Future of Business Analytics in Canada Most businesses now rely on data to extract appropriate information about various aspects, whether the market, target audience, business performance, or productivity. Consequently, the demand for analytical experts has skyrocketed. In other words, the market has witnessed a whopping rise in the jobs for business analytics professionals with appropriate skills and degrees. Besides, more people are becoming aware of the role of business analytics in organizational growth or company, increase in revenue, and a better understanding of the target audience. Therefore, the business analytics market in Canada is one of the most demanding and opportunistic fields for thriving professionals who want to establish a well-secured career. This article will explain the current market trends of business analytics in Canada, the career options people will get, and the industry’s future. Business analytics market in Canada According to the latest studies from CFERF, almost 78% of Canadian companies rely on business analytics to obtain deeper insights into the markets, target audience, internal and external business attributes, and so on. The study also revealed that larger organizations use top-notch and advanced intelligent software programs compared to small-scale businesses. The latter still rely on spreadsheets for data management and processing. According to the studies, there is an approximately $15 billion market size of big data business analytics. Ontario, one of the biggest cities in Canada, generates over 55% of revenues in this market. It provides a golden future for every professional seeking secured, high-paying jobs in the technical field. In 2020, Canada’s big data service market was $1,814 million. Following are some industries in which business analytics Canada is more prevalent and has been used for several years. The IT services industry comprises almost 67% of the business analytics market in Canada. Top tech giants in this country provide business analytical services to various other small and large-scale businesses within and outside the country. It contributes to the large market size. The manufacturing industry uses business data analysis for inventory management, automatic order placement, and prevention of dead stocks. The aerospace industry has also adopted business analytics and now thriving hard to provide optimum and highly advanced services. Healthcare and e-commerce industries also contribute to the business analytics market in Canada. Business analytics careers in Canada There are multiple business analytics career opportunities in Canada. This is because there is a huge demand for professionals in the country, and companies accept this new concept with wide, open arms. People understand the importance of studying data and the host of information and opportunities it can offer. Investing in business analytics has become a prime goal of many businesses across several industries, including IT services, aerospace, healthcare, retail, consumer goods, e-commerce, and so on. Business analytics job types There are multiple roles and positions in various companies where professionals skilled in business analytics Canada can grow their future. These are: Business Analytics Manager As the name suggests, the manager will manage the entire business analytics process from start to end. The professional monitors and supervises data collection, web scraping, and processing. It will include all the phases to ensure the results obtained are accurate and precise. Data Engineer This is another field where people find numerous business analytics jobs in Canada. As a data engineer, you will handle the technical side of data and data science. It can be designing algorithms to collect data from various sources or writing codes for analytical models that can be further used to generate visual data reports or predictive forecasts. Data Scientist A data scientist collects data from various relevant sources per the business requirements. They also proceed further with qualitative analytical methods. Every professional must understand the patterns and trends in the data sets. Another job aspect is converting them into valuable insights from various visual representations, including graphs and charts. Data Architect Another job role that will shape the business analytics market in Canada in the future is that of a Data Architect. The person will handle all the infrastructures and architectures and be involved with data collection and processing. Apart from this, they will be responsible for optimizing the models used for the data analysis process. Job type/roleAnnual salary in INRBusiness Analytics Manager22,00,000Data Engineer8,00,000Data Scientist11,00,000Data Architect22,00,000Source: Glassdoor Find out some of the high-paying jobs in business analytics. Skills and qualifications required for business analytics jobs If you are looking for the best business analytics jobs in Canada, you must develop appropriate skills and acquire the qualifications needed. You can complete an online master’s degree or a diploma in data science, business analytics, and other relevant fields. This will give you the knowledge you need to implement it in the real world and solve the challenges. Apart from these, you also need to develop the following specific skills: Programming skills – machine learning and artificial intelligence are implemented to develop analytical models. You also need to gather knowledge and hands-on experience using a database because it is the ultimate library where all the records will be stored. Mathematical and statistical skills – You need these two skill sets to write the algorithms and logic for the data analytical models and collections. Data visualization – It is an essential skill in establishing a secure career in business analytics Canada. Data visualization is a process through which the information from data analysis can be transformed into visual insights, like graphs and charts. Future of business analytics in Canada The business analytics future in Canada is based on technological advancements. With the adoption of artificial intelligence and machine learning, more and more companies can streamline their analytical processes. They can also ensure appropriate datasets are used to learn and gather profound insights. As professionals will upscale themselves on these technologies, they can apply for the best jobs in the country. However, business analytics will take much time to become a dominating market, like software development and designing, digital marketing, etc. Apart from this, there will be some potential challenges in technology adoption, digital transformation, gaps between requirements and available skill sets, and so on. You may be interested in reading these blog posts on business analytics. Conclusion This article has spoken about some of the significant aspects concerning business analytics future in Canada and the present market. Based on the information, you can clearly understand how profitable this field can be. However, it will be possible only when a working professional develops the required skill set and acquires appropriate educational qualifications. Thus, if you want to work in business analytics, avail yourself of the online M.Sc. in business analytics from Manipal Academy of Higher Education and make your portfolio more versatile. Key takeaways: The business analytics market in Canada is quite huge, and the IT service companies contribute the biggest. Business analytics professionals have several job opportunities thanks to the growing market capacity and size. With appropriate qualifications and skill sets, professionals can secure high-paying jobs in Canada in various industries under business analytics.
