$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.
266
Open roles today
$25–$60/hr
Typical pay range
$85k
Median, full-time
7
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01
Open data analyst roles
11 shown of 266 · sorted by freshness
$85k
: Job Title: Market Analyst Pay: Starting at $85,000 (based on experience). Why consider a career at Mississippi Lime? Highly collaborative... ...you will have the ability to independently analyze qualitative data, ident…
$68.45k - $95.42k
Senior Analyst, Data Action Location: Remote Department: Supply Chain Management Schedule: Full time, Days Salary: $68,450.00 – $95,416.00 per year Resource Group associates filling remote roles are expected to be availa…
$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…
Job Description Job Description Data Annotation Quality Control Analyst About Enabled Intelligence, Inc. Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help o…
Kforce's client is seeking an EHR Implementation & Data Migration Test Analyst in Saint Louis, MO to support a healthcare organization's transition from one Electronic Health Record (EHR) and Practice Management (PM) pla…
security. Make an impact by using your expertise to protect our country from threats. Job Description We are seeking a Data Science Analyst/ Engineer to join our Program working with the Data Engineering Team responsible…
Summary Spire is seeking to fill a Data Engineer II position. This role is a primary contributor and designer of the overall Spire data warehouse, data ETL processes and analytics data model and architecture. This role i…
Let’s talk about how you can find your place here at Stifel, where success meets success . What You'll Be Doing The Data Analyst will work as a member of Stifel's Analyst team within the Digital Solutions group. The Data…
Job Description Job Description Job Title: Junior Data Analyst (0–2 Years) Location: Remote (United States) Employment Type: Full-Time (W2) or Independent Contractor (1099) Experience: 0–2 Years Salary: $50,000 per year…
Job Description Job Description iQuasar is seeking to fill a Data Engineer in St. Louis, MO . Position: Data Engineer Location... ...for data architectures and processes Work closely with data analysts, cloud engineers,…
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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
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Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
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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
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Data Analyst
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Senior Data Analyst
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Analytics Manager
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