TL;DR
Data Analyst Salary by Company data tells a story most job seekers never see coming: two analysts, same title, same responsibilities, and a six-figure gap in what they take home. One accepts $65,000 because the offer sounded reasonable. The other signs with Meta and clears $230,000 before the first bonus lands.
That gap isn’t random, and it has nothing to do with who negotiated harder. It’s baked into the name on the offer letter before you even walk through the door. Most salary guides average these numbers together and call it done, which is exactly how people leave six figures on the table without realizing it.
This guide breaks that number apart by employer, so you know exactly where the money sits before you accept anything. For the full national breakdown across every city and level, start with our Data Analyst Salary in the US 2026 guide, or browse our complete salary database on the WhatIsTheSalary homepage.
The National Average, and Why It’s Misleading
Glassdoor puts the average data analyst salary at $93,589 per year nationally, with a typical range of $72,290 to $122,317 depending on experience and location. PayScale’s numbers sit a bit lower, with most analysts landing between $51,000 and $95,000 in base pay.
The Bureau of Labor Statistics doesn’t track “data analyst” as its own category, so most researchers use Operations Research Analyst as the closest proxy, which reports a median annual wage around $87,640 to $91,290.
None of those numbers are wrong. They’re just averaging together a huge range of employers, from small nonprofits to trillion-dollar tech companies, and that averaging hides the part that actually matters to you: where you work changes your pay far more than your years of experience does, at least in the early and mid stages of your career.
Data Analyst Salary by Company: The 2026 Breakdown
Here’s how the numbers actually stack up once you separate Big Tech from everyone else. Figures below reflect median total compensation, meaning base salary plus bonus plus the yearly value of any stock grants, sourced from Levels.fyi, Indeed, and Glassdoor company pages current as of 2026.
| Company | Median Total Comp | Entry-Level Range | Senior / Top Range |
| Meta | $229,300 | $144,000 | $392,000+ |
| Amazon | $193,000 | $122,000 | $270,000 |
| Microsoft | $191,000 – $195,000 | $141,000 | $204,000 – $229,000 |
| $170,000 | $145,000 | $386,000+ | |
| Apple | $164,000 – $170,000 | $85,800 | $197,000 – $246,000 |
| Capital One | $120,000 – $121,367 | $61,000 | $196,000 |
| Deloitte | $104,143 (avg.) | $62,919 | $187,127 (analytics manager) |
| US National Median (all industries) | $93,589 – $94,000 | $72,290 (25th pct.) | $122,317 (75th pct.) |
Meta
Meta tops the list, and it isn’t close. The median total package for a data analyst at Meta sits around $229,300, with reported packages climbing past $390,000 at senior levels. Base salary is competitive but not shocking on its own.
What pushes the number up is Meta’s RSU structure, which grants a large chunk of stock upfront and vests it over four years, so early-tenure employees often see their total comp rise sharply as the stock price moves.
Amazon
Amazon’s data analyst pay runs from roughly $122,000 at entry level up to $270,000 for the highest reported packages, with a median around $193,000. Amazon is known for a lower base salary relative to peers, offset by a front-loaded RSU vesting schedule that’s heavier in years one and two than years three and four. If you’re evaluating an Amazon offer, read the vesting schedule line by line before you compare it to a flatter offer somewhere else.
Microsoft
Microsoft data analysts earn a median total package of roughly $191,000 to $195,000, with a range from $141,000 at entry levels up to $229,000 for more senior submissions. Microsoft’s leveling system (59 through 63 and beyond) ties pay bands to scope of work rather than job title alone, so a “Senior Data Analyst” doing platform-wide reporting can out-earn a “Lead Analyst” on a smaller team.
Google’s range is the widest of the major players, running from $145,000 for an L3 up to $386,000 for L6, with a median around $170,000. Google calls its RSUs “GSUs,” and the vesting cadence changes based on how many units you’re granted, anywhere from annual vesting for small grants to monthly vesting once you clear 160 units.
That detail matters more than people expect when you’re deciding whether to negotiate for more cash or more stock.
Apple
Apple pays data analysts a median total package of roughly $164,000 to $170,000, with a range from $85,800 at the ICT2 level up to $246,000 at the higher end.
Apple’s internal title for this work is often folded into broader “Analyst” or “Business Analyst” postings rather than a standalone data analyst track, so it’s worth checking the actual job description, not just the title, when you’re comparing an Apple offer to a peer company.
Capital One and Deloitte: The Non-Tech Comparison
Not every strong data analyst employer is a household tech name. Capital One, which runs one of the more data-heavy operations in banking, pays an average of roughly $120,000 to $121,367 for data analyst roles, with senior analyst postings reaching close to $196,000. Deloitte, representing the consulting side of the market, averages closer to $104,143, with analytics managers earning upward of $187,000. Both are respectable numbers and both come without the stock-price volatility that Big Tech comp carries.
Why the Pay Gap Is So Wide
Three things explain almost all of the gap between a $90,000 data analyst job and a $230,000 one.
Salary by Experience Level
Company matters, but tenure still shifts the number meaningfully within any given employer.
Entry Level (0-2 Years)
Entry-level data analysts typically start between $58,000 and $85,000 outside of tech, and between $85,000 and $145,000 inside it. Our entry-level data analyst salary breakdown covers city-by-city ranges if you’re negotiating your first offer.
