Data Job Market 2024: Insights You Need to Boost Your Career

Are you intrigued by how data can help make decisions and solve tough problems? If yes, then you’re not the only one. In today’s rapidly growing, tech-savvy and data-driven world, the role of data analysts has always been crucial. From healthcare and finance to marketing and sports, these unsung heroes turn the raw data into actionable insights behind the scenes.   

The data job market 2024 is always changing, bringing challenges and opportunities for people who want to build a successful career in this exciting field. Jobs are growing fast due to technology and digitisation. Big data is one of the top technologies expected to create many data marketing jobs. The number of jobs for data analysts, big data experts, AI machine learning experts, and cybersecurity professionals is expected to go up by about 30 per cent by 2027, says a report by The Hindu BusinessLine.   

In this article, we’ll look at what’s happening in the data science job market right now, explore how to start a data science career, and give you helpful tips to succeed in this competitive industry.  

Understanding the Data Job Market 2024  

The data job market in 2024 is overflowing with opportunities across various domains and industries. With the exponential growth of data, companies are actively seeking professionals who can harness the power of data science and technology to drive informed decision-making and gain a competitive edge.   

Data analysts and engineers play crucial roles in different industries. In healthcare, they use data to predict disease outbreaks, keep track of patient patterns, and improve treatments. In finance, they help uncover fraud, handle risks, and decide where to invest money. And in sports, they look at player performance, plan games, and improve training.

Why a Career in Data Science?

Nowadays, students are more curious about becoming data analysts. Data science careers are now among the most sought-after, which is not surprising given the massive amount of data generated today.  

Companies across all industries require professionals who can handle data, analyse it, find valuable insights, and use those insights to solve important business challenges. So, this is why a career in data science is a good choice for you:

• Industry Demand: The job market for data analysts is taking off and it’s not expected to slow down soon. According to the US Bureau of Labor Statistics, the number of analyst jobs is predicted to increase by 23% from 2022 to 2032. So, if you’re searching for a secure career, this might just be it!  
• Expected Salary: On an average, a data analyst with two years of experience in India earns around Rs 11.5 lakh per year, with salaries typically falling between Rs 8.6 to Rs 14.4 lakh per year.   
• Ample Job Opportunities: Data analysts and engineers get ample data science job opportunities with technological advancements and the daily generation of massive data.   
• Satisfaction at Job: Data analysts generally express high levels of job satisfaction, with an average rating of 3.9 out of 5 stars, according to PayScale data.

How to Start Data Science Career?

Beginning a career is like starting from scratch. You don’t become an expert or earn big money right away. It takes time and patience to gain knowledge and skills in your field. Here’s a basic guide on how to start a career in data science.

1. Learn the essential data science skills: To start with, it is crucial to learn foundational skills such as mathematics and basic statistics. It would help if you familiarised yourself with SQL, Python, R, Spark, or HADOOP.
2. Get Qualified in Data Science: Your qualification should include a university degree, online bootcamps, self-study (learn additional skills online) and globally recognised certifications. Data Science Engineering is one of the most popular data science courses after 12^th nowadays.
3. Practice Your Data Science Skills: To develop your skills, you need to practice them as learning alone can’t help. Working on individual projects is one way of developing skills. You can get free datasets from online repositories like DataCamp workspace, Kaggle, UCI Machine Learning Repository, FiveThirtyEight, and Google Dataset Search.
4. Create a Portfolio of Your Projects: An attractive portfolio of projects you have worked on earlier will help you stand out among others in the industry. Some advice for you: Avoid cookie-cutter projects and focus on the projects that you find interesting.
5. Start Applying for Entry-level Data Science Jobs: You can find jobs on various online platforms like LinkedIn, Indeed, Google for Jobs, Naukari.com, Glassdoor, Shine, Upwork Inc. and many more.
6. Build Your Network: Networking is vital for your career growth. Connect with professionals in your field on platforms like LinkedIn or GitHub. Reach out to alumni, seniors, and others working in data-related roles.

What are the career opportunities in Data Science?   

