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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 ...

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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 ...

Spherix Global Insights

Data Analyst

Exton, PA · On-site

- Data Analyst The primary role of the Data Analyst at Spherix Global Insights is to manage the ... Python, SAS, R, or SQL. * Working knowledge and experience using Microsoft Power Point

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA · On-site

Automate and streamline recurring data analysis and reporting workflows using SQL, Python, and other programming tools to improve efficiency and reduce manual effort. * Collaborate with leadership to ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

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.

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 ...

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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 31, 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.

Python Data Controls Developer

Lorven Technologies

Mount Laurel, NJ • On-site

$48.75 - $66.75/hr

Full-time

Re-posted 29 days ago

Job description

Python Data Controls Developer
Mount Laurel, NJ (3 days onsite role)
Fulltime/Contract
Client Expectation
• Technical developer focused on data quality & controls
• Less AML-heavy, more engineering-focused
Key Responsibilities
• Build data validation and control frameworks
• Ensure data completeness, accuracy, integrity
• Implement controls across pipeline stages
Mandatory Skills
• Advanced PL/SQL
• Strong Python
• Experience building data quality / control frameworks
Nice to Have
• Exposure to AML data (not mandatory)
Explicitly NOT Looking For
• Functional analysts
• ETL developers only
Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

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