manage, and optimize information and business processes. IT Services spans a wide range of activities, including software development, data management, Cloud services, IT security, technical support, access governance, i…
Engineering & IT · Cincinnati, OH
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.
174
Open roles today
$25–$61/hr
Typical pay range
$86k
Median, full-time
7
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01
Open data analyst roles
11 shown of 174 · sorted by freshness
About the opportunitySWCA Environmental Consultants is seeking an Associate Project Archaeologist to support our Midwest operations, with our principal office being in Cincinnati, OH. This role is a core member of our Cu…
more about Accenture's SAP practice.You Are:You have a passion for storytelling and for originating, selling and delivering SAP-based Data Management and Analytics Transformation projects that make a positive impact in y…
$80.46k - $142.72k
deliver more impact together.Role description:As an Electrical Engineer you will lead the electrical discipline of multiple concurrent data center projects through pursuit, proposal, design, and construction phases. You…
# Internal Technical Screen (30 min) # Client Interview (60-90 min) About the Role Smart Data Systems is seeking an experienced EMIT BA/QA Analyst to support a client's enterprise migration of sites from LDAP to Active D…
$105.4k - $124k
guidance that promotes sound risk management. The individual in this role will support program initiatives and activities by using data, reporting, and other information to identify observations and trends and communicat…
Accenture's SAP Analytics practice, you will be a member of a delivery teams and focus on client engagements centered on SAP's modern data and analytics platform — including SAP Datasphere, SAP Analytics Cloud (SAC), and…
Job Title: Data Engineer IV Location: Cincinnati, OH - onsite Payrate $70/hr on W2. USC and GC Holder candidates only. TOP SKILLS: Must Have Python SQL Nice To Have AWS Sagemaker DBT Snowflake What You'll Do Squad: Machi…
$187.2k - $197.6k
in SQL, Python, and Power BI. We are looking for hands-on experience building solutions in Microsoft Fabric or similar enterprise data engineering platforms. We require proven experience with ETL/ELT pipeline development…
$60k - $70k
Marketing Analyst - A/E/C Marketing & Proposals Location: Fully remote opportunity for the right candidate (must reside in the U.S.). Otherwise, hybrid office locations include: Hebron, KY / Cincinnati, OH; Nashville, TN…
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…
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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.
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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.
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.
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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
02
Data Analyst
03
Senior Data Analyst
04
Analytics Manager
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