critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your wor…
Engineering & IT · Columbus, OH
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.
415
Open roles today
$25–$62/hr
Typical pay range
$88k
Median, full-time
8
Fresh in this list
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01
Open data analyst roles
12 shown of 415 · sorted by freshness
$98.18k - $115.5k
customers that is indicative of potential illicit activity. The candidate will receive direction from their manager and other senior analysts, while also working independently on their designated subject matter.Key respo…
$95.5k - $177.5k
Datamart is responsible for leading test planning, test execution, and data validation activities that support delivery of high-quality data... ...solutions. This role partners closely with developers, analysts, and busi…
$136.6k - $184.8k
delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equip…
borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization. The Director, Data Management & AI Readiness is responsible for defining and leading the strategy, o…
$100k - $168k
in the STEM OPT extension program.#LI-SS1Job Description SummaryNationwide’s industry leading workforce is passionate about creating data and business intelligence solutions that are secure, reliable, accessible, and eff…
Engineer, we'll count on you to:Lead the Electrical team and collaborate with multidisciplinary project teams throughout all phases of data center and other industrial projects to develop and deliver high-quality enginee…
$76k - $143k
Candidates must be based within a commutable distance to Columbus, Ohio. Data Dynamos provides the operational backbone for Nationwide’s data... ...depend on trusted data, metadata, and lineage services.The Sr. Analyst,…
Job Summary We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to support business decision-making. The ideal candidate will have strong analytical skills and experience working with da…
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…
Seeking a Data Center Engineer to deploy, maintain, and support enterprise data center infrastructure. The ideal candidate will have experience with structured cabling, hardware installation, network infrastructure, trou…
" - 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…
02
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.
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.
05
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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