Ian Klosowicz
The typical entry-level data analyst salary in the U.S. sits between $52,000 and $75,000. The median is around $62,000 to $65,000 for someone in their first role. That range is real but it's wide, and understanding what sits at the top versus the bottom of it matters more than knowing the average.
Here's what actually drives where your first offer lands.
Location still matters more than most other factors at the entry level. The same junior analyst role pays very differently depending on where the company is based.
High cost-of-living markets (San Francisco, New York, Seattle, Boston): $70,000 to $95,000. These markets have higher absolute pay but the cost of living offsets a significant portion of it. Remote roles at companies headquartered in these markets often pay at this rate regardless of where you live.
Mid-tier markets (Chicago, Austin, Denver, Atlanta, Dallas, Minneapolis): $58,000 to $78,000. Strong markets with meaningful analyst hiring and lower cost-of-living pressure. The best combination of salary and take-home for most people.
Lower cost-of-living markets and smaller cities: $48,000 to $65,000. Pay is lower in absolute terms but stretches further. Government and healthcare analyst roles in these markets often anchor the lower end.
Remote roles: Pay varies widely. Some companies pay location-based (meaning your salary adjusts to your location), others pay a flat national rate anchored to their headquarters market. Always ask which model applies during the offer stage.
One thing worth knowing: the salary figures that show up on job boards and aggregate sites like Glassdoor and Levels.fyi skew toward tech and finance roles in major metros. They overrepresent the high end. The median entry-level analyst salary across all industries and geographies is lower than what you'll see cited in most "data analytics salary" articles.
Beyond geography, the industry you land in determines your salary ceiling more than anything else at the entry level.
Tech and software companies: $75,000 to $100,000 for entry-level analyst roles. The high end of the market. Also the most competitive to get into, with the highest bar for technical skills and often the most rigorous interview process.
Finance, banking, and fintech: $65,000 to $90,000. Financial services pays well at the analyst level, especially at larger banks and fintech companies. FP&A analyst and financial data analyst roles in this sector often come in above what a comparable operations analyst role at a consumer company would pay.
Consulting: $60,000 to $80,000. Entry-level analyst roles at consulting firms come with structured training and clear promotion paths. Pay is solid but hours can be long.
Healthcare: $55,000 to $75,000. Healthcare analytics is one of the largest employer categories for data analysts and one of the more accessible at entry level. Pay is middle of the range but demand is consistent and growing.
Retail and consumer goods: $52,000 to $70,000. Solid entry point with real analytical work, especially at larger retailers with mature data teams. Pay is lower than tech or finance but competition is also lower.
Nonprofit and government: $45,000 to $65,000. The lowest-paying segment of the market. Offset by job security, mission-driven work, and -- for government roles -- defined benefit pensions and predictable hours. Some people explicitly choose this path.
Insurance: $55,000 to $72,000. Underrated employer category for analysts. Stable, data-heavy work with consistent hiring and less competition than tech.
The practical implication: if maximizing starting salary is the priority, target tech or finance. If getting a first role faster matters more than starting salary, target healthcare, retail, or insurance where the bar is lower and domain knowledge from a career change often counts more.
Larger companies generally pay more at the entry level than smaller ones -- but the gap is smaller than people expect, and smaller companies sometimes offer faster growth in scope and responsibility.
Enterprise companies (5,000+ employees): More structured salary bands, clearer career paths, and typically higher total compensation including benefits. Entry-level analyst roles at large companies often start at $65,000 to $80,000 depending on industry. The trade-off is that the work can be narrower -- you might own one specific report or one slice of the analytics function.
Mid-size companies (500 to 5,000 employees): The middle ground on pay and scope. Often $58,000 to $72,000 at entry level. More variety in the day-to-day work. More visible contribution. Sometimes faster advancement.
Small companies and startups (under 500 employees): Pay can be lower ($50,000 to $65,000) but equity or equity-adjacent compensation sometimes appears. The analytical scope is often broader -- you might own more of the function earlier. For building a portfolio of experience quickly, small companies can punch above their pay.
Coming in with relevant domain expertise or a strong technical background shifts your starting salary upward.
Prior industry experience in the target sector: A former healthcare administrator moving into healthcare analytics, or a finance analyst adding SQL and moving into financial data roles, often comes in $5,000 to $15,000 above someone with no domain context. Hiring managers pay for relevance. If you understand the data you're analyzing because you've worked in the industry, that's worth real money at the offer stage.