10 common resume mistakes to avoid when applying for jobs Your resume outlines your experience, education, and talents to convince hiring managers that you’re a suitable fit for the role. Making sure you avoid typical resume blunders is among the most important aspects of any job hunt. This implies you must create a high-quality resume devoid of the common errors that turn off recruiters. Hiring managers and recruiters may receive 200 or more resumes for just one position they are advertising, and as a result, they only have a short time to review each resume. If your resume is exceptional, you will be considered further and, ideally, invited for an interview. Proofread your resume before sending it and watch out for these mistakes because sometimes all it takes is one resume error to forfeit a job. In actuality, there are several specific resume errors that almost everyone commits, whether they are senior professionals with ten years of experience or recent graduates. But if you get them perfect, you’ll be on your road to your ideal position! Common mistakes to avoid when building your resume The most common mistakes candidates make when working on their resumes include the following: Grammar and spelling mistakes Grammar and spelling are frequent resume faults that quickly cause your candidacy to be disapproved. The first thing an employer will notice about your resume is its look; if they find any errors, you’ve probably lost the job. These errors demonstrate a need for more focus on detail, and if you make them on your resume, you run the possibility of making blunders for the business, which they cannot abide by. You get the chance to exhibit that you possess the necessary linguistic skills on your resume to potential employers. A spellcheck is a handy aid for ensuring that you have noticed all glaring mistakes, and a fast glance may reveal if you’ve used various typefaces or the incorrect bullet point. Dragging things out or leaving things undone There are no set guidelines for resume length, unlike what you might hear or learn, considering that it will be read by employers who have various expectations and preferences. Many candidates strive to fit all their experiences into limited space as they’ve learned resumes must be at most two pages. Job applicants might then omit noteworthy accomplishments. Of course, this does not imply that you need to start writing five-page resumes. Some candidates blather on and on about duplicate or irrelevant experiences. The recruiter will believe that your application needs to be revised if you include unrelated facts and fill in blanks for no apparent reason. You should keep your CV to a maximum of two pages. Utilizing cliches Specific keywords nowadays are mandatory for an applicant tracking software program to process them. However, human recruiters will unavoidably detect an over-reliance on clichés and jargon. Avoid adding obnoxious “buzzwords” on your resume, such as “team player” or “hard worker,” at all costs. These overdone catchphrases don’t reveal the qualities the reader is looking for. Employers also detest the terms “go-getter,” “go-to person,” or “strong work ethic.” Illustrating these qualities and skills is acceptable and even welcomed, but using clichés like these can make the prospective employer perceive you negatively, a scenario you would like to prevent. Developing the ability to articulate your experience and skills in your own words is worthwhile. Emphasizing duties rather than achievements It’s crucial to highlight your skills on your CV, but it’s all simple to fall into the trap of only stating your duties; that repeats what your job description says. Employers, however, are more interested in your achievements across a range of activities than what you have done. One of the most fundamental resume hints is to go beyond simply listing your abilities and illustrate how you added value to each employer by giving concrete instances. Think about the following: How did you outperform others in your job? What issues or difficulties did you encounter? Describe how you addressed them. What was the outcome? How did your efforts benefit the organization? Did this result in any accolades or promotions for you? Including references Even though employers frequently request references as a part of the hiring process, it’s normally optional to list them on a resume. Employers typically ask for references later in the recruiting process after they’ve reviewed the resumes of prospects. Only include references if a potential employer directly requests them on your CV. If you need help, you can make a different document just for your reference. Use the same header, font, and style in this document that you did in your resume to keep the consistency of your relevant documentation. Outdated resume Info Maintaining an updated resume is crucial. Your prospective employer will want to know that you have maintained your skills up to date and are prepared to take on the work right away. Create a resume that is specific to the job you’re seeking by emphasizing any professional accomplishments and specialized abilities. But keep in mind to exclude everything that can be viewed as trivial. Most people typically commit this resume blunder. Absence of specificity It’s crucial while writing your resume to briefly describe the organizational divisions you were in charge of, the actions you performed, and the quantifiable effects those actions had on the bottom line. No action verbs The first word or verb for every bullet point ought to be an action verb or term like expanding, directing, leading, organizing, generating, or managing. These words highlight your initiative and infuse more vitality into the resume’s general tone. The term “responsible for” is among the most common errors, and this is the terminology used in a job posting. For instance, using “responsible for managing material to site” is not appropriate. Change it to “Managing the supply of reserves to the site” by adding an action word to make it more readable. Lack of professional formatting Recruiters focus more on a resume’s flaws than its strengths and search for common resume errors so they can reject you. They typically receive so many submissions for a job that they only have time to scan each one quickly. They will quickly dismiss enough applicants to reduce the number of contenders to a tolerable number. Recruiters will reject applications based on what appear to be frivolous criteria, such as font selection, layout, or the author’s apparent overuse of creativity. It’s critical to have your professional profile statement, list of vital competencies, career history, and credentials organized in a professional-looking manner and tailored using keywords. Using a “one-size-fits-all” strategy Employers usually discard generic resumes that job seekers attempt to create and send in response to all job postings. Using the same resume for all of your applications may increase your chances. However, it may only succeed if the qualifications and experience listed in the job description match. Instead, take a moment to consider how the selection criteria align with your professional background. After that, format your resume to emphasize the expertise you have that is most pertinent to the employment being offered. The bottom line There are several missteps to avoid while creating a resume, as these errors may cost you a job interview. Knowing these typical errors in resume writing and having the skills and know-how to fix them will significantly improve your chances of landing that highly desired interview. So after you’ve got one that’s in decent form, you’ll want to have it reviewed to make sure it’s ready to go. Wishing you success in your career search! With the advent of online courses, learning has become far more accessible to everyone including those who stay in remote areas. Pursuing an UGC-entitled online degree through Online Manipal not only helps you continue your education in a more flexible manner but also helps you land your desired job with good salary package. Online Manipal assists all students find their dream job through placement assistance which covers all aspects of resume building, skill assessment tests, career fairs, job postings, and more.
