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Senior Python Data Analyst Jobs in Phoenixville, PA

Absorb standards and patterns from senior teammates and contribute to a growing, AI-native ... Workingproficiencyin Python and SQL and comfort wrangling real, messy data. * Solid foundation in ...

... senior leader stakeholders to implement. * Develops, owns and manages recurring analytic or ... Advanced Python experience for analysis, modeling, and automation (e.g., pandas, NumPy, stats/ML ...

... senior leader stakeholders to implement. * Develops, owns and manages recurring analytic or ... Advanced Python experience for analysis, modeling, and automation (e.g., pandas, NumPy, stats/ML ...

The Analyst will act as a liaison between various Data and Engineering stakeholders to develop ... from Sr. leadership o Automate self-service reporting Requirements: Strong experience with SQL ...

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

Design and deliver high-quality analyses, visualizations, and presentations that translate complex data into clear, actionable insights for business partners and senior leaders. * Analyze large ...

Design and deliver high-quality analyses, visualizations, and presentations that translate complex data into clear, actionable insights for business partners and senior leaders. * Analyze large ...

Showing results 41-60

Senior Python Data Analyst information

See Phoenixville, PA salary details

$55.4K

$100K

$136.6K

How much do senior python data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior python data analyst in Phoenixville, PA is $100,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $109,300.00 per year, depending on experience, location, and employer.

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

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What are popular job titles related to Senior Python Data Analyst jobs in Phoenixville, PA?

For Senior Python Data Analyst jobs in Phoenixville, PA, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Analyst jobs in Phoenixville, PA look for?

The top searched job categories for Senior Python Data Analyst jobs in Phoenixville, PA are:

What cities near Phoenixville, PA are hiring for Senior Python Data Analyst jobs?

Cities near Phoenixville, PA with the most Senior Python Data Analyst job openings:

Infographic showing various Senior Python Data Analyst job openings in Phoenixville, PA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $100,006 per year, or $48.1 per hour.

Principal Data Analyst (Advanced Analytics), HyperPersonalization

Vangard, Inc.

Malvern, PA

Full-time

Re-posted 16 days ago


Job description

Role Summary

The Data Analyst, Senior Specialist role analyzes complex datasets to provide actionable insights, optimize processes, and support decision-making. This role involves leading analytics projects, ensuring data quality, and collaborating with teams to deliver data-driven solutions. The position also includes mentoring peers and driving automation to enhance business efficiency.


Responsibilities

  • Conduct advanced analytics and statistical modeling on diverse business datasets to generate actionable insights.

  • Identify trends, patterns, and correlations within data to support informed decision-making across business functions.

  • Utilize machine learning techniques and sophisticated analytical methods to uncover trends and insights from structured and unstructured data sources.

  • Define data requirements, oversee data collection processes, and ensure the accuracy, consistency, and quality of the data.

  • Establish and enforce data quality standards, including the development of tools and methods to measure and enhance data integrity.

  • Design and implement automated systems for data collection, processing, and reporting to streamline workflows and improve business agility.

  • Engage with internal stakeholders to understand business strategies, objectives, and challenges, and translate these into actionable analytical projects.

  • Lead complex, cross-functional projects from concept to completion, offering strategic and tactical guidance to team members and ensuring alignment with organizational goals.

  • Serve as the analytics subject matter expert, providing insights and recommendations for enterprise-wide strategic initiatives.

  • Develop and present clear, impactful visualizations and reports that translate complex data insights into actionable recommendations for senior leadership.

  • Mentor and guide colleagues on best practices for data visualization, ensuring clarity and accessibility for a wide range of audiences.

  • Foster the growth of the analytics community at Vanguard by mentoring and coaching peers, while connecting them with training resources and development opportunities.

  • Stay informed about emerging trends in data science and analytics, sharing insights and presenting at analytics seminars to contribute to knowledge-sharing within the organization.

  • Own and manage recurring analytic and reporting processes, ensuring efficiency and accuracy in data delivery.

  • Identify opportunities to automate data-related workflows, driving operational efficiency and supporting business agility.

  • Contribute to special projects as needed and take on other tasks or duties as assigned.


Qualifications and Skills

  • Minimum of 12 years corporate experience

  • Minimum of 10 years related work experience in data analytics, management and modelling.

  • Proven Marketing & Distribution Analytics leader

  • Ability to build strong relationships with senior business partners

  • Exceptional data storytelling through visualization

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

  • Proficiency in programming languages such as Python, R, or SQL.

  • Experience with data visualization tools (e.g., Tableau, Power BI) and data analysis platforms.

  • Strong understanding of statistical modeling, machine learning, and advanced analytics techniques.

  • Ability to analyze large datasets, identify trends, and translate data into actionable insights.

  • Experience in data collection, cleaning, and quality assurance to ensure data accuracy and integrity.

  • Familiarity with data automation and process optimization.

  • Experience working in cross-functional teams and leading data-driven projects.

  • Familiarity with big data tools or platforms (e.g., Hadoop, Spark) is a plus.

  • Knowledge of emerging trends in data science and analytics is beneficial.

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.