200+ Data & Analytics Jobs in Philadelphia, PA

Observed local wage data is solid for data scientists: BLS and ONET show a median of $109,910, with a 25th percentile of $83,010 and a 75th percentile of $152,700, and the BLS metro release separately puts the median at about $107,000 as of May 2025. Proxy data is higher for active postings: sampled local salary ranges center on about $108k to $159k, one on-site Senior Data Scientist I posting showed $95,300-$158,800, and a telework-eligible federal data scientist role including Philadelphia showed $117,284-$158,322.

Full August 2026 market report

Advertised pay

Across the 105 openings that disclose pay, the advertised range midpoint runs $86,000 at the 25th percentile, $130,000 at the median and $173,625 at the 75th. These are advertised ranges, not earned pay.

Active openings as of September 25, 2026

Senior roles | Entry level | Remote | Posted this week

Live from the Callings.ai index of over 13 million postings, refreshed hourly and re-checked here nightly. Roles that close are dropped at the next refresh.

Showing 30 of 218 openings.

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What our analysts see this month

Competitive market | next 3-6 months

Philadelphia is a workable but competitive Data, Analytics & AI market over the next 3-6 months: metro unemployment was 4.2% in July 2026 and metro employment was up 2.1534% year over year, but only about 15% of sampled category postings were entry-level. Pay is strong - BLS places local data scientist median pay at about $107,000 to $109,910, and sampled posted salary ranges center on about $108k to $159k. The catch is fit and format: about 50% of sampled roles are on-site, about 35% hybrid, and demand is concentrated in healthcare, insurance, consulting, and finance rather than a broad remote-first market.

Best positioned: Candidates with 3-7 years of experience in healthcare, insurance, consulting, or finance - plus Python, SQL, dashboarding, and some machine-learning or LangChain exposure - have the best odds right now.

Main caution: The biggest mistake is chasing remote-only "data scientist" titles; only about 15% of sampled roles are remote and entry-level roles are also only about 15% of the mix.

From the August 2026 market report

Who is hiring here

Counted across all 218 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Vanguard Group: 11 open roles
2. Johnson & Johnson Co.: 7 open roles
3. Deloitte: 6 open roles
4. Johnson & Johnson: 6 open roles
5. TD Bank Group: 6 open roles
6. Comcast Corp.: 5 open roles
7. Elsevier: 5 open roles
8. Penn Medicine: 4 open roles
9. Peraton: 4 open roles
10. Vanguard: 4 open roles

Where the openings are

• Philadelphia: 86
• Malvern: 17
• Fort Washington: 14
• Wilmington: 13
• Mount Laurel: 11
• Spring House: 7
• Horsham: 6
• Conshohocken: 5

Work arrangement

on-site 114 (54%), hybrid 84 (40%), remote 13 (6%)

Where the demand is

Real demand is concentrated less in consumer-tech startups and more in large institutions. In the local posting sample, healthcare accounts for about 30% of demand, insurance about 20%, and accounting, management consulting, financial services, software development, and investment and asset management each sit around 10% bands. Named employers with recurring activity include Kpmg Us, Old Republic Commercial Risk, Vanguard Group, Deloitte, Chop, Agoda, Matricstek Inc, and RXinsider LTD., and the employer mix is fragmented rather than dominated by one company. That fragmentation helps if you are willing to search by function and industry instead of waiting for a single marquee employer. The strongest local pockets look like healthcare enterprise analytics, insurer risk and operations analytics, consulting and transformation work, and higher-end applied AI inside biotech and finance; one Philadelphia-area biotech search specifically called for machine learning, generative AI, and agentic AI in commercial operations. This is also not a remote-first market. Work is about 50% on-site and 35% hybrid, so people who can commute to Center City, University City, the suburbs, or South Jersey will have materially more options than remote-only applicants.

• Healthcare and provider analytics (high): Healthcare is about 30% of sampled local demand, making it the clearest volume pocket for analytics, BI, and data-adjacent AI work.
• Insurance and risk analytics (high): Insurance represents about 20% of observed demand, which favors candidates with claims, underwriting, fraud, pricing, or operations context.
• Consulting and accounting transformation (moderate): Accounting and management consulting sit in a meaningful local demand band, and employers such as Kpmg Us and Deloitte show recurring activity in the sample.
• Finance and biotech applied AI (moderate): Financial services and investment or asset management each appear in about 10% bands, while local biotech signals show interest in machine learning, generative AI, and agentic AI for commercial use cases.

Where to focus: Focus first on healthcare, insurance, and consulting employers that want business-facing analytics plus Python and SQL; add biotech or finance AI roles only if you already have credible ML depth.

