Technical Project Analyst Hybrid in Philadelphia, PA (4x/week) Contract through 12/31/26 with extensions likely We are seeking a Technical Project Analyst to support a fast-paced technology program focused on product rel…
Engineering & IT · Philadelphia, PA
Data Analyst jobs in Philadelphia, 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.
295
Open roles today
$28–$70/hr
Typical pay range
$100k
Median, full-time
9
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01
Open data analyst roles
12 shown of 295 · 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…
$110k
assets and the return on the city’s technology investments; ensuring data security continuity; planning for continuing operations in the... ...Job Description The core responsibilities of this Data Analyst role involve t…
$122k - $145k
Job Title: Salesforce - Business Analyst You are an experienced Salesforce Business Analyst with a passion for solving complex business... ...business workflows to assist in stakeholder alignment* Capture data, reporting…
SQL - Application Development Analyst IV (Contract)Contract - Potential for Extension or ConversionLocation: Philadelphia, PA (Remote EST... ...platform used by thousands of business users. This role blends data engineer…
Data Security Analyst IILocation: Onsite in Philadelphia, PADuration: Through 12/31/2026, extensions likelyWe are looking for a Data Security Specialist II to support enterprise data protection efforts in Philadelphia, P…
We are looking for an IT Business Analyst to support cross-functional initiatives in Fort Washington, Pennsylvania. This Long-term Contract... ...solution requirements.• Use SQL and reporting tools to analyze data, valid…
$206k - $335k
Grant Thornton is seeking a Sr. Director, Head of Data & Analytics to join the team. Approved office locations can be found below.The Sr. Director, Head of Data & Analytics is responsible for leading the firm's enterpris…
Duties:Job Summary:Demonstrates basic knowledge of Tier 1 service level support as relates to addressing Hardware (PCor End-User Devices & peripheral equipment), and application software, and operating system issues.Demo…
We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and data ingestion processes using modern Big Data technologies. The ideal candidate will have strong experience in data aggr…
Independence Blue Cross (IBX) is looking for a Senior Research Analyst in a unique role that combines healthcare policy and outcomes with... ...Big Query) or R needed for pulling, exploring, and transforming data from a…
Government Markets is seeking a Data Insight & Reporting Analyst to join the Government Markets Reporting Team. This role is responsible for data analysis and the development of reporting used by the Stars team and Gover…
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What data analysts earn in Philadelphia
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $28–$41 | $59k–$86k |
| Mid level | $41–$54 | $86k–$113k |
| Senior | $52–$70 | $108k–$146k |
Adjusted for the Philadelphia 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
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.
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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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