$123k - $163k
~ Proficient in T-SQL, relational databases, and foundational data modeling principles ~ Ability to write SQL queries that aggregate... ..., and quality Provide peer support and review for fellow analysts, particularly o…
Engineering & IT · St. Louis, MO
Data Analyst jobs in St. Louis, MO
Data analysts answer business questions with data — writing SQL, building dashboards, and turning metrics into clear recommendations for teams that need to make a call.
176
Open roles today
$25–$60/hr
Typical pay range
$85k
Median, full-time
9
Fresh in this list
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01
Open data analyst roles
12 shown of 176 · sorted by freshness
$55k - $65k
Position: Portals Engagement and Data Specialist Employment Type: Full Time Location: Falls Church, VA. (Remote within the Continental US but strong preference will be given to applicants located in the Washington, DC me…
$60k - $90k
testing tools such as Postman to validate service integrations and data exchanges Track defects and work with development teams to... ...Salesforce More: We are seeking a Senior Salesforce QA Analyst to support our clien…
$100k - $140k
analysis related to national security using imagery, geospatial data, and multi-INT sources to uncover trends, events, and relationships... ...eager to welcome a dedicated and customer-focused Senior GEOINT Analyst to ou…
Business Analyst - CPG Product and Pricing Location: St. Louis, MO Contract: 12 Months Schedule: Monday–Thursday Onsite | Friday... ...We are seeking a Business Analyst – Product & Pricing to join a Data & Analytics Prod…
provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Job Title: IT Data Engineer Location: St Louis, MO, 63146 Duration: 12 Months Job Type: Temporary Assignment…
Client Requirements Testing Responsibilities Functional testing Regression testing Production validation Migration testing coordination Create and maintain test scripts BSA Responsibilities Backlog management Develop acc…
DescriptionAt HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas t…
$180k - $208k
: ~7+ years of experience in designing and building intricate data processing pipelines and streaming solutions. ~ Familiarity with... ...with software developers, data engineers, database architects, analysts, and data…
committed to delivering exceptional value to consumers through innovative pet products. We are currently seeking a Business Analyst to join our Data & Analytics Product Management team. Position Overview: As a Business A…
$55.4k - $113k
this simple story. The opportunity As an FSO Technology Analyst, you’ll be based in our Service Delivery Center, which is made up... ..., while building trust in capital markets. Enabled by data, AI and advanced technolo…
We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial... ...aligned with organizational goals. Collaborate closely with Data Analysts, Data E…
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What data analysts earn in St. Louis
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $25–$36 | $51k–$74k |
| Mid level | $36–$47 | $74k–$97k |
| Senior | $44–$60 | $92k–$124k |
Adjusted for the St. Louis market from national ranges.
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What employers ask for
The skills these listings keep naming
SQLExcel / Google SheetsTableau, Power BI, or LookerBasic statisticsPython or R (a plus)Data cleaningDashboard designPresenting findings clearlyBusiness domain knowledge
04
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
A metric dropped 15% week over week. How do you investigate?
Segment first — by platform, region, source — and check for data issues before assuming a real change. A methodical decomposition is exactly what they want.
Walk me through a dashboard or report you built that people actually used.
Focus on the decision it supported and how you designed for the audience. Adoption is the success metric, not chart count.
How comfortable are you with SQL? Describe a complex query you wrote.
Mention joins, window functions, or CTEs in the context of a real question. Expect a live exercise, so pick an example you can reconstruct.
A stakeholder wants data that supports a conclusion they already hold. What do you do?
Show that you present what the data says, frame caveats respectfully, and stay useful without becoming a rubber stamp.
How do you check whether your analysis is correct before sharing it?
Talk about sanity checks against known totals, replicating with a second method, and having someone review the logic. Self-QA habits separate reliable analysts.
Correlation versus causation — give a business example where it matters.
Use a concrete case, like ice cream and sunburn or a marketing example, and mention what would move you toward causal confidence, such as an experiment.
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Resume tips that move the needle
For data analysts specifically — generic advice costs you here
01
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
02
List SQL first and honestly grade your level; it is the single most tested skill for this role.
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Name the BI tools you have shipped dashboards in, and how many people relied on them.
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Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
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A small portfolio of public analyses with clear write-ups can offset limited job experience.
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Where this role goes
Typical progression
01
Junior Data Analyst
02
Data Analyst
03
Senior Data Analyst
04
Analytics Manager
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