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Engineering & IT · Pittsburgh, PA
Data Analyst jobs in Pittsburgh, PA
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.
332
Open roles today
$25–$63/hr
Typical pay range
$90k
Median, full-time
5
Fresh in this list
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01
Open data analyst roles
12 shown of 332 · sorted by freshness
As Data Analyst, USCA Transportation, you are responsible for supporting transportation and logistics operations through data analysis, performance measurement, reporting, and business intelligence initiatives. You serve…
$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…
journey. As we modernize our operations and unlock the power of data across our business, we are seeking a skilled and driven Data Engineer... ...data services, and collaborate closely with data scientists, analysts, and…
$100k - $120k
We are looking for a seasoned Technical Business Analyst with strong business analysis and stakeholder management capabilities to act as the bridge between business teams and data engineering organizations.Work Location:…
label quality and impact on performance, and continuously deliver data that allows for the continuous iteration and improvement of our... ...another car in the distance. We are looking for a driven analyst to contribute…
This map, collected onboard our vehicles and processed by the Data Services Operations team, must meet intense quality standards achieved... ...We are seeking a highly skilled and motivated Data Services Analyst to join…
Impact Drive supplier performance and operational excellence across Thermo Fisher Scientific’s strategic supplier portfolio. Through data- driven performance management, supplier partnerships, root-cause problem solving,…
Data Ideology At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business... ...For more information about Data Ideology, visit Data Analyst– Contract We are looking…
Bizowie is seeking a full-time, Technical Business Analyst to expand the operations team working on our Bizowie Cloud ERP™ platform. Bizowie is a growing, Pittsburgh-based provider of cloud-based Enterprise Resource Plan…
We are seeking a Data Warehousing Systems Analyst II to support enterprise data warehouse solutions, data analysis, system integrations, and business applications. The role will work closely with technical and business s…
Lead Business Systems Analyst - Data & Payments - Local to Dallas or Pittsburgh Position Description This role can be filled from the client site 5 days a week in one of the following locations: Dallas TX, or Pittsburgh…
02
What data analysts earn in Pittsburgh
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $25–$38 | $53k–$78k |
| Mid level | $38–$49 | $78k–$102k |
| Senior | $47–$63 | $97k–$131k |
Adjusted for the Pittsburgh 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.
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Resume tips that move the needle
For data analysts specifically — generic advice costs you here
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Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
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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.
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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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