Mid-Level (3-6 Years)
This is where the biggest jump happens. Analysts who move from a generalist role into a specialized tool stack, or who switch employers at the three-to-five-year mark, often see a 20% to 35% raise in one move. Staying put tends to grow pay slower than switching.
Senior and Lead (7+ Years)
Senior and lead analysts blur into analytics engineering and management territory. At this stage, titles get stretched, meaning a “Lead Analyst” doing near-engineering work can be recruited against software engineering managers making close to $190,000, so it pays to know your market value rather than trusting your internal title.
What Actually Moves Your Salary
Beyond your employer, a handful of factors reliably push pay up. Owning SQL plus a BI tool plus Python earns more than SQL and Excel alone. Experience with experimentation platforms and statistical testing pulls analysts closer to data scientist pay.
Certifications help too, particularly ones tied to a specific platform like Tableau, Power BI, or a cloud provider’s data tools. Our guide to the best certifications for data scientists is a useful reference even for analysts eyeing that adjacent track, since a lot of the credentialing overlaps.
Breaking In Without a Traditional Background
A four-year degree still helps, but it’s no longer the only door in. Plenty of working analysts came in through bootcamps, self-taught SQL and Python projects, or a lateral move from a reporting-heavy role in operations or finance.
If you’re weighing your options, our guide on how to become a data analyst without a degree walks through what actually gets you hired, and our comparison of data analyst bootcamp vs. degree breaks down the cost and time tradeoffs of each path.
Once you’re in the role, mapping out where you want to go matters just as much as how you got there. Our full data analyst career path guide lays out the typical progression from junior analyst through to analytics leadership.
Data Analyst vs. Data Scientist Pay
A lot of analysts eventually ask whether the jump to data science is worth it financially. At most companies, yes, meaningfully. Meta’s median data scientist package sits around $320,000, and Apple’s data scientists report a median near $310,000 to $326,000, both well above the data analyst numbers at the same companies.
If you’re weighing that move, our breakdown of how to become a data scientist and the data scientist career path guide both cover the skills gap you’d need to close. If location is part of your decision, data scientist salary by city and entry-level data scientist salary in the US are worth a look before you commit to the transition.
Remote Work Is Reshaping These Numbers
More employers are hiring data analysts remotely and paying national or near-national rates rather than adjusting heavily for zip code. That’s good news if you live somewhere with a lower cost of living, since a $130,000 remote offer stretches a lot further outside San Francisco or Seattle. Our roundup of remote data analyst jobs in the US tracks which companies are actively hiring this way and what they’re paying.
If You’re Still Weighing Career Paths
Data analytics isn’t the only high-paying data-adjacent field worth comparing before you commit years of your career to it. Cybersecurity draws a lot of the same analytical, detail-oriented people, and it has its own well-paid ladder. If you want to see how that path compares, our guides on becoming a cybersecurity analyst without a degree, the typical cybersecurity career path, and where that road eventually leads in our CISO salary guide are worth a skim before you settle on analytics for good.
Frequently Asked Questions
-
Which company pays data analysts the most in 2026?
Meta currently reports the highest median total compensation for data analysts among major employers, at roughly $229,300, followed closely by Amazon and Microsoft.
-
Is a data analyst salary higher than a data scientist salary?
No. Data scientists typically earn 40% to 70% more than data analysts at the same company, since the role usually requires stronger statistics, machine learning, and coding skills.
-
Do data analysts get stock options or RSUs?
At most tech companies, yes. RSUs are standard at Google, Meta, Amazon, Microsoft, and Apple, typically vesting over four years. Traditional employers like banks and consulting firms mostly pay cash only.
-
How much do entry-level data analysts make in 2026?
Entry-level pay ranges from about $58,000 outside tech to $145,000 inside it, with the national 25th percentile sitting around $72,290 according to Glassdoor.
-
Can you become a data analyst without a college degree?
Yes. Bootcamps, self-taught portfolios, and lateral moves from reporting-heavy roles are all common entry points, though a degree can still help at large employers with strict screening.
-
What skills increase a data analyst’s salary the fastest?
SQL, Python, and a BI tool like Tableau or Power BI together, plus experience with A/B testing and experimentation, tend to move pay the most within a two to three year window.
Share Your Own Numbers
If you’ve negotiated an offer recently, moved between one of these companies, or just found a gap between what you’re earning and what this article says, drop it in the comments. Real offer data is what keeps guides like this accurate, and it helps the next person walking into a negotiation with better information than they had going in.
How This Article Was Created
Every figure in this article was pulled from publicly reported compensation data on Levels.fyi, Glassdoor, Indeed, PayScale, Robert Half’s 2026 Salary Guide, and the US Bureau of Labor Statistics, current as of September 2026. No numbers were estimated or invented. This article was written to help job seekers understand and negotiate their pay, not to promote or recruit for any company mentioned.
Shahzada Muhammad Ali Qureshi (Leeo)
I’m Shahzada — a software engineer by education and an SEO professional by trade. I built WhatIsTheSalary.com to go beyond just showing salary numbers — every page is manually researched across sources like BLS, Glassdoor, LinkedIn Salary, and PayScale to give you the full picture in one place. If you found what you were looking for here, that’s exactly the point.
