Big news for data analytics jobs in 2025—they're going to see a major increase! Discover more about the highest-paying gigs in this guide.
Tech and information careers can be unpredictable due to their flexible nature. But jobs in data science, especially in data analytics, are steadily on the rise.
IBM got it right when they predicted a 28% increase in demand for data scientists in 2020. And it's not the only good news. The U.S. Bureau of Labor Statistics says data science and analytics are among the top 20 fastest-growing jobs. They even expect demand to jump by over 30% in the next ten years.
What Data Analysts Do
Data analysts have a crucial job: they gather, clean, and make sense of a lot of data to help make smart decisions. They use skills like math, statistics, programming, and data visualization to do their main tasks.
Data analysts work in different areas, like healthcare or business. There are various types of data analyst jobs: some manage data warehouses, others create models with company data to aid decisions, and some specialize in data mining. Each analyst has their own skills, but one thing is for sure: companies always need skilled data analysts.
10 High-paying jobs in Data Analytics
Check below these highly paid jobs in the field of data analytics:
1. Marketing Analyst
Market research analysts often gather and study market data using tools like Google Analytics and BuzzSumo. This role not only demands expertise in data science but also requires skills in digital marketing and presenting data visually. With more companies embracing the digital world, the need for digital marketing (and, consequently, the number of data analyst jobs) is bound to grow.
Below are some links for marketing analyst jobs:
1. Marketing Analyst (Acevector Limited)
2.Marketing Analyst (CloudRay)
2. Quantitative Analyst
Quantitative analysts use numbers and data from polls and surveys to help companies make important financial and business decisions. To do this job, you need to know a lot about data science and statistical analysis, and it also helps to be familiar with business management and finance.
Below are some links for quantitative analyst jobs:
1. Senior Quantitative Analyst, Media Data Service
2. Quantitative Analyst (Graviton Research Capital LLP)
3. IT System Analysts
IT systems analysts, often called technology analysts, focus on creating, putting into action, and studying different information systems. To tackle technical problems your company might encounter, it's essential to have a solid grasp of the different hardware and software parts in devices and machines.
Here are a few jobs:
4. Data Engineer
Data engineers find trends and unusual patterns in data sets. They create new algorithms to handle data and extract valuable insights.
To do this job, you need a good understanding of technical aspects like data structure and programming languages such as SQL (structured query language) and Python.
Below are some links to the Data Engineer Jobs page:
1. Data Engineer (S&P Global)
2. Data Engineer (Inspire Brands Hyderabad Support Center)
3. Data Engineer (IBM)
5. Data Scientist
As a data scientist, your main tasks involve gathering and analyzing extensive data sets. A strong understanding of databases and data structures is crucial as you work to organize and prepare them for thorough data analysis.
Check below for data scientist jobs:
2. Power BI Data Analytics & Data Scientist
6. Business Intelligence Analyst
Business analysts play a crucial role in improving the overall performance of a company. Beyond studying structure and design, they delve into operational processes, identifying areas for enhancement, and proposing strategies for increased efficiency.
Here are a few business intelligence analyst jobs below:
1.Sr. Business Intelligence Analyst, Data Insights & Visualization
2. Business Intelligence Analyst
3. Senior Business Intelligence Analyst
7. Operations Analyst
Operations analysts focus on studying a business's internal and external processes. They analyze the company's hierarchy, departmental communication, and interaction, including how the organization engages with outsourced work. By evaluating operational workflows, they identify areas for improvement, ensuring smoother operations and increased productivity.
Their role extends to coordinating with external partners for seamless integration. In essence, operations analysts play a crucial role in optimizing business processes for success and sustained growth.
Looking for jobs? Here are a few:
1. Investment Data Operations Analyst (Pune)
2. Client Reporting – Data Feeds - Operations Analyst
3. HR Program & Operations Analyst
8. Database Administrator
As a database administrator or database manager, your role involves overseeing and assessing database structures and software to ensure they align with your employer's requirements. This demands substantial expertise in data storage, warehousing, and general structures. Additionally, proficiency in coding languages such as Python and Java, along with databases like MySQL and MSSQL, is essential for success in this role.
Check out the jobs below:
1. Cloud Data Architecture Database Administrator
2. Internal Firm Services - Technology - Applications - Database Administrator
9. Data Analyst
Data analysts frequently collaborate directly with managers and executives in companies. They are regularly sought after for data-supported recommendations regarding future company decisions and operational strategies. To excel as a data analyst, keen attention to detail and the ability to identify trends and anomalies in extensive data sets are essential skills.
Below are a few Data Analyst Jobs:
2. Data Analyst (Aeries)
3. Data Analyst (PayU)
10.Data Architect
Data architects are responsible for crafting blueprints and designs for data management and storage systems. While their role isn't directly focused on extracting insights from data, familiarity with the analysis process is crucial to constructing appropriate data structures. In simpler terms, even though they may not analyze the data themselves, they need to grasp the fundamentals of the process.
Check out these Data Architect Jobs Below:
1. India Market Unit - RES - CAL - Data Architect - 09
2. GN - Utilities - Data Architect - 07
3. Technical Lead - Big Data Architect
These are the Data analytics jobs such as Data engineer, marketing Analyst, etc you can apply for by directly clicking on the link. Make sure that you read the Job description before applying for it.
Stay tuned for more job updates!
FAQs
Yes. Data analytics continues to be one of the most in-demand career paths globally in 2025. With companies increasingly relying on data to optimize marketing, operations, and customer experience, roles such as data analysts, scientists, engineers, and BI specialists are highly sought after.
To enter the field in 2025, you’ll typically need:
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A degree in data science, statistics, computer science, or business analytics
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Knowledge of tools like SQL, Excel, Tableau/Power BI
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Programming experience in Python or R
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Courses or certifications (Google Data Analytics, IBM, Coursera, Udacity)
Even if you don’t have a traditional degree, hands-on projects, bootcamps, and portfolios can help you stand out.
Top industries actively hiring in 2025 include:
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Healthcare (patient data, predictive analytics)
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Finance and banking (risk, fraud detection)
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E-commerce and retail (customer behavior)
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Manufacturing and logistics (supply chain optimization)
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EdTech and SaaS (product and user analysis)
Data analytics has become essential across both tech and non-tech industries.
Salaries depend on experience, skillset, and company, but averages in 2025 are:
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Entry-level (0–2 years): ₹5–8 LPA
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Mid-level (3–5 years): ₹10–16 LPA
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Senior-level (6+ years): ₹18–30+ LPA
Specialized skills in AI/ML, cloud analytics, or finance can push these numbers even higher.
Key tools and technologies include:
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SQL for querying databases
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Python for data analysis and automation
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Power BI/Tableau for visualization
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Excel for data manipulation
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Google Analytics for web and marketing insights
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BigQuery/Snowflake for cloud data warehousing
Learning these tools will prepare you for most analyst and BI roles.
Yes, many data analytics roles offer remote or hybrid work setups in 2025. Companies now use cloud-based platforms and collaboration tools, making it easy for data professionals to work from anywhere. However, some roles may still require occasional office presence.
If you're starting from scratch:
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Begin with online courses in Excel, SQL, and Python
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Build sample projects with public datasets (Kaggle, GitHub)
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Create a personal portfolio or blog to showcase your analysis
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Get certified (Google, IBM, or Microsoft analytics programs)
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Apply for internships, freelance gigs, or entry-level roles
Passion for problem-solving and consistent learning is key to breaking into the field.