There are plenty of different jobs available for data scientists, each with its own unique opportunities. Some typical roles you might find in the field of data science include:  

• Data Scientist  
• Data Analyst   
• Data Science Engineer   
• ML Engineer   
• Business Intelligence Analyst   
• Data Architect   
• Statistician   
• Quantitative Analyst   
• Data Science Manager   
• AI Research Scientist 

Data scientists have a wide range of job opportunities available to them in various industries such as healthcare, finance, retail, and technology. They can also work in different types of organisations, including startups, large corporations, consulting firms, research institutions, and government agencies.

Which Data Science Course to Study?   

Data Science and Engineering is a diverse field that combines skills in mathematics, statistics, programming languages, and more. Now that you’ve explored the abundant career paths and job opportunities in data science, you might be curious about which courses would best suit your interests and goals from the extensive array of options available.   

The top educational institutions offer undergrad courses in Data Science with specialisations in AI and ML. You can choose the specialisations based on your interests and goals.

Where to Study?   

The next obvious question is where to study! Choosing the best institution is crucial in shaping your data science career. Let’s find a solution.  

With a serene landscape and growth-focused ecosystem, Shoolini University offers the best data science courses in India. Shoolini is ranked the No.1 Private University in India (QS and Times Higher Education World University Rankings). In addition, Shoolini is the No.1 Engineering University in India, according to the Times Higher Education Subject Rankings 2024.

Why Choose Shoolini University?   

Shoolini is among the top patent filers in India, boasting over 1500 patents filed by faculty and students. Its research-focused curriculum equips students with the skills and knowledge necessary to thrive in today’s dynamic world. The University has 11 Centres of Excellence and 104+ state-of-the-art laboratories, all geared to promote research and facilitate paper publications. The fully residential flagship program, known as the Summit Research Program (SRP), empowers students to commence research work, publish papers, and file patents right from their first year of undergraduate studies.

Hear about Shoolini’s B Tech CSE Data Science course from our student:

Data Science Course at Shoolini   

The Yogananda School of AI, Computers and Data Science offers 4-year B Tech CSE Data Science at Shoolini University. The intricately designed curriculum provides a research-oriented and innovative ecosystem for students. The faculty consists of esteemed academicians and professional experts from prestigious institutions such as IITs, IIMs, IISc, leading tech giants, and multinational corporations, many of whom hold international qualifications. This ensures that students are provided with top-notch education and mentorship, equipping them for success in the competitive realm of Computer Science and Engineering.  

The University is equipped with an Experience Centre dedicated to emerging technologies such as Augmented Reality (AR), Virtual Reality (VR), Internet of Things (IoT), and Drone technology. Serving as a hub for research across various disciplines and practical applications, this centre encourages innovation and creativity among students.  

Shoolini University partners with IBM to give students access to cutting-edge technology and opportunities to earn certifications in 180 professional modules covering all core specilaisations. Global giants like Microsoft and AWS Academy support the engineering curriculum. They provide course materials, technology platform access, and certifications to students. Further, strategic partnerships with esteemed institutions such as Ikigai Lab, Punjab Engineering College, and IIT Kanpur enhance the learning experience. These collaborations enable students to engage in cutting-edge research projects and contribute to advancements in Computer Science and Engineering (CSE).   

Shoolini boasts a remarkable track record of 100% placement, with graduates securing positions in leading industries. Under ‘Mission 130’, the University aims at 100% employability with 30% in top companies. Each year, students are placed in prominent companies such as L&T, Reliance Jio, Eicher, Havells, Microtek, Onida, Vardhman, and Window IT, through recruitment drives conducted by the Placement Cell.

End Note  

The data engineering job market in 2024 is brimming with potential for those with the right skills, ideas, and passion. Whether you’re interested in data marketing, data science, or data engineering, there’s a niche waiting to be filled. B Tech in Data Science from the best Engineering University in India, Shoolini University, can be your first step towards a fulfilling career. Admissions for CSE 2024 are now open at Shoolini University.  

Apply now to grab your spot!