Why is business intelligence a hot career choice after MCA? A business intelligence analyst examines data to provide market intelligence and financial reports. These studies identify market patterns and trends that could influence a company’s operations and objectives. A business intelligence analyst is knowledgeable in coding languages, BI tools, technologies, and systems. Business intelligence analysts employ cutting-edge software and technologies to mine big data to discover business-critical objectives and requirements, establish KPIs (Key Performance Indicators), implement data warehouse strategies, and find BI (Business Intelligence). The main objective of a business intelligence analyst is to provide decision-makers with precise, timely, and actionable insights that improve worker productivity, market positioning, competitiveness, and customer experience. A business intelligence analyst can earn up to 14.3 lakhs/year What does a Business Intelligence Analyst do? A business intelligence analyst’s typical day entails data collection, analysis, and presentation to the appropriate audience. You can have a positive effect on a company’s overall performance by breaking down these elements into more specific tasks. Any particular data collection effort may follow a process similar to this one: Gather information for business intelligence from sources such as market research studies, public records, field reports, or purchased discoveries. In addition to acquiring information about clients and the market, this may entail upgrading your knowledge of pertinent technological advances or emerging markets in your business. BI analysts develop new data analysis approaches and keep an eye on the outcomes of analytics and metrics. By reviewing customer files and using data profiling to identify anomalies, BI analysts ensure the accuracy of data collection and use. Keep the information in your company’s computer database, which can need revisions frequently. In order to use the database and provide technical support or software maintenance for any special programs, you might also need to establish operational procedures. Analyze the information to find any trends that might have an effect on the business’s strategies. Use the study’s findings to back up suggestions for taking action to advance or perhaps expand the business. Create analytical summaries of your findings and distribute them to the proper company stakeholders using established communication channels. Steps for launching a career in business intelligence: To become a business intelligence analyst, follow these steps: Obtain a degree Getting a degree is the first step in this process. Having a degree is best for becoming a business intelligence analyst. Computer science, data science, business administration, statistics, economics, and related fields are typical majors for business intelligence analysts. Whatever your major, taking courses in statistics, technology, and data analysis will help you in your job as a business intelligence analyst. A master’s degree is often preferred by employers over a bachelor’s degree on a resume. You should pursue an MCA degree to advance your desired, transferable business intelligence skills and knowledge in the field and to land a higher position in the business analytics workforce in India. Get certified The Microsoft Certified: Data Analyst Associate credential is the best professional certification to obtain for BI analyst certification. Your ability to deliver data-based solutions as well as design and implement SQL will be demonstrated by this certification. Implementing a data warehouse and data models, managing SQL databases, designing business solutions, and other topics are covered in the exam curriculum. Another certification that hopefuls can sign up for to obtain a practitioner- or mastery-level certification is the TDWI Certified Business Intelligence Professional. To apply for this exam, you must have at least two years of relevant job experience. It also helps to be certified in specific programming languages, like SAS. If more relevant experience is required, obtain it. If you’re interested in working as a business intelligence analyst, review the job specifications to see if there are any experience requirements for the position. Employers mainly prefer candidates for business intelligence analyst positions if they have relevant work experience in the IT sector, management, or business. Through internship programs and entry-level jobs in your field, such as those of a data analyst or business analyst, you may be able to acquire the experience required for the position of a business intelligence analyst. Interview preparation for business intelligence In the end, you must do well in the interview regardless of your combination of experience and outside study. SQL, analytics, SQL case studies, product/business sense, and statistics are extensively emphasized in business intelligence interviews. Once you’ve identified the business intelligence analyst roles you’re interested in applying for, use the details you gleaned from the job descriptions regarding the abilities and credentials the hiring manager prefers candidates to possess to create a resume specific to the position. When your resume is complete, go back to the original job posting and apply for the position you are interested in. You can submit an updated resume for consideration for a promotion if your present employer has an opening for a business intelligence analyst. Also read: Reasons why Big Data is a great career choice Gain in-depth knowledge of business intelligence with an online MCA through Online Manipal. Manipal University Jaipur’s online program is open to anyone who has a bachelor’s degree or higher from a UGC-recognized institution. In addition to other topics, candidates can learn Python, business intelligence, data warehousing, and machine learning. In addition to offering online educational resources and full-fledged program delivery online, Manipal University Jaipur, has been offering flexible learning possibilities that make use of technology-supported procedures and resources. The online MCA program, divided into four semesters, gives thorough theoretical and practical knowledge of various aspects of computer applications. Conclusion BI makes it possible to combine data from numerous sources, analyze the information, and distribute it to the right stakeholders. As a result, organizations can see the big picture and make informed decisions. Every business decision carries certain inherent risks, but when employing a good BI system, those risks are less obvious or worrisome. Because they are equipped to handle any challenges that may arise, business intelligence in the industry may progress with confidence in a world that is becoming more data-driven. Therefore, it is a fortune-maker rather than a fortune-teller.
How to become a Network Security Engineer with a BCA degree A network security engineer is a particular cybersecurity expert entrusted with safeguarding a company’s network and any users or devices linked to it. These security experts can work in almost any sector because every business with a computer network needs someone to maintain network security. The infrastructure of a network must be maintained by network security experts to guarantee that all users, software, and hardware have a safe and secure environment in which to function. A network security engineer is a cybersecurity specialist who safeguards the network from faults, misuse, or destruction. These engineers do this by putting virus protection in place, scanning the web for vulnerabilities, and developing security policies to guard against future intrusions. The range for an Network engineer salary expectation at each level is as follows: Fresher/entry level pay: The typical starting pay for a Network Security Engineer is around ₹2,58,000/year. Jobs include those for a network security specialist, an analyst, an intrusion analyst, etc. Intermediate salary: The pay for an intermediate Network Security Engineer may range somewhere around ₹5,90,000/year. Consultants in network security and penetration testers are two examples of jobs. Senior level pay: Senior Network Security Engineer salaries typically go up to ₹1m/year. Network security managers and architects are just a few examples of jobs in this field. Skills you should acquire for becoming a Network Security Engineer As the world becomes more digitized, novel techniques are constantly developed to hack computer systems and compromise private data. To protect networks from hackers and other malicious acts, network security engineers must continuously keep one step ahead of them. This position requires outstanding capabilities to ensure that no vulnerabilities exist in the system at any given time. To stay current with the shifting market environment, network security engineers need to refresh their skills on a regular basis. Here are some qualifications needed for this position: A network security expert must be well-versed in many operating systems, including Windows, Linux, and Mac OS. As a cybersecurity specialist, you want to feel at ease using any OS. VMs let you train and conduct a study in a private setting while also enhancing your skills. Data protection is the core concept of network security. Engineers that work in network security must have a thorough understanding of data organization, storage, and distribution. The term “network security control” describes a variety of techniques used to improve network security. You must understand how your network functions as well as how routers, firewalls, and other devices operate. A firewall is a piece of hardware or software that prevents your computer from receiving or sending traffic from the internet. You must use a firewall as a network security professional to filter and stop unauthorized traffic from entering the network. Security engineers discuss updates and breaches with coworkers and members of the team. This indicates that you will be required to communicate difficult technical issues to people in simple terms. The primary duty of a security engineer is to address intricate network security problems and vulnerabilities. Significant problem-identification and problem-solving skills are needed for this. Steps to become a Network Security Engineer Network security is a significant and developing field. Globally, businesses are investing more than ever in technology and digital transformation. Innovative company processes are driven by or informed by artificial intelligence and machine learning. Networks and computer systems are more prevalent and valuable than ever. To maintain business continuity, organizations must have robust network security procedures. Nowadays, both businesses and consumers rely heavily on computing technology. The first step in becoming a security engineer is to research to find out what kinds of employment prospects are available and what type of education, training, and certifications may be needed to land those kinds of roles. The majority of network security professions call for at least a bachelor’s degree, especially in a discipline that involves computers, such as BCA. Graduates with BCA skills can learn about cutting-edge technologies and other knowledge that may be helpful in becoming network security engineers through different programs. A master’s degree may be preferred by some employers, which can help graduates get ready to pursue leadership positions. An online master’s degree in software development is one instance where graduates learn adaptable abilities that may be useful for various job trajectories. Included in the list of skills addressed are learning and improving one’s programming abilities, mastering databases and cloud computing, and designing and building accessible user interfaces. The course of study is extensive and highly specialized. Professional network security certification in specialized disciplines within the larger industry is frequently required of candidates and employees in the network security field. Over the course of a career, building and maintaining a professional network will assist in finding entry-level positions and surfacing and tracking subsequent professional prospects. Also read: How BCA helps IT Professionals with Diploma Become an expert Network Security Engineer with an online BCA from MUJ: BCA is one of the most well-liked graduation programs that students select right after 10+2. Candidates can get the required network security skills by enrolling in online BCA courses from a reputable university like Manipal University, Jaipur. Everyone, from major multinational corporations to governmental institutions, needs the services of qualified network security engineers. The need for these specialists is steadily increasing. There are a lot of hackers out there who constantly target the vulnerabilities of digital businesses. The demand for network security expertise has also increased as more businesses move their transactions and resources online. You need to become proficient in a few key areas, including application security, data secrecy, network security, and cryptography, in order to operate in this industry. Before pursuing this professional path, enroll in a course in network security by MUJ to increase your chances of success in the field. Conclusion Global businesses use computer networks and the internet. As a result, cyberattacks are intensifying rapidly and growing out of control. Therefore, organizations use network security to protect sensitive and private data. Such data loss will be expensive for the business and have severe effects. Network security is crucial for both personal and professional networks. Most houses with high-speed broadband connections have one or more wireless routers, which, if not adequately secured, might be used for malicious purposes.
