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Python Data Analyst Jobs in Pennsylvania (NOW HIRING)

ParetoHealth

Lead Data Analyst

Philadelphia, PA · On-site +1

Working knowledge of Python for analysis and data wrangling (advanced modeling not required) * Deep, hands-on experience working with administrative healthcare data (medical and pharmacy claims)

ParetoHealth

Lead Data Analyst

Philadelphia, PA · Remote

Working knowledge of Python for analysis and data wrangling (advanced modeling not required) * Deep, hands-on experience working with administrative healthcare data (medical and pharmacy claims)

Clark Associates

Financial Data Analyst

Lititz, PA · On-site +1

$65K - $75K/yr

Job Summary Clark Associates is seeking a driven and detail-oriented Financial Data Analyst to join ... Proficiency in Python, Power Automate, and Excel VBA (nice to have) * Experience leveraging AI ...

DHL

Business Data Analyst I

Mechanicsburg, PA · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

DPDHL

Business Data Analyst I

Mechanicsburg, PA · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Robert Half

Sales Pricing Data Analyst

York, PA · On-site

$75K - $90K/yr

We are looking for a Sales Pricing Data Analyst to strengthen commercial decision-making through ... Hands-on experience with analytics and visualization tools such as Python, Power BI, Tableau, or ...

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Advanced Python experience for analysis, modeling, and automation (e.g., pandas, NumPy, stats/ML libraries). * Proven data science skillset, including: * Driver and root-cause analysis * Time-series ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA · On-site

Advanced Python experience for analysis, modeling, and automation (e.g., pandas, NumPy, stats/ML libraries). * Proven data science skillset, including: * Driver and rootcause analysis * Timeseries ...

Tata Consultancy Service Limited

Analyst

Pittsburgh, PA · On-site

$100K - $110K/yr

Experience with data visualization tools (Power BI, Tableau). * Basic programming knowledge (Python or R). * Strong analytical and problem-solving abilities. * Good communication and presentation ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Pennsylvania

Python Data Analyst information

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$34.1K

$82.8K

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How much do python data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for python data analyst in Pennsylvania is $82,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,200.00 per year, depending on experience, location, and employer.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python data analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What are 10 careers related to Python Data Analyst?

Careers related to a Python Data Analyst include Data Scientist, Business Intelligence Analyst, Data Engineer, Data Architect, Quantitative Analyst, Machine Learning Engineer, Data Consultant, Data Operations Manager, Data Warehouse Developer, and Research Analyst. These roles often require skills in programming, data visualization, and statistical analysis, and may involve working with tools like SQL, Tableau, or cloud platforms.

What is the salary of a Python Data Analyst?

The salary of a Python Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and statistical analysis tend to earn higher salaries, especially in tech hubs or large organizations.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Pennsylvania? The most popular types of Python Data Analyst jobs in Pennsylvania are:
What are popular job titles related to Python Data Analyst jobs in Pennsylvania? For Python Data Analyst jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Pennsylvania look for? The top searched job categories for Python Data Analyst jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Python Data Analyst jobs? Cities in Pennsylvania with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,839 per year, or $39.8 per hour.

