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Engineering & IT · Louisville, KY
Data Analyst jobs in Louisville, KY
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.
117
Open roles today
$24–$59/hr
Typical pay range
$84k
Median, full-time
10
Fresh in this list
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01
Open data analyst roles
12 shown of 117 · sorted by freshness
We are looking for a Desktop Support Analyst to deliver hands-on technical assistance at a manufacturing site in Louisville, Kentucky. This contract opportunity with potential for a permanent role is ideal for someone wh…
of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Middle Office Services Analyst within PNC's Private Banking organization, you will be based in Pittsburgh PA or…
Our CompanyBrightSpring Health ServicesOverviewThe Human Resources Information Systems Analyst is responsible for supporting operational data needs in our HR applications including ADP Enterprise, Cornerstone, iCIMS and…
ResponsibilitiesThe Manager, Data, CRM & Analytics is responsible for the general management and integrity of the Foundation's fundraising donor database, online giving, and related fundraising technology. This position…
ResponsibilitiesThe Senior Clinical Applications Systems Analyst Epic independently defines system objectives, requirements, scope, and impact based on needs of clinical operations. Develops or modifies clinical informat…
ResponsibilitiesThe Clinical App Systems Analyst Epic-Spec serves as a subject matter expert for the supported clinical application technology system and demonstrates understanding of the complex functional and technical…
Job-ID27380861Reference26-03163Lead Data Scientist - Autonomous Goal ManagementJob Description SummaryThe Enterprise AI organization at client is a pioneering force, driving AI innovation across our Insurance and CenterW…
both locally and nationallyTake responsibility for proposal and report writing, development of soil and groundwater sampling plans, data analysis, project management as well as client managementPlan and develop projects…
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…
Legacy Data Engineer Ab Initio / Netezza Location: Remote Job Type: Contract Job Overview We are seeking a Legacy Data Engineer with strong experience in ETL development and legacy data technologies. The ideal candidate…
We are seeking an experienced Learning & Development Business Analyst to support a large-scale Learning Management System (LMS) transformation... ..., track defects, and support issue resolution. Assist with data validat…
02
What data analysts earn in Louisville
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $24–$35 | $50k–$73k |
| Mid level | $35–$46 | $73k–$96k |
| Senior | $44–$59 | $91k–$123k |
Adjusted for the Louisville market from national ranges.
03
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.
03
Name the BI tools you have shipped dashboards in, and how many people relied on them.
04
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
05
A small portfolio of public analyses with clear write-ups can offset limited job experience.
06
Where this role goes
Typical progression
01
Junior Data Analyst
02
Data Analyst
03
Senior Data Analyst
04
Analytics Manager
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