Data Science & Business Analytics jobs: What to expect The two terms – data science and business analytics – are the two faces of the same coin. They are not only related but also highly interdependent. With data science, business analytics will exist. Alternatively, if businesses focus more on analytics, there will be a demand for data scientists. Thus, data science and analytics are the two most important technologies shaping the future in the best possible manner. Knowing more about how these two technologies are essential in shaping the global job market. This way, you will understand the market more. Moreover, acquiring the necessary education or developing the skills won’t be a problem anymore. Hence, we have discussed how these two technologies are interrelated. Data science and business analytics: Current market trends The data science and business analytics industry has grown significantly in the past few years. As a result, companies are investing considerable money in building a team of data scientists and business analysts. This can help them obtain appropriate insights into various aspects of the business by using datasets. The below points will help you understand how the world is advancing towards a new technological age with business analytics and data science. In 2020, the total market size of business analytics and big data was projected at $98.08 billion. The market size is expected to hit a whopping value of $684.12 billion by 2030. Based on these two expected values, the CAGR or annual growth rate cumulatively is expected to climb to what overall value of 13.5% from 2021 to 2030. Northern America dominated the entire big data and business analytics market as of the reports from 2020 if we go by region-wise classifications and contributions. According to the forecasts, the Asia Pacific region is also expected to have a whopping growth in the number of jobs, data generated, companies adopting business analytics and data science, and so on. Some of the latest market trends in big data and business analytics are acquiring datasets from social media, the requirement of analytical data reports to gain insights into business planning, and so on. From these above explanations, it’s evident how these data science and business analytics job market trends will change the world’s future. These two technologies are essential for IT-related industries. However, aerospace, healthcare, consumer goods, retail, e-commerce, manufacturing, and fabrication can also employ them. Additionally, adopting machine learning, natural language processing, sentiment analysis, prescriptive analysis, and artificial intelligence will propel the market toward a golden future. Therefore, if you are looking for some of the best data science and business analytics job opportunities, it is high time you acquire the skills and proper qualifications. Data science and business analytics jobs The entire data science and business analytics industry is extensive and versatile. It is like bringing two independent pillars together to form a strong base of what we know as computational analysis. Therefore, you must rely on more than just your hands-on experience in either of the fields to get the best job you are looking forward to in your favorite company or with a higher salary slab. To achieve success, you must know the appropriate skills required, drop types, and many other related aspects. You may be interested to read some of the best articles on data science. Types of data science and business analytical jobs You can avail of different types of data science and business analytics job opportunities based on your knowledge and experience. The roles and responsibilities will vary from one job type to another, so acquiring generic and specific skills is essential for every professional. Moreover, you must be qualified to work as a business analyst, data scientist, or in any other relevant role. As of now, here we have discussed some of the job types you can look for in the business analytics and data science fields. business analytics and data science fields. Job typeExpected salary (INR per LPA)Data Engineer8,00,000Business Analytics Manager22,10,000Database Administrator7,20,000Data Scientist11,00,000Data Miner1,20,000Data Architect22,00,000Data Security5,29,000Data Analyst6,00,000Source: Glassdoor Qualification and skillset needed As already discussed, the existing business analytics and data science job market trends prove that every professional must be highly qualified. With appropriate qualifications, you will be able to gain the skill set required to become a data scientist, business analyst, or any other relevant title holder with expertise. Hence, the following are some skills you must develop to ensure you can get the best job in the data science and business analytics field. Programming knowledge is essential because you must design the data analysis models. You can start with Python or Java as the basic programming languages. However, experienced professionals can go for high-level languages like R programming. You also need to know about the database, queries, schemas, table views, patching activities, etc. If your job demands being a database administrator or supervisor, you must handle the entire storage warehouse of various data sets and records. Knowing statistical and mathematical methods is important for a business analyst or data scientist. This is because you need to write algorithm logic based on which data can be collected, processed, cleaned, and analyzed. Try to gain hands-on experience in web scraping and data visualization. These two are the preliminary steps to convert datasets into valuable insights. Future of data science and business analytics in the job market Whether blockchain or serverless computing, data science and business analytics have increased by a whopping value in the past few years. Almost every business wants to achieve an upper hand in terms of sales, customer base, and brand reputation. Data can provide them leverage by giving them deeper insights into the market and target audience. Apart from this, data science and business analytics help solve real-time challenges promptly, mitigate business failure risks, and eliminate bottlenecks in the market. Conclusion This article focused on how the future of data science and business analytics will shape the entire global market. We have also discussed the current market trends, job opportunities, and skills every professional must develop. Based on these explanations, it’s evident that data science and business analytics will become a dominating market by the end of 2030. Acquire the necessary data skills with online M.Sc. in Data Science or Business Analytics program from Manipal Academy of Higher Education (MAHE). Offered through Online Manipal, the programs are designed for online delivery and help learners become future-ready. On the state-of-the-art learning management system (LMS), you can access the course material any time, anywhere using your favorite device. Online Manipal also provides placement assistance to help you find a suitable career and thrive in your professional life. To know more, visit Online Manipal website. Key takeaways: The global data science and business analytics market will hit a total valuation of approximately $684.12 billion by 2030. This blog will give you an idea about the growing business analytics and data science market. Appropriate skills and qualifications are essential for the best data science and business analytics job.
