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Weekend Python Data Analyst Jobs in Pennsylvania

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 ...

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 ...

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

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 ...

Data Engineer

Lansdale, PA · On-site

$110K - $133K/yr

Data Engineer Primary & Secondary Skill SQL/Python/Data Engineer/AWS Data Engineers who can build ... Collect, process, and analyze large datasets to extract meaningful insights. Design and conduct ...

The Data Analyst Intern will report directly to the Business Intelligence Manager and is ... Experience with SQL, R, and Python. * Reporting - Familiar with modern business intelligence tools ...

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 ...

The Data Analyst Intern will report directly to the Business Intelligence Manager and is ... Experience with SQL, R, and Python. * Reporting - Familiar with modern business intelligence tools ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Weekend Python Data Analyst information

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 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 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:
Data Analyst, Specialist

Full-time

Posted yesterday


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.