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Full Time Python Data Analysis Jobs in Philadelphia, PA

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.

CapTech Consulting

Data Analyst

Philadelphia, PA · On-site

Conduct data quality analysis and provide recommendations for effective quality assurance processes ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

New

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 ...

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Full Time Python Data Analysis information

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$13

$59

$87

How much do full time python data analysis jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for full time python data analysis in Philadelphia, PA is $59.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 per hour, depending on experience, location, and employer.

What is a full time python data analyst?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

What are some common challenges faced by full time python data analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

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

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Python Data Analysis jobs in Philadelphia, PA?

The most popular types of Python Data Analysis jobs in Philadelphia, PA are:

Full Time Python Data Analysis jobs near you
Infographic showing various Full Time Python Data Analysis job openings in Philadelphia, PA as of June 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $123,040 per year, or $59.2 per hour.

Data Analyst, Specialist

Vangard, Inc.

Malvern, PA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Summary

The Data Analyst, Specialist is responsible for leveraging data-driven insights to support strategic business decisions and improve operational efficiency. This role involves structuring complex business requests into well-defined analytical projects, extracting and analyzing large datasets from multiple sources and developing automated reporting solutions to enhance data accessibility and decision-making.

Core Responsibilities

  • Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads projects through completion. Delegates tasks and provides tactical and strategic guidance to peers.

  • Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness.

  • Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts.

  • Prepares and delivers visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.

  • Develops, owns and manages recurring analytic or reporting processes.

  • Mentors, coaches, trains, and develops junior data analysts. Proactively expands knowledge of business and analytics and shares with team members. Shares and documents best practices.

  • Participates in special projects and performs other duties as assigned.


Qualifications

  • Minimum 5 years of relevant work experience, with at least 3 years in advanced data analysis, statistical modeling or business intelligence.

  • Bachelor's degree (B.E./B.Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics.

  • Strong proficiency in SQL for querying, data extraction and performance optimization.

  • 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.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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