Exploring the emerging trendy job titles in today’s market Job titles have been dynamic over the years. Changes in business approaches and technological transformation contributed to inventing, modifying or upgrading job roles and titles. In the 1980s and 90s, for example, we saw companies appointing Chief Information Officers as a result of information technology growth. In recent times, we are witnessing the emergence of new job roles and flashy job titles, thanks to disruption by technology as well as the pandemic. Read on to know more about job roles after BBA. Demystifying trendy job titles Here we list some of the newly evolved job roles and job titles. Some of these are entirely new roles and some are just flashy nomenclature for the existing role. Chief Visionary Officer A Chief Visionary Officer (CVO) is an executive role responsible for setting the vision and strategy for a company. The CVO is responsible for understanding the current and future trends in the industry and setting a strategic direction for the company. The CVO must also ensure that the company’s vision and strategy are communicated to the rest of the organization and implemented effectively. The CVO is often involved in making decisions about product development, marketing, and overall operations. Chief Innovation Evangelist This role is a product of the burgeoning startup culture. A Chief Innovation Evangelist is responsible for driving innovation within an organization. The role involves helping to create an environment where new ideas can be incubated and brought to life, while also encouraging collaboration and interdisciplinary problem solving. The Chief Innovation Evangelist should have an in-depth knowledge of the industries and markets the organization operates in and be able to identify areas for disruption and new opportunities. Business Development Guru It is another term for Business Development specialist or executive. A Business Development Guru is an individual who specializes in helping businesses identify and develop opportunities for growth and profitability. They are often hired as consultants to help businesses assess their current operations, identify new market opportunities, and develop strategies for achieving their goals. Business Development Gurus are typically highly knowledgeable and experienced in areas such as market analysis, sales, customer service, and product development, and they have the ability to develop creative and innovative solutions to help businesses reach their potential. Ninjaneer Ninjaneer is a term used to describe a person who is highly proficient in an area or technology, often through a combination of expertise, experience, and self-taught skills. Ninjaneers often have a deep understanding of the technology, processes, and tools used in their field and can quickly and effectively solve complex problems. They are typically highly creative and driven and are often seen as “go-to” people for difficult tasks. Chief Remote Officer It is got popularized during the Covid years when companies shifted to work from home for business continuity. A Chief Remote Officer (CRO) oversees an organization’s remote operations. The CRO is responsible for developing policies, processes, and strategies for effectively managing remote teams, including setting up and managing remote systems, tools, and communication protocols. The CRO should be knowledgeable about the latest remote technologies and trends and have experience in managing remote teams. Additionally, they should be able to foster a culture of collaboration and support among remote team members. You may be interested to know more about top MBA jobs in US. Client success/Customer Success Specialist It is an upgrade of sales roles. A Client Success/Customer Success Specialist ensures that a company’s clients or customers are getting the most out of their products or services. The Client Success/Customer Success Specialist is typically responsible for assessing customer needs and expectations, providing support and guidance to customers, and managing customer relationships. They are typically knowledgeable about the company’s products and services and can provide the necessary support and guidance to ensure that customers are getting the best possible experience. Additionally, they are often tasked with developing strategies and processes to ensure client satisfaction and loyalty. Contact Tracing Specialist This role is the direct result of the pandemic. A Contact Tracing Specialist is a healthcare professional who is responsible for identifying and tracking the contacts of individuals who have tested positive for a communicable disease. Contact tracing involves interviewing patients to determine who they have been in contact with and then tracing those contacts to determine if they have been exposed to the disease. The Contact Tracing Specialist is expected to ensure that contacts are identified and contacted in a timely manner and that appropriate measures are taken to protect the contacts from the further transmission of the disease. Head of Team Anywhere It is another level of Remote Officer. A Head of Team Anywhere is responsible for overseeing an organization’s remote operations. The Head of Team Anywhere is responsible for developing, managing, and overseeing policies, processes, and strategies related to managing remote teams, from setting up remote systems and tools to overseeing communication protocols. The Head of Team Anywhere should be knowledgeable about the latest remote technologies and trends and have experience in managing remote teams. Additionally, they should be able to foster a culture of collaboration and support among remote team members. Chief Heart Officer A Chief Heart Officer (CHO) oversees the organization’s efforts to promote positive mental and physical health for its employees. The CHO should be knowledgeable about the latest health trends, have an understanding of the science behind health, and be able to develop strategies to ensure the health and well-being of the organization’s employees. The CHO should also be able to develop initiatives and campaigns to promote healthy lifestyles and habits and be able to track the progress of the organization’s health initiatives. Moreover, the CHO should be able to foster a culture of health within the organization and be able to provide regular health education and support to employees. Head of Dynamic Work It is also related to the Remote Officer and Head of Team Anywhere. A Head of Dynamic Work ensures that the teams and employees in their organizations are able to work efficiently, effectively, and in a manner that is most suited to their individual needs. The Head of Dynamic Work should be knowledgeable about the latest trends in remote work and be able to develop strategies to ensure that employees can work remotely, flexibly, and productively. You may like to understand how to find a job after career break. Conclusion We have listed some of the job roles and titles that have emerged recently across the globe. Some of these are extensions of the current job roles or just nomenclature changes. Some roles, such as Chief Heart Officer and Head of Dynamic Work, emerged as a need of the hours and have emerged to boost the morale of the employees while they continue working in the distributed locations. There are some job roles to attract Gen-Z individuals and address their needs. However, there are concerns among professionals about these non-traditional job titles. Because it is new in the market, employers will find it difficult to understand the job responsibilities and expected outcomes of these roles when a person applies for jobs in another company. When time passes, the issue will be solved, or a common nomenclature may be introduced to use across the domains. Anyway, this trend indicates that future jobs will be entirely different from what we are currently accustomed to. It is imperative for everyone to become future-ready with the necessary skills in their respective domains and excel in their field. Online degree or certificate programs will be helpful for everyone to acquire future-ready skills and thrive in future workplaces. Get to know more about online programs at Online Manipal.
