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Intern Python Data Analyst Jobs in Pennsylvania (NOW HIRING)

Senior Data Analyst

Conshohocken, PA ยท 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

$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 ยท 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 ยท 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 ...

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Intern Python Data Analyst information

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

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

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

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

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.
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 โ€ข 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.ย 

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.ย 

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.ย 

Responsibilities:ย 

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

Requirements:ย ย 

  • 5+ years' experience in businessย analyst, dataย analyst, strategyย analyst, processย analystย or similarย role.ย 
  • 5+ years' experience using a business analytics service or tool: Power BI, Tableau, MicroStrategy, or equivalent.ย 
  • 5+ years' experience in one or more of the following: SQL (preferred),ย dbt, DAX,ย Pythonย or equivalent.ย 
  • Experience with Snowflake orย an equivalentย cloud data warehouse (Databricks,ย BigQuery, Redshift) preferred.ย 
  • Proficient in Excel, Salesforce, Jira,ย and standard analytics andย presentation tools.ย ย 
  • 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.ย 
  • Self-starter with a passion for continuous learning and creative problem solving.ย 
  • Demonstratedย experienceย partnering with senior stakeholdersย on cross-functionalย initiatives, including leading discovery, driving adoption, and influencing decisions.ย ย