1

Weekend Python Data Analyst Jobs in Pennsylvania

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

Performs analyses of historical data to surface trends and insights using advanced analytical ... Strong SQL and Python skills with experience analyzing large-scale structured and behavioral ...

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 ...

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 ...

next page

Showing results 1-20

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:
Senior Data Analyst

Senior Data Analyst

Suvoda

Conshohocken, PA • On-site

$84K - $106K/yr

Other

Posted 3 days ago


Job description

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business questions across the organization. 

Working closely with the Senior Manager, Data Analytics, this role serves as a senior business partner to leaders across the company - owning analytics engagements end-to-end, contributing to team planning, and helping shape how Suvoda adopts AI in analytics. 

Our goal is to build a strong data culture at Suvoda using the strategy of the Data Analytics Cycle. Success will derive from developing new BI solutions, leading AI-enabled analytics pilots, and automating ad-hoc analysis for clear, action-oriented, evolving insights that inform Suvoda's strategy. 

Responsibilities: 

  • Own analytics engagements with cross-functional stakeholders end-to-end - from requirements gathering through delivery and adoption - for new and improved BI solutions. 
  • Develop, test, publish, and maintain Power BI reports and dashboards using data from multiple sources (Snowflake, Web (API), etc.). 
  • Maintain Power BI reports post-launch - gathering stakeholder feedback, supporting users, and managing workspace and report-level permissions. 
  • Transform and analyze multiple data sources from Suvoda's systems. 
  • Build and maintain dbt models in Snowflake to support Power BI reporting. 
  • Build and maintain centralized semantic models / Datasets (Power BI) for departmental reporting, including custom measures, summary tables, etc. 
  • Utilize Power Query to further clean and format data for analysis. 
  • Leverage AI coding assistants (e.g., Claude Code) to accelerate SQL, dbt, and Power BI development. 
  • Maintain Suvoda's business glossary, consolidating metrics calculations from Power BI, dbt, and SQL and cataloging business-critical system fields with links to terms and definitions. 
  • Support the Senior Manager, Data Analytics in piloting AI-enabled analytics workflows - including text-to-SQL on Snowflake - to enable self-service exploration for internal stakeholders. 
  • Present analytics findings to senior stakeholders and recommend new/adjusted KPIs to inform business decisions. 
  • Contribute to team planning and roadmap prioritization with the Senior Manager, Data Analytics, and mentor junior analysts on SQL, dbt, and Power BI best practices. 

Requirements:  

  • 5+ years' experience in business analyst, data analyst, strategy analyst, process analyst or similar role. 
  • 5+ years' experience using a business analytics service or tool: Power BI, Tableau, MicroStrategy, or equivalent. 
  • 5+ years' experience in one or more of the following: SQL (preferred), dbt, DAX, Python or equivalent. 
  • Experience with Snowflake or an equivalent cloud data warehouse (Databricks, BigQuery, Redshift) preferred. 
  • Proficient in Excel, Salesforce, Jira, and standard analytics and presentation tools.  
  • Hands-on experience with AI coding assistants (e.g., Claude Code, Cursor, Copilot) and/or text-to-SQL or other LLM-based analytics tools preferred. 
  • Self-starter with a passion for continuous learning and creative problem solving. 
  • Demonstrated experience partnering with senior stakeholders on cross-functional initiatives, including leading discovery, driving adoption, and influencing decisions.