How B.Com graduates make an impact in the e-commerce field The global eCommerce industry has huge potential, and new products are being constantly launched online for sale on the internet and various websites. As per reports, eCommerce markets hit USD 5 trillion in 2021, and the industry is expected to flourish even more over the years to come. With such remarkable growth, pursuing a career in this field is a great way to thrive. And with the boom in digital innovations, more customers are increasingly shopping online. The likes of Amazon and Swift Medical started from humble beginnings, and every successful eCommerce giant started by selling their own wares and taking advantage of affiliate marketing. B.Com graduates can bring unique perspectives into the field and help establish upcoming businesses online. Read on to learn more about how they can make an impact below. Why are B.Com graduates more suitable for e-commerce jobs? B.Com graduates have a good understanding of financial markets and in-depth knowledge of different industries, including how commerce, business, and trading systems work. Pursuing a Bachelor’s Degree in Commerce can open up a door of opportunities since a B.Com in ecommerce teaches students about business principles and eCommerce software, and gets them familiarized with various concepts in finance, marketing, and marketing, all of which are relevant to the industry. Here are key reasons why B.Com skills are more suitable for e-commerce jobs: In-depth Business Analytics Skills – Business analysts are critical to every company, and B.Com graduates can track data and give relevant advice in a way that generates profits. Financial modeling, forecasting, data visualizations, and generating reports for derived insights fall under the responsibilities of being a B.Com graduate. Project Management – B.Com graduates can take on business projects from start to finish. They understand budgets, market trends, and how sales ecosystems operate. Accounting and taxation are two critical foundational skills taught in a commerce degree, and commerce graduates become well-versed in trade laws, copyright, auditing, and banking principles. All these skills translate to effective project management, and with good direction, they can provide faster implementations and reduce time to market. Marketing and Communications – Aspirants become good at Human resource management by collaborating with others. B.Com graduates are good role models as team leaders and collaborators and don’t have trouble syncing with different departments. They can run various campaigns, test their effectiveness, and are skilled at building interpersonal relationships. Clients want marketers who can sell ideas and bring them to life, and B.Com graduates often have the expertise required to deliver that. Also read: Advantages of a B.Com Degree Best e-commerce jobs for B.Com graduates There is a wide range of job roles a B.Com student can apply for after graduating. Here is an extensive list along with B.Com salary expectations: E-Commerce Operations Manager E-commerce operations managers handle marketing, operations, financial management, and third-party fulfillment. They oversee day-to-day operations and work with a team of individuals, often coordinating with different business functions. The salary of an ecommerce operations manager can go up to INR 21.9 lacs or higher depending on the brand or with additional years of work experience. E-Commerce Analyst E-commerce analysts analyze business specifications and objectives and create documentation that maps out milestones and helps groups ensure that the company is on track and reaches its goals. The salary of an ecommerce analyst in India can go up to INR 9 lacs a year. Product Manager A product manager identifies customer requirements and incorporates new features into business elements to ensure they get satisfied. They take visions and turn them into a reality for the company. Setting strategies, product release dates, organizing product launches, feature releases, updates, and reporting on project progress are some of their many responsibilities. A product manager can earn up to a staggering INR 35 lacs per annum. Inventory Manager Inventory managers keep track of company stocks, analyze supplies, and evaluate shipments. An inventory manager can get as much as INR 9.1 lacs depending on the company or job experience. Sales and Business Development Manager These professionals are tasked with the company’s growth, planning and implementing new target market initiatives, and refining sales cycles. The average salary of a sales and business development manager in India is INR 7.5 lacs. Digital Marketing Manager A digital marketing manager builds the brand’s online presence and maintains customer relationships by engaging with users across various social media circles. Their duties include marketing research, social media campaign management, brand strategizing, content creation, and cross-promotions. A digital marketing manager can earn up to INR 9.1 lacs annually with more experience. Logistics Coordinator They play an essential role in getting the product from the company’s headquarters to the customers’ hands in a timely manner. A logistics coordinator can earn up to INR 4.2 lacs in India, and Supply Chain Manager A supply chain manager is responsible for managing the company’s warehousing requirements. They are responsible for taking care of warehouse inventory, deliveries, reverse logistics, and building strong supplier relationships. The highest salary of a supply chain manager can go up to INR 25 lacs per year. Also read: Top companies that hire B.Com graduates Kickstart your career in the e-commerce industry with an online B.Com from MUJ Manipal University Jaipur prepares students for a fast-evolving career in the field of eCommerce by equipping aspirants with the skills needed to succeed in the industry. The online Bachelor’s Degree in Commerce runs for up to 36 months and is a UGC-entitled degree from NAAC A+ university. Students get free access to exclusive Coursera content and learn at their own pace. The digital platform, Online Manipal, is immersive and features an exclusive student portal where learners can directly connect with mentors and receive career guidance or counseling as well. MUJ’s online degree is widely recognized and accepted by higher education institutions, government organizations, and corporate firms as well. Conclusion Starting a career in the eCommerce industry can be highly rewarding, and getting a Bachelor’s Degree in Commerce online is the first step. If you’ve ever wanted to work with fast-changing environments and tie up with brands that impact the world, then this is your chance to realize those dreams today.
