Title: Oracle Global Data Warehouse Analyst Location: Pittsburgh, Pennsylvania - CANDIDATES MUST LIVE IN THE GREATER PITTSBURGH, PA AREA. Job Description: Client has an immediate opening for an Oracle Data Warehouse Anal…
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.
370
Open roles today
$25–$63/hr
Typical pay range
$90k
Median, full-time
2
Fresh in this list
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01
Open data analyst roles
11 shown of 370 · sorted by freshness
Position Title: Data Engineer Location: PA – Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week Duration : Contract... ...the solution. • Collaborate with Finance Product owners and analysts to gather requi…
Role Overview We are seeking an experienced Business Systems Analyst (BSA) with a strong background in the Energy & Utilities industry to support a major Esri Utility data migration project. This individual will serve as…
Data Analyst Duration: Contract to Hire Location: Canton, MA Work Mode: Hybrid Position Overview System One is seeking an experienced Data Analyst to support complex data, analytics, and information management initiative…
PA (Hybrid) Classification: Exempt Status: Full-Time Reports to: Manager, Reporting and Analytics Purpose The Data Analyst III designs and develops analytical and reporting solutions that support business decision-making…
$77.04k
Pittsburgh, PA 2 Years All Advisory Business Analyst with the following duties Analyze and evaluate business processes across... ...technical teams to support system enhancements, integrations, and data exchange using da…
Role Overview We are seeking a motivated Data Governance Analyst to join our team. This role is ideal for someone with a strong academic foundation, 4–6 years of hands-on experience in data governance or data management,…
Inc, one of the world’s most trusted providers of best-of-breed data quality and compliance solutions is expanding the Software Support... ...24/7 coverage and is looking for a talented Software Support Analyst to be par…
Acutronic is looking for a Senior Mechanical Engineer Structural Analyst to develop and optimize structural models for components and... ...prototype testing and validate simulation results against real-world data Implem…
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advertisers, and publishers and deliver real value to all our stakeholders. We are seeking a highly skilled Client Success Data Analyst to join our team. The ideal candidate brings several years of experience analyzing t…
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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.
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.
03
Name the BI tools you have shipped dashboards in, and how many people relied on them.
04
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
05
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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