$102.3k - $209.5k
roles may require compliance with applicable health, immunization, or drug testing requirements. Responsibilities: We identify data requirements and project goals with cross-functional teams. We design and build data pip…
Engineering & IT · Cleveland, OH
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.
126
Open roles today
$25–$60/hr
Typical pay range
$85k
Median, full-time
11
Fresh in this list
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01
Open data analyst roles
12 shown of 126 · sorted by freshness
$71.3k - $140.6k
clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As a PROJECT - Data Engineer II on the AI & Data team, you will be responsible for… Designing, de…
$131.02k - $222.74k
Job ID: 44318Reference: 300016305780415Location: Wakefield, MA, United States | Boston, MA, United States | Braintree, MA, United States | Clifton Park, NY, United States | Manchester, CT, United States | Middletown, CT,…
$69.6k - $106.13k
and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world. As a Research Data Scientist, you will utilize statistical, mathematical and predictive modeling techni…
contribute to the company’s success. As a ALM- Associate Balance Sheet Analyst within PNC's Finance organization, you will be based in... ...products. This will include ensuring proper capture of balance sheet data, unde…
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…
DescriptionAt HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas t…
$94k - $175k
Location:4910 Tiedeman Road, Brooklyn OhioABOUT THE JOB (JOB BRIEF)Under manager’s supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. L…
further to learn how you could help make great things possible not only in your community, but around the world.HDR is looking for a Data Center Project Manager to join our Building Engineering Services team in Ohio/Penn…
and making recommendations for mitigation as needed throughout the lifecycle of trenchless projects (planning through construction). Data management, quality control of design and construction data, planning, and risk ma…
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…
$100k - $110k
the opportunity. Job Details:- Role:- Reporting Analyst - Google Cloud Salary Range-$100,000-$110,000 a year... ...design, implementation, maintenance and lifecycle of the Finance Data Product that enables secure, reliab…
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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.
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.
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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.
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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