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

Envestnet

Data Analyst II

Berwyn, PA · Hybrid

Familiarity with, or the desire to learn Python for data analysis * Experience manipulating and analyzing large and complex data sets * Understanding of data quality (DQ) concepts and a familiarity ...

Envestnet

Data Analyst II

Berwyn, PA · Hybrid

Familiarity with, or the desire to learn Python for data analysis * Experience manipulating and analyzing large and complex data sets * Understanding of data quality (DQ) concepts and a familiarity ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

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 ...

Envestnet

Data Analyst II

Berwyn, PA · Hybrid

Familiarity with, or the desire to learn Python for data analysis * Experience manipulating and analyzing large and complex data sets * Understanding of data quality (DQ) concepts and a familiarity ...

Chubb

Senior Data Analyst

Philadelphia, PA · On-site

$86K - $109K/yr

SQL, Python, R). * Strong data analysis skills, with the ability to synthesize data, identify and highlight trends, assess business impacts, and make recommendations for improvement. * Excellent ...

Jobcertify

Senior Data Analyst

Philadelphia, PA · On-site +1

$86K - $109K/yr

The Data & Analytics team consists of data analysts, data engineers and analytics engineers working ... Experience with R or Python for creating data models or data manipulation * The ability to make ...

New

Suvoda

Senior Data Analyst

Conshohocken, PA

$84K - $106K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business ... SQL (preferred), dbt, DAX, Python or equivalent. * Experience with Snowflake or an equivalent cloud ...

Suvoda

Senior Data Analyst

Conshohocken, PA · On-site

$84K - $106K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business ... SQL (preferred), dbt, DAX, Python or equivalent. * Experience with Snowflake or an equivalent cloud ...

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Our work includes data preparation and transformation, discovery analysis, experimental design ... Proficiency in SQL, Tableau, Python, PySpark and cloud platforms like AWS and Snowflake.

ParetoHealth

Lead Data Analyst

Philadelphia, PA · Remote

Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required) * Experience working with data from CRM systems, e.g., Salesforce * Familiarity with underwriting and ...

The Hartford

Investment Data Analyst

Wayne, PA

$70K - $90K/yr

Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS. Compensation The listed annualized base pay range is primarily based on analysis of ...

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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 Jul 11, 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.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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 a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
More about Python Data Analyst jobs
What are popular job titles related to Python Data Analyst jobs in Philadelphia, PA? For Python Data Analyst jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Philadelphia, PA look for? 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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 75% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $83,391 per year, or $40.1 per hour.
Data Analyst II

Data Analyst II

Envestnet

Berwyn, PA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

Envestnet is seeking a Data Analyst II to join our Product department. This is a hybrid role, with in-office work required at our Berwyn, PA office location.

Envestnet is transforming the way financial advice is delivered through its connected technology, advanced insights, and asset management solutions – backed by industry-leading service and support. Since 1999, Envestnet has served the wealth management industry and today supports trillions in platform assets, serving over a hundred thousand financial advisors. The vast majority of the nation’s leading banks, the largest wealth management and brokerage firms, and over 500 of the largest RIAs rely on Envestnet’s wealth management platform and solutions to drive business growth, boost productivity, and deliver better financial outcomes for their clients. 

Envestnet’s Strategy:

  • Deliver the industry-leading wealth management platform, powered by advanced data and insights 
  • Leverage our scale and efficiencies to serve our clients’ needs comprehensively 
  • Enable financial advisors to deliver more holistic advice – reflecting a more complete view of their clients’ financial lives, and in a more connected environment

For more information, please visit www.envestnet.com.

Job Summary: 

Envestnet is looking for a Data Analyst II to work our Product Team to achieve strategic objectives around data quality and enrichment. As a Data Analyst II, you will support the development of data-driven, analytical solutions related to our platform and perform effective evaluation of output quality against business targets.

Job Responsibilities:

  • Partner with stakeholders (Product, Data Science, Sales, Professional Services, and Client Services) in the delivery of analytics that will strengthen our data products and reduce client support requests.
  • Collaborate with Product Management, Data Science, and Engineering teams to define, scope, and develop new features & functionality geared towards the platform.
  • Perform Data Analysis, Joins, Aggregations and Sub Queries. 
  • Monitor platform performance and calculate accuracy metrics.
  • Provide clear, insightful interpretation of available internal and external data.
  • Use data to create models that depicts trends.
  • Perform data quality and accessibility testing and verification of data sets.
  • Interact with external clients on a weekly basis by providing timely and professional updates.
  • Adherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy within the role and department(s) including the timely completion of training & awareness, affirmations and testing as requested. 
  • As part of the responsibilities for this role, you will understand and readily support Envestnet's established corporate business practices, policies, internal controls and procedures designed to create value or minimize risk.

Required Qualifications: 

  • 3+ Years of experience in Data Analysis and/or Data Science
  • Strong SQL skills
  • Familiarity with DBT is a plus
  • Familiarity with, or the desire to learn Python for data analysis
  • Experience manipulating and analyzing large and complex data sets
  • Understanding of data quality (DQ) concepts and a familiarity with DQ tools/methods
  • Passion for working with data & a strong attention to detail
  • The ability to identify trends and patterns of information
  • An understanding of general landscape for data science and opportunities within AI

Envestnet: 

  • Be a member of an innovative and industry leading financial technology and solutions company 
  • Competitive Compensation/Total Reward Packages that include:
    • Health Benefits (Health/Dental/Vision)
    • Paid Time Off (PTO) & Volunteer Time Off (VTO)
    • 401K – Company Match
    • Annual Bonus Incentives
    • Parental Stipend 
    • Tuition Reimbursement
    • Student Debt Program
    • Charitable Match 
    • Wellness Program

Envestnet is an Equal Opportunity Employer.

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