Big data analytics—the convergence of technology, engineering, business, science, and social science—continues to evolve. In 2025, more big changes are expected in the always evolving field of big data, including the continued integration of artificial intelligence (AI) and machine learning, advancements in quantum computing, and a greater emphasis on data privacy and security.
As the field continues to adapt to these trends, the demand for qualified big data analytics professionals is rising. According to the U.S. Bureau of Labor Statistics, the projected employment growth for data scientists between 2023 and 2033 is 36%, outpacing all other data-related occupations.
In addition, all data-related jobs had a median annual wage above the median for all occupations as of 2022.
With a master’s degree in big data analytics, you can position yourself for success in these high-demand, lucrative careers. Below are the top 10 most in-demand jobs in big data analytics:
1. Data Scientist
Data scientists collect, analyze, and interpret large datasets to provide actionable insights for organizations Typical tasks include data cleaning, statistical modeling, and machine learning.
Median Pay: $108,020
Who’s a good fit? Problem-solvers with strong programming skills in Python, R, and SQL, and an analytical mindset.
2. Data Analyst
Data analysts gather and interpret data to help organizations make informed decisions. They focus on data collection, data cleaning, data modeling, and collaboration with other departments.
Median Pay: $83,640
Who’s a good fit? People who enjoy working with data but prefer a more structured approach than a data scientist.
3. Data Engineer
Data engineers build infrastructure to collect, manage, and convert raw data into usable formats. Tasks include developing data pipelines and ensuring data compliance.
Median Pay: $127,315
Who’s a good fit? Those with strong technical skills in software engineering and database management.
4. Data Architect
Data architects design data systems and databases to meet business needs, ensuring scalability and efficiency.
Median Pay: $188,000
Who’s a good fit? Strategic thinkers with expertise in system design and a focus on long-term data solutions.
5. Machine Learning Engineer
These professionals develop algorithms and models that enable machines to perform tasks without explicit programing. Their expertise is vital for creating systems that can learn and adapt from data.
Median Pay: $167,383
Who’s a good fit? Those with a background in software engineering and a passion for AI and data-driven problem-solving.
6. Business Intelligence Analyst
Business intelligence analysts analyze data to produce insights that guide business decisions. They focus on reporting, predictive modeling, and data cleansing.
Median Pay: $108,020
Who’s a good fit? Individuals with a mix of analytical skills and business acumen, and can communicate insights clearly.
7. Cybersecurity Analyst
With the increasing importance of data security, cybersecurity analysts are crucial for protecting organizations’ data from breaches and cyber threats. They monitor networks and implement security measures to safeguard sensitive information.
Median Pay: $120,360
Who’s a good fit? Detail-oriented individuals with a passion for security protocols and data protection.
8. Artificial Intelligence Engineer
AI engineers create and deploy AI models and algorithms to solve complex problems across industries. They use tools such as TensorFlow, PyTorch, and cloud platforms.
Median Pay: $145,080
Who’s a good fit? Those with strong programming skills and an interest in developing intelligent, scalable solutions.
9. Financial Analyst
Financial analysts use mathematical models, statistical techniques, and computational tools to analyze financial data and develop strategies.
Median Pay: $99,010
Who’s a good fit? Those with strong quantitative skills and an interest in financial markets.
10. Financial Risk Specialist
These professionals identify, analyze, and mitigate risks that could impact an organization’s financial health. Some responsibilities include risk assessment, risk mitigation, and reporting.
Median Pay: $106,090
Who’s a good fit? Those with a background in finance and risk management, who are capable of assessing and mitigating risks.
Take the Next Step Towards Your Career in Big Data Analytics
Whether you’re looking to complete your degree or you’re just getting started, SDSU Global Campus is here to help you achieve your goals. Our Online Master of Science in Big Data Analytics is designed for busy professionals like you—offering a flexible dual-core approach that makes it ideal for currently-working individuals.
Designed to meet the growing need for data scientists and data analytics experts, you can gain computational skills and analytical methods for both data models and business applications.
Stephanie Meza
“My experience earning my master’s in Big Data Analytics through SDSU Global Campus has been incredibly rewarding,” said student Stephanie Meza. “The program has allowed me to deepen my understanding of advanced AI techniques and data analytics tools while also providing numerous opportunities to apply these skills to real-world problems. One of the most impactful aspects has been integrating my learning into research, where I’ve been able to critically analyze complex issues and develop actionable solutions. The program has challenged me to think more strategically and creatively, equipping me with the tools to tackle data-driven challenges with confidence.”
