The data analyst salary range draws attention from anyone exploring careers in data, and for good reason. Data analysts earn well above the national median, with pay that grows as skills and experience accumulate. Compensation varies by experience level, industry and location, but the overall trend is strong. University of North Carolina Wilmington’s online Master of Science in Business Analytics builds the technical depth and business strategy skills that move analysts into the highest-earning roles.
This guide breaks down what data analysts earn at each stage of their career, from entry-level roles to management, and how industry and location shift those numbers. It also looks at why the job outlook remains strong and how an advanced degree can accelerate the move into higher-paying roles.
What Is the Average Data Analyst Salary?
The average data analyst salary in the U.S. lands right around $83,000 per year, though the exact figure shifts depending on the data source, industry and region. ZipRecruiter and the U.S. Bureau of Labor Statistics (BLS) both point to strong, above-median pay for the role, even before factoring in experience or location premiums.
ZipRecruiter reports the average data analyst salary at $82,640, with the middle half of earners making between $62,500 and $97,000 depending on experience and employer, and top performers reaching $120,500. BLS reports a median wage of $112,590 for the closely related data scientist occupation, noticeably higher than the data analyst figures above and a reflection of the added technical depth that role typically requires. Whichever figure applies, both sit well above the national median wage.
What Drives the Range
The data analyst salary range is wide because several variables shift pay. Experience carries the most weight. The industry a data analyst works in and the city where they work also push pay higher or lower. Technical skills such as SQL, Python and data visualization affect where an analyst lands within the range.
How Much Do Data Analysts Make by Experience Level?
Data analyst salary by experience level shows steady growth from entry to senior roles, with pay roughly doubling over a full career. Analysts who invest early in building technical skills tend to move through these stages fastest.
How much data analysts make depends heavily on experience level, but the numbers are strong at every stage. ZipRecruiter reports data analysts with less than a year of experience average $68,487. Pay climbs steadily from there as analysts gain experience and take on more responsibility. At the highest experience level, with more than eight years on the job, ZipRecruiter reports data analysts averaging $99,231.
Moving Into Leadership
Analysts who move into management see large jumps. ZipRecruiter reports analytics managers earn an average of $125,326, and directors of analytics average $158,116, with typical pay ranging from $112,000 to $180,000. That leadership track isn’t limited to a “data analyst” title — the same analytical and communication skills carry directly into business analyst, analytics consultant, and operations or supply chain analytics roles, where turning data into a business decision, not just a report, is what drives the pay jump. Entry-level data analyst pay marks a strong starting point, but the ceiling rises steeply for those who build both technical depth and business decision-making skills, often through a graduate program such as UNCW’s online Master of Science in Business Analytics.
Which Industries Pay Data Analysts the Most?
Technology, finance and consulting pay data analysts the most, with average salaries in those fields often reaching $100,000 or higher. Industries that rely most heavily on data-driven decision-making tend to compete hardest for analytics talent, which keeps pay elevated in those sectors.
Industry is one of the biggest drivers of the data analytics salary gap. BLS reports that data science roles in computer systems design earn a median of $128,020 annually, the highest of any sector it tracks, followed by management of companies and enterprises at $126,940 and scientific research and development at $120,090. Consulting and insurance roles trail slightly behind, with median pay of $110,240 and $108,920, respectively, though both still sit well above the national median wage. Staying current on big data and real-time analytics trends helps analysts identify which industries are investing most heavily in data talent and position themselves accordingly.
How Does Location Affect Data Analyst Salaries?
Location can increase the salary for data analysts, with major tech and finance hubs offering the highest pay. Cost of living and local competition for talent both help explain these regional gaps.
Major coastal tech and finance hubs tend to post the highest salaries, while smaller metro areas and regions with a lower cost of living typically land closer to the national average. Analysts open to relocating, or to remote roles based in a higher-paying market, often have the most room to grow their earnings through location alone.
Is Data Analytics a Good Career for Earning Potential?
Yes, data analytics offers strong starting pay, a clear path to six-figure roles and one of the fastest-growing job outlooks in the country. Few career paths combine that level of financial upside with such consistent, long-term demand.
The data analyst job outlook is strong. BLS projects data science roles will grow 34% between 2024 and 2034, far outpacing the average for all occupations. The World Economic Forum‘s Future of Jobs Report 2025 names big data specialist as the single fastest-growing job worldwide through 2030, with demand for AI, machine learning and other data-driven roles rising right alongside it.
Earning potential grows further as analysts move into roles such as business intelligence analyst, business analyst, analytics consultant, data engineer or data scientist, where median salaries regularly exceed $100,000, particularly as machine learning reshapes how organizations put data to work. An advanced degree accelerates that move — and the highest-paying version of that move usually runs through the business side of analytics as much as the technical side: turning models and dashboards into decisions for marketing, operations or supply chain teams.
Turning Data Analyst Salary Potential Into a Long-Term Career
The numbers make one thing clear: data analyst salaries reward professionals who keep building their skills, and the pay gap between entry-level and senior roles widens fastest for those who combine experience with the right technical and industry focus. Location and industry both matter, but the biggest lever most analysts control is how quickly they grow their capabilities.
An advanced degree is one of the fastest ways to close that gap — and it closes it differently than a stand-alone certificate or self-paced course does. A certificate can teach a specific tool; it rarely builds the end-to-end skill of turning a messy, real-world dataset into a business recommendation and defending that recommendation to stakeholders who don’t think in code, which is what separates a $99,000 senior analyst from a $125,000-plus analytics manager.
UNCW’s online Master of Science in Business Analytics builds that end-to-end skill directly into the program through an industry capstone project, where students work a real business problem for an actual organization from raw data through a final recommendation — not a simulated case study.
Apply now to UNCW’s online Master of Science in Business Analytics to start building the skills behind the salary numbers above.
About UNCW’s Online MS in Business Analytics
The University of North Carolina Wilmington offers an online Master of Science in Business Analytics designed for working professionals who want to advance in data-driven careers. Students develop expertise across the full analytics spectrum — descriptive, predictive and prescriptive analytics, plus decision-support and operations-focused coursework — through real-world case studies, simulations and an industry capstone project with an outside organization.
The program runs fully online with no campus visits required, allowing students to balance coursework with existing professional and personal commitments. Graduates enter roles spanning business analyst, analytics consultant, data analyst, and operations, supply chain or marketing analytics positions across industries including finance, healthcare and technology. Learn more about UNCW’s online Master of Science in Business Analytics.
