our people. If you want to be part of tomorrow’s health today, we want to hear from you. Position Summary The ProviderPay Data Analyst will be responsible for analyzing complex healthcare provider payment data to identif…
Data Analyst jobs in Columbus, OH
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.
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Open data analyst roles
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A leading technology solutions provider is seeking an Online Data Analyst for a freelance part-time role. The position allows you to enhance digital maps, validate data, and work from home at your own pace. Candidates mu…
Job Description:- Our client is seeking a Business Data Analyst to evaluate and integrate alternative investment data across enterprise systems, focusing on data lineage analysis, gap identification, and requirements def…
Full-time Medical Billing Data Analyst to support accurate charge capture, detailed data entry, claim reconciliation and compliance with payer and federal guidelines. This role requires strong analytical skills, attentio…
Job Description Job Description Description: Job Summary: This Data Analyst is responsible for collecting, cleaning, analyzing, and transforming complex clinical, financial, and operational datasets into actionable insig…
#464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Job Title Lead Data Engineer (Senior Programmer/ Analyst) Location Columbus, OH (Onsite) Job Summary STAFFXPERT LLC is seeking a…
" - those who want to work with us for 30+ years (not just a 9-5 job). Main Requirements: Collect, analyze, and interpret data from multiple sources to identify trends and opportunities Conduct in-depth analysis of both…
Business Data Analyst - Contract - Wilmington, DE Join a team where your analytical expertise will transform data into strategic insights across clinical and development operations. Proclinical is seeking a Business Data…
Job Description Job Description LHH is partnering with a growing organization in the Columbus, OH area to identify a Senior Data Analyst for a direct hire opportunity. This role is ideal for a highly analytical professio…
Centers and training locations in the United States, Canada, France and the United Kingdom. Purpose of Position The Lead Data Quality Analyst is a strategic role responsible for driving enterprise-wide data quality initi…
Job Responsibilities: Manage and optimize SAP Material Master data, ensuring accurate integration with manufacturing, purchasing, and production planning. Execute material processes for data maintenance in SAP, including…
Description Join Winaxis LLC as a Data Analyst and play a crucial role in analyzing and interpreting complex data sets to drive key business decisions. As a Data Analyst at Winaxis LLC, you will be responsible for extrac…
What data analysts earn in Columbus
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $25–$37 | $52k–$76k |
| Mid level | $37–$48 | $76k–$100k |
| Senior | $46–$62 | $95k–$128k |
Adjusted for the Columbus market from national ranges.
What employers ask for
The skills these listings keep naming
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.
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
List SQL first and honestly grade your level; it is the single most tested skill for this role.
Name the BI tools you have shipped dashboards in, and how many people relied on them.
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
A small portfolio of public analyses with clear write-ups can offset limited job experience.
Where this role goes
Typical progression
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