Top Data Analytics Jobs to Consider in 2025
This career paths will allow you to turn numbers into narratives and insights into action.
What can give businesses or brands actionable insights—market information, research, or a well-structured data that contains it all? Think about it. According to the U.S. Bureau of Labor Statistics (BLS), data analyst jobs are projected to increase by 23% from 2022 to 2032, which is much faster than the average for other U.S. jobs.
For centuries, the world has thrived on data to make decisions, predict trends, optimize operations, and stay ahead of the competition. If you don’t know what I mean, let’s think back to the 1900s when the gold standard collapsed. Data made it possible to understand that most countries could no longer peg their currency to gold as exchange rates began floating against each other, and inflation increased heavily. Fast forward to the COVID-19 outbreak of 2020—data helped us track infection rates, predict outbreaks, and develop vaccines at record speeds.
However, all these breakthroughs wouldn’t have been possible without experts who specialize in handling, interpreting, and securing data. If you're considering a career in data analytics, here are seven top roles you can explore in 2025.
Top 7 Data Analytics Jobs to Consider in 2025
1. Data Governance Analyst
It is possible to use data in an unethical way, thereby causing losses or regulatory violations. To prevent this, a Data Governance Analyst is responsible for designing and implementing policies, rules, and systems to manage an organization's data throughout its lifecycle. This includes ensuring data quality, security, and compliance by defining data ownership, access controls, and data usage standards. Ultimately, they aim to optimize data analytics practices and adhere to regulatory requirements within the company.
The total estimated pay for a Data Governance Analyst is $153,228 per year, with an average salary of $114,789 per year.
2. Data Engineer
While it is possible to use manual processes to collect and store data, it is limited in scale and efficiency. A more structured and capable approach is to build infrastructures that automate these processes—this is where Data Engineers come in. They are responsible for designing, developing, and maintaining data architectures, transforming raw data into a usable format for data scientists and analysts. They create data pipelines that extract, transform, and load (ETL) data, essentially making data accessible for analysis and decision-making within an organization.
The average salary for a Data Engineer is around $110,000 per year in the United States, though this can vary significantly based on location, experience level, company size, and technical skills.
3. Business Analyst
A Business Analyst primarily analyzes a company's operations and processes to identify areas for improvement by collecting and interpreting data that identify problems, and propose solutions. They work closely with stakeholders to implement changes that optimize efficiency and achieve business goals. Essentially, they act as a bridge between business needs and technical solutions.
The total estimated pay for a Business Analyst is $129,250 per year, with an average salary of $94,035 per year.
4. Data Architect
Data architecture is paramount in every data-driven organization. For example, without a solid data architecture, businesses would struggle to manage, store, and retrieve their vast amounts of data efficiently. A Data Architect defines how data is stored, accessed, integrated, and managed across different systems to ensure it aligns with business goals and supports efficient data analysis and decision-making processes.
Data Architects can earn up to $189,679 per year, with an average salary of $142,358 annually.
5. Marketing Analytics Manager
Any business built for success will be known through its Marketing Analytics Manager. Although other factors contribute to a business’s success, marketing analytics plays a crucial role in driving growth. These professionals are responsible for collecting, analyzing, and interpreting marketing data from various sources to provide actionable insights that inform and improve marketing strategies. Essentially, they use data to guide decision-making and optimize campaign performance across different channels to maximize return on investment (ROI).
Earning potential for a Marketing Analytics Manager varies based on industry, experience, and location, but the average pay is around $120,000 per year, according to Glassdoor.
6. Quantitative Analyst
Quantitative Analysts, or "Quants," use mathematical and statistical methods to analyze financial data and develop complex models that help organizations make data-driven investment and risk management decisions. They play a crucial role in hedge funds, investment banks, and financial institutions.
On average, they earn $150,000 per year, with senior professionals making well over $200,000.
7. Data Scientist
Data Scientists are at the forefront of AI, machine learning, and advanced analytics. They collect, clean, and analyze complex data sets to extract valuable insights that drive strategic decisions. They use statistical techniques, predictive modeling, and machine learning algorithms to solve business problems and forecast trends.
The average salary for a Data Scientist is $140,000 per year, with experienced professionals earning upwards of $180,000.
Conclusion
While it is a known fact that data is the backbone of decision-making, raw numbers without interpretation mean nothing without the right minds to decode them. It’s not just about collecting information—it’s about transforming it into insights that drive innovation, efficiency, and competitive advantage.
What makes it even more interesting is that every business, regardless of industry, needs data to grow, adapt, and stay ahead. So if you are someone who enjoys problem-solving, uncovering patterns, and making an impact through informed decision-making, a career in data analytics could be your gateway to shaping the future.
