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Intern Python Data Analyst Jobs in Pennsylvania (NOW HIRING)

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 ...

Nuuly Senior Data Analyst

Philadelphia, PA · On-site

$82K - $103K/yr

Responsibilities : • Understand & analyze data via Google BigQuery (SQL), Looker, & Python. • Work with cross-functional partners to understand the intent behind business questions and translate ...

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 ...

Experience with statistical programming languages (e.g., R, Python) a plus, but not required * Knowledge of statistical analysis techniques. * Understands how data will be used when requested and ...

Strong SQL skills and proficiency in Python, including pandas and related analytics libraries. Experience with Spark or PySpark for large scale data processing is a plus * Experience building ...

Fraud Data Analyst

Pittsburgh, PA · On-site

$72K - $81K/yr

Strong SQL skills and proficiency in Python, including pandas and related analytics libraries. Experience with Spark or PySpark for large scale data processing is a plus * Experience building ...

Fraud Data Analyst

Pittsburgh, PA · On-site

$72K - $81K/yr

Strong SQL skills and proficiency in Python, including pandas and related analytics libraries. Experience with Spark or PySpark for large scale data processing is a plus * Experience building ...

Reviews and performs root cause analysis of data errors and provides short-term and long-term ... Working knowledge of SQL and Python. Advanced knowledge and skills using current versions of the ...

Experience with statistical programming languages (e.g., R, Python) a plus, but not required * Knowledge of statistical analysis techniques. * Understands how data will be used when requested and ...

Nuuly Senior Data Analyst

Philadelphia, PA · On-site

$79K - $99K/yr

Understand & analyze data via Google BigQuery (SQL), Looker, & Python. * Work with cross-functional partners to understand the intent behind business questions and translate into thoughtful analytics ...

Understand & analyze data via Google BigQuery (SQL), Looker, & Python. * Work with cross-functional partners to understand the intent behind business questions and translate into thoughtful analytics ...

Sr. Data Analyst, Internal Audit

Malvern, PA · On-site

$84K - $106K/yr

As a Senior Data Analyst, we are seeking a hands-on analytics and automation professional who can ... The ideal candidate brings strong Python, SQL, and data engineering skills, paired with the ability ...

The intern will collaborate with Supplier Quality, Supply Chain, and Data teams to analyze supplier ... Exposure to data visualization tools (Power BI, Tableau, Python visualization libraries, or similar)

Workswith digital,behavioral,and clickstream data to understand customer interactions across ... Strong SQL and Python skills with experience analyzing large-scale structured and behavioral ...

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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:
Data Analyst, Specialist

Data Analyst, Specialist

Vanguard Group, Inc.

Malvern, PA • On-site

Full-time

Posted 2 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services


Job description

The Advice and Wealth Management (AWM) Analytics team is seeking an analyst to play an important role supporting the Personal Wealth Marketing team and enabling growth through data-driven strategy. Our work includes data preparation and transformation, discovery analysis, experimental design, campaign measurement, dashboard development, and strategic recommendations sourced from the data. The role involves collaboration with marketing and analytics partners and working closely with cross-functional teams and initiatives. We are looking for someone who excels at connecting business questions and marketing decisions to clear, actionable analysis with value-creating impact.
Data Management and Analysis
  • Acquire and compile structured and unstructured data, verifying its quality, accuracy, and reasonableness.
  • Perform analyses of historical data to surface trends and insights using advanced analytical methods.
  • Validate analytical techniques employed by other analysts.
  • Develop expertise in key subject areas (e.g., audience targeting, client journey, marketing channel usage, and marketing content).

Reporting and Visualization
  • Prepare and deliver visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.
  • Develop, own, and manage recurring analytic or reporting processes.

Project Management and Strategy
  • Engage with internal partners to understand business strategy, questions, and goals.
  • Bring structure to business requests, translate requirements into an analytical project approach, and lead projects through completion.
  • Delegate tasks and provide tactical and strategic guidance to peers.
  • Proactively identify opportunities within the business to contribute to its growth and success.
  • Participate in special projects and perform other duties as assigned.

Mentorship and Knowledge Sharing
  • Foster a culture of continuous learning and innovation in analytics tools and methods.
  • Proactively expand knowledge of business and analytics, share best practices, and document them.
  • Serve as a subject matter expert for the team and the analytic organization.

Cross-Functional Collaboration
  • Partner with teams in Marketing, CXD, Engineering, and Finance to deliver integrated insights.
  • Participate in cross-divisional data projects and resolve operational challenges.

Qualifications
  • Experience: Over five years in analytics, data science, or business intelligence.
  • Education: Bachelor's degree in a relevant field
  • Technical Skills: Proficiency in SQL, Tableau, Python, PySpark and cloud platforms like AWS and Snowflake.
  • Communication Skills: Strong skills in communication, presentation development, and stakeholder engagement.
  • Data Visualization: Experience with tools like Tableau and Power BI.
  • Marketing Knowledge: Strong understanding of marketing principles and strategies (e.g., A/B, multivariate, multi-armed bandit).

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.

What Vanguard employees say

Pay

Benefits

Hours and flexibility

Workplace

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