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Full Time Python Data Analysis Jobs in Philadelphia, PA

RIT Solutions, Inc.

Data Analytical Engineer

Malvern, PA · On-site

$112K - $134K/yr

... applications (Python, Pyspark). • Expert with SQL development and Tableau Reporting. • ... analysis guidance as required. • Provides tool and data support to business users and fellow team ...

Chubb

Senior Data Scientist

Philadelphia, PA

... data analysis, model development and solution design. o Significant programming experience in Python. o Significant programming experience in SQL. o Working knowledge/familiarity with Git version ...

USLI

Data Analyst

Wayne, PA · On-site

Accounting FT/PT Status: Full Time About Us: At USLI, we're not just about insurance - we are ... Data analysis : Collect, extract and analyze data from multiple systems to support accounting ...

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 ...

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Full Time Python Data Analysis information

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$87

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

As of Jul 14, 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.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analysis roles.

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.

Is 40 too late for data science?

Full Time Python Data Analysis roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help you enter the field regardless of age, and continuous education or certifications can improve your prospects.

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 is a Full Time Python Data Analysis job?

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.
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
Data Analytical Engineer

Data Analytical Engineer

RIT Solutions, Inc.

Malvern, PA • On-site

$112K - $134K/yr

Full-time

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

Job description

Job Summary:
RIT Solutions, Inc. is seeking a Senior Data Analytical Engineer to write ETL processes, design database systems, and develop tools for real-time and offline analytic processing. The role involves troubleshooting software, integrating data from various sources, and ensuring data consistency and integrity.
Responsibilities:
• Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources for business partners to generate insight and make decisions.
• Experience building AWS cloud architecture and supporting services and technologies (Eg: ECS, Glue, S3, Glue Crawler, Redshift, Step Functions, Foundational Services like IAM, Cloud Watch, Cloud formation, Lambda, Secrets Manager, Sagemaker).
Qualifications:
Required:
• Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
• Troubleshoots software and processes for data consistency and integrity.
• Integrates data from a variety of sources for business partners to generate insight and make decisions.
• Experience building AWS cloud architecture and supporting services and technologies (Eg: ECS, Glue, S3, Glue Crawler, Redshift, Step Functions, Foundational Services like IAM, Cloud Watch, Cloud formation, Lambda, Secrets Manager, Sagemaker).
• Translates business specifications into design specifications and code.
• Responsible for writing programs, ad hoc queries, and reports.
• Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
• Partners with internal clients to gain a basic understanding of business functions and informational needs.
• Gains working knowledge in tools, technologies, and applications/databases in specific business areas and company-wide systems.
• Participates in all phases of solution development.
• Explains technical considerations at related meetings, including those with business clients.
• Expert building Spark data processing applications (Python, Pyspark).
• Expert with SQL development and Tableau Reporting.
• Experience with test automation and test-driven development practices.
• Experience with CI/CD pipeline tools like Github.
• Tests code thoroughly for accuracy of intended purpose.
• Reviews end product with the client to ensure adequate understanding.
• Provides data analysis guidance as required.
• Provides tool and data support to business users and fellow team members.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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