How can TAPMI’s online MBA-BKFS candidates switch to managerial roles in the banking sector? The banking industry is continuously evolving, and so are the expectations from the professionals working in it. So, how to get a manager role in a bank? To keep up with the times, TAPMI’s online MBA-BKFS program offers an in-depth understanding of the sector and imparts the required skills and knowledge to help working professionals become successful managers in the banking and finance sector. The career progression is massive as this comprehensive program provides a wealth of opportunities for its participants to gain an edge over their competitors and be at the forefront of this dynamic industry. Online MBA-BKFS banking electives TAPMI’s online MBA-BKFS program is designed to meet the needs of banking and finance professionals. The program provides four industry-oriented electives – Analytics for banking and finance, Banking, Capital markets, and Advanced Corporate Finance. The program’s banking elective specifically covers topics that help candidates keep up with trends in the banking sector so that they can stay ahead of the competition and advance their careers. Topics covered under the banking elective are: Banking Laws & Regulations Treasury & Asset Liability Management Fraud Risk Management & Forensic Accounting International Banking & Foreign Exchange Credit Analysis & Risk Management Financing Of International Trade These topics help students stay up-to-date with the changing trends in the banking sector and equip them with the skills and knowledge required to smoothly take on managerial roles in the banking sector. How the online MBA-BKFS program helps you get into the banking sector The online MBA-BKFS program at TAPMI offers a comprehensive knowledge of the banking sector, equipping students with the skills and knowledge needed to excel in managerial roles. Students in this program gain a deep understanding of the financial markets and products, banking regulations, and risk management, allowing them to become successful leaders in the banking industry. The curriculum is designed to keep up with the rapidly changing banking sector, providing students with the tools they need to stay on top of the latest trends and developments. With a comprehensive education in the banking sector, learners of this program will possess the knowledge and expertise to excel in their career paths. To know more, you can also read How MBA-BKFS helps you transition into leadership positions in the BFSI sector. Top jobs roles to explore The banking sector offers a wide range of job roles for MBA-BKFS professionals. Some of the top job roles include: Bank Manager: Bank Managers are responsible for managing the day-to-day operations of a bank. They are responsible for developing and implementing strategies to ensure the bank’s success. They also ensure compliance with laws and regulations and manage customer relationships. Investment Banker: Investment bankers are responsible for providing financial advice and solutions to organizations. They analyze investments, identify potential risks and opportunities, and recommend solutions to clients. Financial Risk Manager: Financial Risk Managers are responsible for analyzing and managing the financial risks associated with an organization. They are responsible for developing strategies to mitigate, monitor, and manage financial risks. Budget Analyst: Budget Analysts are responsible for analyzing the financial performance of an organization. They develop strategies to ensure the organization’s financial goals are met. They also analyze potential investments and make recommendations to management. Financial Analyst: Financial Analysts are responsible for analyzing the financial performance of an organization. They develop financial models to assess the organization’s performance and make recommendations to management. Internal Auditor: Internal Auditors are responsible for assessing the internal controls of an organization. They are responsible for evaluating the organization’s financial systems and procedures and making recommendations to management. Credit Risk Analyst: Credit Risk Analysts are responsible for assessing the creditworthiness of an organization. They analyze the financial performance of an organization and make recommendations to management. Relationship Manager: Relationship Managers are responsible for managing relationships with customers. They provide advice and guidance to customers regarding financial products and services. They also ensure compliance with laws and regulations. Pursue an online MBA-BKFS from TAPMI TAPMI’s online MBA-BKFS program is designed to provide working professionals with an in-depth understanding of the banking industry. From banking regulations and laws to financial analysis and decision-making, the program covers every topic needed to stay up to date with the banking sector’s changing trends and acquire the skills to take on managerial positions. Students will also learn about banking products and services, risk management, capital markets, asset and liability management, financial engineering, and investment banking. With this comprehensive knowledge and skill set, professionals can confidently meet the challenges of the banking sector and move ahead in their careers. Conclusion The banking sector is ever-evolving and requires professionals to stay up to date with the latest trends. TAPMI’s online MBA program covers a wide range of topics which helps students stay up to date with the changing trends in the banking sector and equip them with the skills and knowledge required to take on high-ranking roles in the banking sector.
Data modelling and how to go about doing it in 2023 The process of conceptually representing data, including the connections between various data items, is known as data modelling. Data organization, structure, and simplification are the goals of data modelling, which aims to make data simpler and easier to comprehend, use, and analyze. The representation of data models can take several forms, including diagrams, flowcharts, and mathematical equations. Types of data modelling Data modelling approaches come in a variety of forms, including conceptual, logical, and physical data modelling. Conceptual data modelling Figure 1: Conceptual data model Conceptual data modelling is the technique of representing the data at a high level without focusing on the finer points. It is used to establish a shared understanding of the data requirements and focuses on the meaning and linkages of the data. Logical data modelling Figure 2: Logical data model The process of constructing a thorough representation of the data, including the connections between various data items and the rules and restrictions that apply to the data, is known as logical data modelling. There is no one particular technology or database management system that this kind of data modelling is depending on. Physical data modelling Figure 3: Physical data model The process of developing a representation of the data that may be used in a particular technology or database management system is known as physical data modelling. It contains specifics like data types, storage architectures, and access techniques. Benefits of data modelling In data science initiatives, data modelling has a number of benefits, including: Organization: Data modelling aids in structuring and organizing data in a way that makes it simple to comprehend and use. Possibilities for prediction: Data modelling allows for the prediction of future trends and patterns in the data. Finding connections: Data modelling can be used to find links and relationships between various data items, which is helpful in finding patterns and trends. Simplification: Large and complex datasets can be summarized and made easier to understand and deal with through the use of data modelling. In order to handle vast amounts of data and numerous users, data models can be made to be scalable. Data modelling tools Some of the most well-liked data modelling tools as of 2021 that you might wish to get to know in 2023 include: ER/Studio is an all-inclusive data modelling application that provides data integration, design, and architecture for various data platforms. This visual tool for creating and managing MySQL databases is called MySQL Workbench. It enables the building of intricate SQL scripts and supports both forward and reverse engineering. ER diagrams, flowcharts, and other diagrams can be created using the web-based data modelling tool Lucidchart. Additionally, it has a function for integrated collaboration. PowerDesigner is an all-inclusive data modelling application that provides data integration, design, and architecture for various data platforms. DataGrip is a cross-platform data modelling tool that works with MySQL, PostgreSQL, Oracle, and SQL Server among other database management systems. A visual tool for managing MongoDB databases is called MongoDB Compass. It offers a GUI for managing users and indexes and allows you to explore and analyze the data. DBeaver is a free, open-source, multi-platform SQL client and database administration application. It runs on Windows, Linux, and macOS and supports all popular DBMS. It’s important to keep in mind that the acceptance of data modelling tools varies based on the use case, sector, and location. It’s crucial to consider which tool would be ideal for your organization’s needs. You may like to read tools covered in online M.Sc. in Data Science program at MAHE. Conclusion Data modelling is the process of creating a representation of data in a specific format that can be used for analysis, storage, and other purposes. In 2023, data modelling continues to be an important part of data science, machine learning, and other fields that rely on large amounts of data. Techniques such as neural networks, decision trees, and clustering are commonly used to create models that can accurately predict outcomes or identify patterns in data. Additionally, data modelling has become more important in the age of big data, as it allows organizations to process and make sense of large amounts of data in real-time. With the emergence of new technologies such as edge computing, data modelling is evolving to become more efficient and more effective at handling large datasets. If you would like to learn more about data modelling, enroll in online M.Sc. in Data Science program at Manipal Academy of Higher Education (MAHE). It covers end-to-end aspects of data science to prepare you for the future.