Lead Data Analyst

ParetoHealth

Philadelphia, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

About ParetoHealth
ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model.
Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs.
By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people.
Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another.
If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you.
Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future.
About The Team
At ParetoHealth, the Analytics team sits at the intersection of healthcare data, business strategy, and decision-making. We work with rich medical, pharmacy, stoploss, and business datasets to generate insights that directly influence product strategy, client outcomes, underwriting, and internal operations. The team partners closely with a varied set of stakeholders to move from questions to action, promoting data-driven decision making across the organization. We do this within a team culture of collaboration, shared responsibility, mutual respect, and growth.
Position Summary:
This role is designed for a senior, analytically sophisticated individual contributor who feels most at home in the space between data science and traditional BI analytics.
As a Lead Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems. You will lead analyses end-to-end, framing questions, wrangling and validating data, designing sound analytical approaches, and translating results into clear, actionable insights.
This role is not focused on building predictive models or machine learning systems for production, and it does not include people management responsibilities. Success in this role comes from analytic rigor, business judgment, and the ability to turn complex data into decisions. You will report to the VP of Analytics.
Key Responsibilities:
  • Lead End-to-End Analyses
    • Partner with stakeholders to understand business priorities and translate them into analytical approaches
    • Design, test, and refine appropriate methodologies for complex analytical questions
    • Work directly with large, messy healthcare datasets, including medical and pharmacy claims
    • Build and maintain robust SQL queries and analytical datasets
  • Deliver Decision-Ready Insights
    • Develop clear visualizations and summaries that communicate findings to technical and non-technical audiences
    • Translate complex analyses into actionable recommendations
    • Document methodologies, assumptions, and limitations to ensure transparency and repeatability
  • Collaborate Within the Team
    • Work closely with Data Scientists to support exploratory analyses, hypothesis generation, and interpretation of results
    • Partner with Analytics teammates to align definitions, methodologies, and data quality standards
    • Contribute through collaboration and shared problem-solving
  • Drive Business Impact
    • Proactively identify opportunities where analytics can improve business outcomes
    • Support teams across the organization, including underwriting, product, account management, and cost containment

What We're Looking For:
  • A problem-solver with a natural sense of curiosity, analytic rigor, and a deep interest in understanding complex healthcare data
  • A collaborator with proven ability to work cross-functionally across many different stakeholders to create and deliver insights
  • A strong communicator who effectively shares information at the appropriate level across a wide variety of audiences
  • A self-starter with a demonstrated track record of owning projects from idea to execution
  • A critical thinker with demonstrated ability to be creative, strategic, and to apply strong business judgement
  • A translator who can turn complex analysis into actionable insights and recommendations for the business

Core Qualifications:
  • 8-10+ years' experience in a healthcare-based analytics role, preferably in the health benefits space/insurance industry
  • Working knowledge of Python for analysis and data wrangling (advanced modeling not required)
  • Deep, hands-on experience working with administrative healthcare data (medical and pharmacy claims)
  • Strong mathematical and statistical foundation, including comfort with quantitative reasoning, distributions, rates, and variability as applied to real-world healthcare data
  • Expert-level SQL skills, including building, optimizing, and validating complex analytical queries
  • Advanced proficiency in data visualization tools such as Tableau
  • Extensive experience in data cleaning, validation, and exploratory analysis using large, complex datasets
  • Strong understanding of analytical methods, including descriptive statistics, cohort analysis, risk assessment, trend analysis, and causal thinking
  • Strong analytic judgment: knowing which method to use, why, and when
  • Master's degree in a quantitative/analytic field (or equivalent work experience)

Bonus Qualifications:
  • Experience working with data from CRM systems, e.g., Salesforce
  • Familiarity with underwriting and actuarial risk assessments for healthcare insurance coverage
  • Familiarity with AWS Serverless Services and data tools, such as S3, Lambda, Glue, Sagemaker and EMR

Perks & Benefits:
  • Fully paid medical, dental, and vision benefits.
  • Flexible PTO
  • 401k company contribution
  • Tuition reimbursement
  • Professional development allowance
  • Transportation allowance and daily parking reimbursement
  • Engaging hybrid work environment

We are guided by our values:
Fire in the belly
The drive to learn, to improve, and to deliver outstanding value every day.
See the field
The ability to see the big picture and prepare to meet tomorrow's needs.
Get it done right
The passion to produce at higher rates and to the highest standards.
For the greater good
A united community creating better health benefit solutions for all.
Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with an @paretohealth.com address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information.
We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with an @paretohealth.com email address.
Disclosures:
ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients.
California Applicants: See Pareto's CCPA Notice of Collection for California Employees and Applicants for information about how Pareto Captive Services, LLC, Pareto Health, LLC, and Pareto Underwriting Partners, LLC, together with their respective subsidiaries (collectively, "Pareto") collects and uses personal information submitted by employment applicants.

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