for demand planning, including baseline forecasting, demand sensing, and consensus planning. Drive the evolution toward advanced, data- driven demand planning capabilities. Develop and maintain global standards for stati…
Data Analyst jobs in Cleveland, 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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Midwestern IT! We offer online training and placement opportunities through direct marketing, and we are currently hiring for Data Analyst and Business Analyst roles. Job Title: Business Analyst / Data Analyst Job Type:…
Help Shape a More Connected, Sustainable Northeast Ohio — Join NOACA as a Transportation Planner III – Data Visualization and Report Specialist The Northeast Ohio Areawide Coordinating Agency (NOACA) is where forward-thi…
Job Description Job Description Data & Evaluation Manager Department Programming Job Status Full-Time Reports To Senior Director of Advancement Job Type Regular Positions Supervised PT Data Coordinator FLSA Status Exempt…
you’ll be empowered to make a real impact - on your career, your community, and the world around you. Job Title: Data Loss and Prevention Analyst Location: Wickliffe, OH or Deer Park, TX Job Type: Full-time; Hybrid: 4 da…
Position Summary: The Microsoft Dynamics 365 Business Analyst reports to the IT director and is responsible for serving as the functional... ...“out ‑ of ‑ the ‑ box” Dynamics 365 capabilities. Support data migration, ma…
Basis , security and functional teams. Proficient in performance tuning and optimization of ABAP programs. Solid understanding of data structures, algorithms, and object-oriented programming principles. Strong analytical…
create pledge sites, schedule emails, monitor campaigns from start to finish. Ensure functionality and accuracy of the systems and data collected. Participate in system development and create efficiencies. Duties and Res…
Tittle: Sr Business Systems Analyst Location: PA - Pittsburgh, OH – Cleveland (Locals Only) Work Mode : Onsite 5 days a week... ...function is to analyze science, engineering, business and all other data processing probl…
Job Description Job Description WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk... ...exciting to you, let's chat! We are looking for a Data Science Analyst who can not…
Job Description Job Description WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is h…
Oracle Senior Business Systems Analyst (Oracle EBS, Order to Cash, Oracle OSB, SQL, PL-SQL) in Cleveland, OH Clear Orbit, Manufacturing Industry, Oracle Business Systems Analyst, Oracle EBS, Oracle OSB, Order to Cash, PL…
What data analysts earn in Cleveland
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $25–$36 | $51k–$74k |
| Mid level | $36–$47 | $74k–$97k |
| Senior | $44–$60 | $92k–$124k |
Adjusted for the Cleveland 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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