Your Ultimate Guide to Data Science Jobs in 2024 In the ever-evolving world of technology, data science has emerged as one of the most sought-after career paths. With each passing year, the demand for skilled data science professionals continues to grow exponentially. As we look ahead to 2024, it’s clear that data science jobs will only become more prominent and vital in diverse industries. If you’re a new graduate or someone looking to enter the exciting field of data science, you may be wondering about the job prospects and opportunities available to you. In this blog post, we’ll explore the world of data science jobs and provide valuable insights into what employers are looking for in candidates. From the skills and qualifications you’ll need to the various industries that are hiring data scientists, we’ll cover it all. The rise of artificial intelligence and machine learning has led to an increased need for professionals who can make sense of vast amounts of complex data. From healthcare to finance, data science is revolutionizing how businesses operate and make informed decisions. What is data science? Data science is a method to help professionals combine statistical studies, high-level programming, machine learning, artificial intelligence, and advanced computational and analytical methods to discover trends and patterns in different datasets. It’s like mapping an itinerary and executing the same to acquire hidden information for different datasets, including sales reports of the last six years, customer acquisition costs for the past months, and so on. There are four major phases in a data science project lifecycle. To develop data science skills in 2024, professionals need to know these four phases, described in detail below. The first phase is data ingestion, where raw unstructured and structured datasets are collected from several relevant sources using multiple collection methods. It can be web scraping, manual entry, data streams, or anything else. In the second phase, the data sets collected are perfectly stored and then sent for further processes. For instance, the datasets are structured according to the company protocols and filtered further to remove any irrelevant data in the entire set. The third and most crucial phase is data analysis. In this step, data scientists implement myriad processes and tools to analyze structured datasets and generate reports, visuals, and forecasts. The models are primarily based on AI and machine learning to ensure the information is accurate, real-time based, and precise. The final step of the data science lifecycle is communication. It means that data analysts communicate the reports or forecasts with other employees in that company, executives, stakeholders, and sometimes other third-party associations. Understanding and knowing these four phases is crucial for a better data science career outlook in 2024. Besides, you can also know the part of the entire lifecycle you want to focus on in your career. Is data science really a rising career? Absolutely! Data science is indeed a rising career with immense potential. In today’s data-driven world, organizations across industries are recognizing the value of data and seeking professionals who can analyze and interpret it effectively. Data scientists play a crucial role in extracting insights from large amounts of data to drive decision-making, improve processes, and gain a competitive edge. With advancements in technology and the increasing availability of data, the demand for skilled data scientists is on the rise. It offers diverse opportunities for growth and innovation in various sectors such as finance, healthcare, e-commerce, marketing, and more. Along with traditional data science roles like data scientist and data analyst, the field also offers high-paying and reputable job positions like data architect and big data engineer. So, if you have an interest in analytics and problem-solving, pursuing a career in data science can be a promising choice. What are the essential skills needed for a data science job? The essential skills needed for a data science job include proficiency in programming languages like Python or R, statistical analysis and modeling, data visualization, machine learning algorithms, data cleaning and preprocessing, and strong problem-solving and analytical thinking abilities. Potential data science trends in 2024 As data plays a crucial role in gaining valuable insights about business, market, customers, etc., the data science industry is predicted to grow with new trends in 2024 and beyond, especially in fields such as healthcare. It’s essential to be aware of these emerging trends to stay ahead in the job market and secure your future as a data scientist. Additionally, this knowledge provides you with a competitive advantage in the long term. With big data applications currently on the rise, a new concept called ‘small data’ has recently emerged. Small data analytical methods are useful when resources such as bandwidth, time, and budget are limited. In these cases, smaller machine learning algorithms are employed to analyze a subset of the data, allowing for a deeper understanding to be gained from the dataset. Once businesses get their reports, forecasts, and visual insights, they can leverage the information to implement data-driven CX. It gives them an upper hand in retaining customers at a higher rate and acquiring new customers without investing many resources in marketing and advertisements. Artificial intelligence analytical models will also revolutionize business operations and bring many prospects for organizations. AI can make any process more accurate, precise, and relevant to human expertise. Therefore, the results obtained from an AI analytical model will have a few mistakes or errors. Businesses now prefer to go beyond numbers and use textual content, reactions, and other elements such as data. For instance, analysts can know more about customer sentiments through textual information given in survey forms, feedback portals, and so on. It’s one of the primary reasons why data is considered the biggest asset for any company or business. Top data science job roles in 2024 Data analyst Data Analysts currently have the highest data science salary in 2024. They are responsible for analyzing large datasets from various sources. They perform various tasks such as executing search and modification queries, understanding the data structure and the information it contains and selecting the right analytical model. Additionally, they must optimize their work and design algorithms to analyze the datasets without errors or inconsistencies. Database Administrator If you want to diversify your data science career outlook in 2024, being a database administrator is your best option. As the name suggests, you will be in charge of the database and ensure that all stored records are unique and flawless. You must also handle the database schemas, table views, and several other aspects. From running patch activities to database rebase and refresh, you will be responsible for keeping the database updated with new and structured information as an administrator. Data Engineer One of the best data science job opportunities in 2024 is to become a data engineer. You will have to work on various data types and design models using technologies such as artificial intelligence, sentiment analysis, data normalization, machine learning, and natural language processing. Besides this, you will also be responsible for creating visual graphics and charts according to the reports obtained from the analytical data phase. Machine Learning Engineer To establish a well-secured career in the data science job market in 2024, you can apply for a machine learning engineer role. As the ML engineer, you will be responsible for creating and executing various algorithms for data analysis, operating and managing the analytical models based on ML and AI combined, and even implementing new strategies to ensure the analytical results are accurate and require strong analytical skills, including proficiency in programming languages such as Python, SQL, and R. This role also involves data preparation, including data collection, profiling, EDA, and data preparation for AI model development and experimentation, as well as forecasting, making it a highly sought-after position for those with a background in computer science. Data Scientist Last but not least, you can opt to become a data scientist. The two primary roles of data scientist are gathering data from various relevant sources concerning the business and qualitatively analyzing the same to extract appropriate information. You will work closely with several other professionals involved in the data science lifecycle to ensure the collected data can reveal important facts about the business, customer market, etc. In 2024, data analytics will continue to be a crucial aspect of the data science field, making roles such as associate data scientist, junior data scientist, data scientist, and technology solutions expert highly sought after for their expertise in data visualization and automation. Conclusion Are you interested in data science jobs? There are many opportunities in India and it’s up to you to decide if this is the right career for you. You can get a degree or certificate in data science, learn more about technology, and apply for roles at different companies. The demand for data science professionals is growing in India, so there are many options available. To become a skilled professional, you can enroll in an online program like Manipal Academy of Higher Education’s (MAHE) MSc in Data Science, which focuses on providing comprehensive training in data analytics, machine learning, and other relevant areas. This program equips you with the necessary skills to excel in the field of data science and opens up a world of opportunities.
