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Weekend Python Data Analyst Jobs in Pennsylvania

Experience with SQL, Power BI, and Python is strongly preferred. Key Responsibilities * Partner ... Perform analysis of historical data to identify trends, patterns, risks, performance issues, and ...

SQL, Power BI, and Python** is strongly preferred. ## Key Responsibilities * Partner with internal business stakeholders to understand business goals, reporting needs, questions, and analytics ...

Experience with SQL, Power BI, and Python is strongly preferred. Key Responsibilities * Partner ... Perform analysis of historical data to identify trends, patterns, risks, performance issues, and ...

Job Title: Data Analyst Location: Malvern, PA * Engage with internal partners to understand ... Coding knowledge in SQL, Python, or the equivalent (SAS, R) * Data visualization using Tableau ...

Data Analyst Location: Pittsburgh, PA Onsite position Fulltime Position *****NO C2C**** JD * Data ... Familiarity with languages like Python or R. * Data Cleaning and Preparation: Skills in data ...

We are looking for a Data Scientist who can leverage advanced analytics, machine learning, and ... Strong proficiency in Python and SQL. * Experience with Machine Learning frameworks such as Scikit ...

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 ...

Familiarity with using Python for data analysis (or equivalent language). * A strong sense of ownership * A team player * Strong verbal and written communication skills Additional Information ...

Familiarity with using Python for data analysis (or equivalent language). * A strong sense of ownership * A team player * Strong verbal and written communication skills Additional Information ...

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.

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 ...

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Weekend Python Data Analyst information

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst, and why are they important?

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in Pennsylvania? The most popular types of Python Data Analyst jobs in Pennsylvania are:
Lead Python Developer, Data Analytics

Lead Python Developer, Data Analytics

CVS Health

Blue Bell, PA • On-site, Remote

$67K - $199K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,250 frontline employees who took The Breakroom Quiz

77th of 99 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

Aetna's Reporting Solutions team is looking for an initiative-taking Lead Python Developer with 3+ years of experience in software engineering with Python in a professional environment to join our Reporting Solutions team.

This Lead Python Developer role is a part of the Aetna Commercial's Sales Enablement department that partners with business leaders and key stakeholders to optimize the achievement of strategic business objectives.

In this exciting new role, the candidate will be accountable for designing, developing new Python code for new analytics capabilities and content.

The work environment supports and thrives on out-of-the box thinking, creative talent, and a consultative approach.

Specifically, this role will be responsible for developing and delivering new capabilities to support health care analytics and reporting, benefits evaluations, and operational decision making by Aetna internal and external constituents. This work requires technical, analytic, and consultative skills.

**The position may be remote or hybrid anywhere in the US depending on candidate location and commute to a hub location

Key Responsibilities

Leverage Python to develop new reporting and analytics using healthcare data (medical, pharmacy, lab)

Create business applications to deliver clinical or analytic solutions to constituents in a self-service fashion using Plotly Dash Enterprise.

Drive forward enterprise modernization opportunities leveraging Python and cloud-native technologies.

Refactor legacy programming code to improve turn-around-times and to take advantage of modern technologies.

Communicate with key stakeholders in a way that is easy to understand and actionable.

Define and deliver new technical capabilities in support of healthcare business initiatives that drive short- and long-term objectives.

Work to expand, scale, and automate the analyses available to the broader team and the Aetna field.

Ability to mentor and knowledge share with peers.

Monitor and maintain applications and production processes required to deliver on business commitments.

Use analytics and technology to solve business needs as well as to demonstrate to customers the value of Aetna's integration with CVS Health.

Required Qualifications

3+ years of experience with a Python Data Engineering Stack in a professional environment.

3+ Experience with SQL query development, working in a data warehouse environment as well as the ability to work with large data sets from multiple data sources.

Proficient in usage of the following Python libraries: Polars, NumPy, Pandas.

Proficient with: XML, JSON, YAML.

Experience with AI prompting to assist with development with tools like Copilot and, Claude.

Proficient in the use of CI/CD pipelinesand Git integration.

Preferred Qualifications

5+ years in a technical analytics/reporting role, with 3+ years of experience focusing on Python, SQL in a professional environment.

Experience with callback architecture, including client-side callbacks, pattern-matching callbacks, and callback optimization techniques for complex multi-page applications.

Experience with Redis for application caching, session management, and real-time data storage.

Experience with PostgreSQL including complex query optimization, indexing strategies, and database performance tuning.

Expertise Celery for distributed task queue management and background job processing, including task routing, retry logic, error handling, and monitoring.

Expertise inXlsxWriterfor generating complex Excel reports with multiple worksheets, charts, conditional formatting, and data validation.

Experience with front end development, e.g., REACT, HTML, CSS.

Experience with cloud computing providers (GCP, Azure, AWS)

Experience with specialized Python data management libraries, e.g., with DBT.

Experience migrating on-premises capabilities and analytical workflows to the cloud, leveraging cloud-native technologies to improve efficiency and effectiveness, e.g., with Google Cloud Platform.

Excellent English communication and presentation skills, ensuring clear and concise communication with our team members and fostering a smooth and effective collaboration process.

A strong ability to encourage teamwork and actively support the team's objectives is essential.

Education

Bachelor's degree preferred/specialized training/relevant professional qualification.

Pay Range

The typical pay range for this role is:

$67,900.00 - $199,144.00


This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 06/22/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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