Advanced degree in a quantitative field: A master's in statistics, applied math, economics, or a related field typically adds $5,000 to $10,000 to starting salary at companies with formal degree-based salary bands. It matters more at large enterprises than at smaller companies, which care more about demonstrated skills.
Strong portfolio projects: Harder to quantify but real. A candidate who can walk through 3 well-built projects in an interview tends to convert higher offers because they reduce the hiring risk. The portfolio doesn't show up as a line item in a salary band, but it affects whether you get to the offer stage and how strong the offer is.
SQL depth and BI tool proficiency: Same logic. A candidate who handles a technical screen well reduces the employer's uncertainty about the hire. Uncertainty is discounted in salary.
I broke into data analytics without a relevant degree. What mattered at the offer stage wasn't the credential -- it was the ability to walk through the work I'd built. That's what moved the conversation from "let's see if you can do this" to "we want you."
Certifications. The Google Data Analytics Certificate, the PL-300, the Tableau Desktop Specialist -- these signal preparation but don't add meaningful salary premium on their own. They're table stakes in some markets, invisible in others. No hiring manager is adding $5,000 to an offer because of a Coursera certificate.
Years of overall work experience in an unrelated field. 10 years as a retail manager doesn't add leverage when negotiating an entry-level analyst salary. The pay band is anchored to the analyst role level, not total career tenure. Domain expertise helps (as noted above), but generic seniority in a different field doesn't.
The fact that you need more money. Personal financial need has no bearing on what a company will offer. Salary is priced on market rate and your leverage in the negotiation, not on your expenses. This sounds obvious but a lot of first-time negotiators make this mistake.
First offers are almost always negotiable, including entry-level analyst offers. Most candidates don't negotiate. That's money left on the table.
A few things that work:
If you want a full structure for the job search, offer evaluation, and negotiation process, the Analyst Hive program covers salary negotiation alongside the rest of the job search in detail.
The starting number matters less than the trajectory, and how pay grows after the first job is where most of the lifetime earnings actually come from.
What is the average entry-level data analyst salary?
The median entry-level data analyst salary in the U.S. is approximately $62,000 to $65,000. The range is roughly $52,000 on the low end (nonprofit and government roles in lower cost-of-living markets) to $95,000 on the high end (tech company roles in major metros). Most first roles land between $58,000 and $75,000 depending on industry, location, and company size.
Do entry-level data analyst salaries vary by industry?
Significantly. Tech and finance pay the most -- $75,000 to $100,000 for strong entry-level roles in major markets. Healthcare, retail, and insurance are in the $55,000 to $75,000 range. Nonprofit and government anchor the bottom at $45,000 to $65,000. Industry is the single biggest variable after geography in determining where your first salary lands.
Does a data analytics degree increase starting salary?
At large enterprises with formal degree-based salary bands, a master's in a quantitative field typically adds $5,000 to $10,000. At smaller companies and startups, demonstrated skills and portfolio work matter more than degree level. A self-taught analyst with strong projects and a clean technical screen often gets the same offer as someone with a master's degree at companies that don't pay by credential.
Is $50,000 a good salary for an entry-level data analyst?
It depends on location and industry. In a low cost-of-living market like the Midwest, Southeast, or smaller cities, $50,000 to $55,000 is a reasonable entry-level salary and reflects the local market rate. In San Francisco or New York, the same salary would be significantly below market. Government and nonprofit roles often anchor in this range regardless of location, and some people accept the trade-off for the stability or mission.
How much can a data analyst salary grow after the first role?
Quickly, relative to most fields. A strong first analyst role typically leads to $75,000 to $95,000 within 2 to 3 years, and $90,000 to $120,000 for senior analyst roles with 4 to 6 years of experience. Data engineering and analytics engineering paths push higher still. The ceiling on the data career path is high -- the entry-level salary is just the starting point.
Should I negotiate my first data analyst offer?
Yes, always. The downside of a professional counter is effectively zero -- a company is not going to rescind an offer because you asked for $5,000 more. Research the market rate, come in with a specific counter number, and ask. Most entry-level candidates don't negotiate. That means the ones who do often pick up $3,000 to $8,000 in additional compensation for a 2-minute conversation.
If you're building toward your first analyst role and want a clear structure for the full process -- skills, projects, job search, and offer negotiation -- analysthive.io covers it all in a day-by-day format.
