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Python Data Analyst Jobs in Philadelphia, PA (NOW HIRING)

SLK America Inc.

Data analyst

Wilmington, DE · On-site

Familiarity with Python, R, or data automation tools. * Experience working in an Agile/Scrum environment. Technical Skills Must Have * SQL * Data Analysis & Data Profiling * Reference Data Management ...

ResolveSoft Inc

Be Seen First

Data Analyst

Philadelphia, PA · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Philadelphia, PA Position Summary The Data Analyst supports the ... Excel, Python, R, and preferably Smartsheet, * 1+ years of experience with SQL, GIS, Data ...

Avancer Corporation

Data Analyst

Malvern, PA · On-site

Data Analyst Duration: 12+ months Location: Onsite in Malvern, PA Responsibilities: * Minimum of ... Advanced Python experience for analysis, modeling, and automation (e.g., pandas, NumPy, stats/ML ...

ParetoHealth

Data Analyst

Philadelphia, PA · Remote

Experience using Python for analysis and data wrangling * Experience in data cleaning, validation, and exploratory analysis using large, complex datasets * Understanding of analytical methods ...

NAVA Software Solutions

Data Analyst

Malvern, PA · On-site

Data Analyst Engineer Location: Malvern, PA - Hybrid Duration: 6 -12 months Two Round Interview ... SQL Development experience (and/or Python development) (SAS or R could also be helpful) * Tableau ...

CapTech Consulting

Data Analyst

Philadelphia, PA · On-site

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

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Vangard, Inc.

Data Analyst, Specialist

Malvern, PA · On-site

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA · On-site

Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development. * Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Philadelphia, PA

Python Data Analyst information

See Philadelphia, PA salary details

$34.3K

$83.4K

$137.2K

How much do python data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for python data analyst in Philadelphia, PA is $83,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 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.

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.

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.

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.
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For Python Data Analyst jobs in Philadelphia, PA, the most frequently searched job titles are:

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The top searched job categories for Python Data Analyst jobs in Philadelphia, PA are:

Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $83,391 per year, or $40.1 per hour.

Data analyst

SLK America Inc.

Wilmington, DE • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Job Title: Data Analyst (Reference Data Management - RDM)

Location: Wilmington, DE (Onsite)
Employment Type: Full-Time

Position Summary

We are seeking a highly analytical and detail-oriented Data Analyst with Reference Data Management (RDM) experience to join our team in Wilmington, DE. The ideal candidate will have strong expertise in data analysis, data quality, governance, and reference/master data management within financial services, banking, insurance, or large enterprise environments. The role will focus on ensuring the accuracy, consistency, and integrity of enterprise reference data while supporting business stakeholders through insightful analysis and reporting.

Key Responsibilities
  • Analyze, validate, and maintain reference data across multiple business applications and enterprise platforms.
  • Perform data profiling, cleansing, reconciliation, and quality assessments.
  • Partner with business users and data stewards to define and implement data quality rules.
  • Monitor data quality metrics and proactively identify data discrepancies.
  • Support Reference Data Management (RDM) initiatives, governance frameworks, and data lineage activities.
  • Develop and maintain SQL queries, reports, dashboards, and analytical models.
  • Conduct root cause analysis for data issues and recommend corrective actions.
  • Collaborate with technology teams during data migrations, system implementations, and data integration projects.
  • Document business requirements, data mappings, data definitions, and process workflows.
  • Support regulatory reporting, audit requests, and compliance initiatives.
  • Participate in Agile ceremonies and contribute to sprint planning, backlog refinement, and stakeholder discussions.
  • Assist in establishing best practices around data governance, metadata management, and data stewardship.
Required Qualifications
  • Bachelor''s degree in Computer Science, Information Systems, Statistics, Finance, Mathematics, or related field.
  • 4+ years of experience as a Data Analyst, Business Data Analyst, or Data Management Analyst.
  • 2+ years of hands-on experience with Reference Data Management (RDM) or Master Data Management (MDM).
  • Strong SQL querying and data analysis skills.
  • Experience working with large datasets from multiple source systems.
  • Strong understanding of data governance, data quality, and data lifecycle management.
  • Experience with data mapping, reconciliation, and data lineage documentation.
  • Excellent problem-solving and analytical skills.
  • Strong stakeholder management and communication abilities.
Preferred Qualifications
  • Financial Services, Banking, Capital Markets, Insurance, or Wealth Management domain experience.
  • Experience with RDM/MDM tools such as:
    • Informatica MDM
    • GoldenSource
    • Alveo
    • Markit EDM
    • Reltio
    • Collibra
    • Ataccama
  • Experience with BI tools such as Power BI, Tableau, or Qlik.
  • Knowledge of ETL processes and data warehousing concepts.
  • Familiarity with Python, R, or data automation tools.
  • Experience working in an Agile/Scrum environment.
Technical Skills

Must Have

  • SQL
  • Data Analysis & Data Profiling
  • Reference Data Management (RDM)
  • Data Quality & Data Governance
  • Excel (Advanced)
  • Data Mapping & Reconciliation

Nice to Have

  • Power BI / Tableau
  • Python
  • Snowflake
  • Azure/AWS Data Services
  • Collibra / Informatica MDM
  • ETL Tools
Key Competencies
  • Analytical Thinking
  • Attention to Detail
  • Data Governance Mindset
  • Stakeholder Management
  • Problem Solving
  • Process Improvement
  • Effective Communication
  • Team Collaboration
Compensation & Benefits
  • Competitive Base Salary
  • Annual Bonus Eligibility
  • Medical, Dental, Vision Insurance
  • 401(k) with Company Match
  • Paid Time Off & Holidays
  • Career Growth Opportunities
  • Learning & Development Programs

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