A technology consulting company is seeking an Online Data Analyst specializing in Punjabi and English. This part-time position requires enhancing digital map content and conducting online research. No previous experience…
Data Analyst jobs in Cincinnati, 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 digital services company is seeking an Online Data Analyst Spanish Speakers to work remotely. This part-time role involves improving digital maps used globally, conducting research, and ensuring data accuracy.…
Vaco is hiring a Business Analyst for a highly respected and established organization located in downtown Cincinnati, OH. This role... ...business documents Map document variables and fields to incoming data sources Cond…
Job Description Job Description For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies,…
Job Description Job Description CPN Legal is seeking a detail-oriented Reporting & Data Solutions Analyst to join our growing team supporting law firms with financial and operational reporting services. This role focuses…
are key contributors to UC’s success. Job Overview Enrollment Management's Student Financial Aid is seeking a Data Reporting Analyst to transform complex student and financial aid data into meaningful insights that drive…
Job Description Job Description Salary: Turning data into action for one of the world's largest retailers. At Retail Insight... ...and actionable insight. We're looking for a Lead Insight Analyst to work directly alongsi…
Job Description Job Description Safety Data Analyst supports data-driven safety analysis and improvements by identifying relationships and trends in data; uses techniques to display results of analyses; reviews data for…
Job Title: In-Stock Data & Analytics Analyst Location: Cincinnati, OH (Onsite) Duration: 6–12 Month Contract | Monday – Friday, 8am – 5pm We are seeking an In-Stock Data & Analytics Analyst to support Sourcing and Invent…
Greetings, We’re looking for a senior-level Data Engineer with expertise in DBT, Snowflake, and SQL to design and deliver scalable data solutions in a high-impact banking environment. Data Architect / Principal Data Engi…
Job Description Job Description Description: On Site in Cincinnati, Ohio Our client seeks a Data Engineer/Architect III to assess and optimize Cloudera NiFi implementations, strengthen ETL and ELT pipelines, and enable r…
authorization in the U.S. and is not eligible for visa sponsorship or transfer, now or in the future. General Function The Financial Data Analyst will conduct and coordinate research, predictive modeling and/or analytics…
What data analysts earn in Cincinnati
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $25–$36 | $51k–$74k |
| Mid level | $36–$47 | $74k–$98k |
| Senior | $45–$61 | $93k–$126k |
Adjusted for the Cincinnati 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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