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Marketing analytics salary: place a role by level and stack
Place a marketing analytics role on the pay map in four steps: level band, city tier, the tools in the posting and the workload, then check BLS data.
What to take away
- No official wage category isolates every marketing analytics title.
- Place a role in four stepslevel, city tier, technical stack, and workload.
- Typical U.S. base ranges run from about $60,000 for junior analysts to $190,000 for directors, before bonus or equity.
- Match duties and seniority before using a quantitative occupation as a salary proxy.
- Published ranges are typical figures, not official ones, so keep the source and date beside each.
Step one: find the level
A marketing analytics salary depends on whether the role focuses on channel reporting, digital measurement, lifecycle analysis, experimentation, modeling, attribution, BI, or analytics engineering. Federal labor data does not isolate marketing analytics, so use several official categories carefully and match the actual work. Start from the level, then adjust.
Glassdoor, Payscale, Salary.com, and Robert Half salary guides publish marketing analytics ranges. Typical U.S. base pay sits in these bands.
Typical U.S. base range
| Level | Typical U.S. base range |
|---|---|
| Analyst | $60,000 to $85,000 |
| Senior analyst | $85,000 to $115,000 |
| Manager | $110,000 to $145,000 |
| Director | $140,000 to $190,000 |
| Head of analytics or VP | Typically above $200,000 |
These are typical published ranges, not official figures. Bonus and equity sit on top of base.
Step two: adjust for the city
San Francisco, New York, Seattle, Boston, and Los Angeles usually pay above the national median. Typical base ranges there are about $95,000 to $160,000 for senior analysts and managers. Austin, Chicago, Atlanta, Dallas, and Denver often post $75,000 to $135,000.
Smaller markets can sit 10% to 25% below those figures. Remote roles tied to high-cost metros may keep the higher band. Exclude postings that merely share a title, and use BLS state and area resources to check the location field.
BLS also publishes a state median for the market research analyst and marketing specialist category. California usually sits above the national median and Texas close to it. The table shows how four states typically sit against the national median.
| State | Typical position against the national median |
|---|---|
| California | 10% to 20% above |
| Massachusetts | 5% to 15% above |
| Texas | At or within 5% of the median |
| Florida | 5% to 15% below |
These are typical posted base ranges for mid-level analysts, not official state medians. Read the BLS state tables for the exact figure, which changes with each May release.
Step three: read the stack in the posting
The tools a posting names show which kind of analyst it wants. Read the stack before you read the title.
Production SQL, dbt, Snowflake, Databricks, and Looker appear in higher-paying postings. Tableau, Power BI, and Google Analytics 4 show up in reporting roles. Adobe Analytics, Marketo, and HubSpot appear in campaign and lifecycle roles.
Then match the technical scope:
- Recurring reports versus open-ended decision analysis
- Event implementation and data-quality ownership
- Experiment design, causal inference, or advanced modeling
- Industry, data sensitivity, and required domain expertise
- Management, consulting, or executive communication duties
Step four: price the workload behind the title
Clarify who owns broken tracking, failed data loads, dashboard access, month-end reporting, and urgent executive requests. A role may appear analytical but include substantial platform administration or on-call production work.
Platform administration, tagging through Google Tag Manager, and on-call data pipelines can add $5,000 to $15,000 to a base range.
If an employer adds data engineering, advanced modeling, several business units, or team leadership during interviews, revisit the title and range. Also confirm whether the analyst will mentor staff, manage vendors, or own a reporting service-level agreement.
A worked placement, with the published bands
Take a posting for a senior analyst in Austin. The level band is $85,000 to $115,000, and Austin is among the cities that often post $75,000 to $135,000.
If the stack names production SQL and dbt, the role points to the higher end of that band. If it names only Tableau and recurring reports, it points to the lower end. Platform administration or on-call pipelines then add to either result.
Check the placement against official data
O*NET's national wage page for operations research analysts reports 2025 annual wages of $57,060 at the 10th percentile, $88,940 at the median, and $159,910 at the 90th percentile. Use that category only for roles with comparable quantitative problem definition, validation, modeling, and recommendation duties.
Operations Research Analyst Wages 2025
- $57,06010th percentile
- $88,940Median
- $159,91090th percentile
The March 2026 BLS table for civilian-worker compensation separates wages from employer costs: paid leave, supplemental pay, insurance, retirement, and legally required benefits. It does not price a marketing analytics offer, but base salary and benefits belong in different comparison columns.
A broad occupation benchmark provides context only when the duties match. Record the occupation definition, year, percentile, geography, and important exclusions. Never present one national number as a promised salary for every role sharing a title.
BLS OES data for market research analysts and marketing specialists put the May 2024 median near $77,000. The middle half of that group typically earns roughly $59,000 to $106,000. The Occupational Outlook Handbook gives a median annual wage of $78,760 for market research analysts in May 2025.
That category covers survey, campaign, and market research work, not every SQL, experimentation, or attribution role. For marketing analytics, compare BLS OES categories for market research analysts, data scientists, business intelligence analysts, statisticians, and management analysts. Each has its own median, percentile spread, and state map.
Add bonus and equity last
Typical target bonus percentages rise with level. Analysts see about 5% to 10% of base, senior analysts 10% to 15%, managers 15% to 20%, and directors 20% to 30%. These are typical market targets, not guarantees.
Equity usually vests over four years with a one-year cliff. A grant valued at $40,000 would put one quarter, or $10,000, at the first anniversary, with the rest vesting monthly after that.
Options in a private company carry no market value until a sale, so record the strike price and the last valuation. Track health coverage, leave, and education support in their own fields, and see salary negotiation timing before you answer an offer.
Put a source and a date on every figure
A pay figure earns a place in a comparison only when you can name who published it, what year it covers, and which duties it describes. Compare neighbouring pay in digital marketing salary and SEO salary benchmarks with the same discipline.
An undated aggregate with no stated sample is not evidence. A transparent comparison based on duties beats an undated salary aggregator or the highest number on a broad analytics label.
Common questions
What is a typical marketing analytics salary?
There is no single official figure for the title. Base pay by level is listed earlier on this page. Location, production load, and bonus terms change the package.
Can I use data scientist pay as a benchmark?
Only when the role has comparable modeling, validation, programming, and decision responsibility. A title alone is not enough.
How should I compare two offers?
Compare base pay, bonus rules, equity terms, benefits, and leave. Then compare schedule, location, support, and production load. Add growth and risk in separate fields.