Roles worth searching next

• Business Analyst / Operations Analyst: It uses the same stakeholder translation, SQL, and dashboard habits that local employers ask for, without requiring you to win a pure data scientist search.
• Financial Analyst / FP&A Analyst: This is a good pivot for candidates with finance or accounting context, especially because local demand includes financial services and investment or asset management pockets.
• Health Information / Clinical Informatics Analyst: Healthcare is about 30% of sampled demand, and RHIA is the main niche credential that shows up locally, making hospital data work a pragmatic bridge for people who like regulated data more than generic AI branding.
• Data Governance / AI Compliance Analyst: As AI compliance becomes more about data quality, provenance, and control, governance work is becoming a realistic adjacent path for data professionals who prefer controls to modeling.
• Market Research Analyst: This occupation sits in the marketing track rather than this category, but it suits candidates who are stronger in survey design, insight storytelling, and stakeholder communication than in advanced modeling.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 60% of sampled postings and remains a core 2026 data skill nationally. Who: Everyone in this category, especially entry-level and career-switcher candidates.
• SQL (table_stakes | immediate): SQL shows up in about 45% of sampled postings and is still one of the two most durable baseline skills in data work. Who: Everyone, with special emphasis on analysts and BI-oriented candidates.
• Power BI and data visualization (differentiator | immediate): Power BI and data visualization each appear in about 20% of sampled postings, which makes them one of the fastest ways to turn technical skill into business-facing proof. Who: Entry-level candidates and switchers who need a visible portfolio quickly.
• Machine learning (premium | near-term): Machine learning appears in about 25% of sampled postings, local biotech demand is explicitly asking for it, and BLS continues to place data scientists among the fastest-growing AI-related occupations nationally. Who: Mid-career and senior candidates aiming for data scientist, decision scientist, or advanced analytics roles.
• LangChain, RAG, and agent frameworks (premium | near-term): LangChain appears in about 15% of sampled local postings, and national 2026 skill guidance points to Retrieval-Augmented Generation and agent frameworks as emerging must-haves for data professionals. Who: Candidates targeting AI-heavy roles or trying to stand out from conventional analyst profiles.
• Business translation, stakeholder communication, and model validation (differentiator | immediate): As AI automates more extraction, reporting, and pipeline work, the higher-value human skills are business context translation, stakeholder communication, and validation of outputs. Who: Especially important for analysts, switchers, and anyone whose technical stack is still developing.

Questions about this market

What do Data, Analytics & AI roles pay in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD?

Observed local wage data is solid for data scientists: BLS and ONET show a median of $109,910, with a 25th percentile of $83,010 and a 75th percentile of $152,700, and the BLS metro release separately puts the median at about $107,000 as of May 2025. Proxy data is higher for active postings: sampled local salary ranges center on about $108k to $159k, one on-site Senior Data Scientist I posting showed $95,300-$158,800, and a telework-eligible federal data scientist role including Philadelphia showed $117,284-$158,322. This is a good-paying market by regional standards: computer and mathematical occupations in the metro generally earn above the overall regional median wage, and Pennsylvania's mean offered salary for new Data, Analytics & AI openings was about $110,517 versus about $73,288 across all occupations.

Where is demand for Data, Analytics & AI roles in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD concentrated?

Real demand is concentrated less in consumer-tech startups and more in large institutions. In the local posting sample, healthcare accounts for about 30% of demand, insurance about 20%, and accounting, management consulting, financial services, software development, and investment and asset management each sit around 10% bands. Named employers with recurring activity include Kpmg Us, Old Republic Commercial Risk, Vanguard Group, Deloitte, Chop, Agoda, Matricstek Inc, and RXinsider LTD., and the employer mix is fragmented rather than dominated by one company. That fragmentation helps if you are willing to search by function and industry instead of waiting for a single marquee employer. The strongest local pockets look like healthcare enterprise analytics, insurer risk and operations analytics, consulting and transformation work, and higher-end applied AI inside biotech and finance; one Philadelphia-area biotech search specifically called for machine learning, generative AI, and agentic AI in commercial operations. This is also not a remote-first market. Work is about 50% on-site and 35% hybrid, so people who can commute to Center City, University City, the suburbs, or South Jersey will have materially more options than remote-only applicants.

Which employers are hiring the most Data, Analytics & AI talent in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD?

Recent postings show the most activity from Kpmg Us (5 postings), Old Republic Commercial Risk (5 postings), Vanguard Group (5 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD be done remotely?

Of recent postings, 15% are remote and 35% hybrid, with 50% on-site. Use the Remote filter above to see only remote openings.

How current are these listings?

Openings come from the Callings.ai live index of over 13 million jobs, refreshed hourly. This page searches postings from the last 30 days; run the search yourself to filter by anything else in plain language.

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