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Senior Python Data Analyst Jobs in Warrington, PA

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA · On-site

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 ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA · On-site

... 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 ...

CNCSINFOTECH LLC

Data Analyst

Philadelphia, PA

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 ...

Everest Re Group

AVP, Technical Data Analyst

Warren, NJ · Hybrid

$175K - $210K/yr

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc ... Strong communication and storytelling skills to present insights to senior stakeholders * A ...

Everest

AVP, Technical Data Analyst

Warren, NJ · Hybrid

$175K - $210K/yr

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc ... Strong communication and storytelling skills to present insights to senior stakeholders * A ...

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Senior Python Data Analyst information

See Warrington, PA salary details

$53.9K

$97.3K

$132.9K

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

As of Aug 21, 2026, the average yearly pay for senior python data analyst in Warrington, PA is $97,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,400.00 and $106,400.00 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 Warrington, PA?

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

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

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

Senior Python Data Analyst jobs near you

Data Analyst, Specialist

Vangard, Inc.

Malvern, PA • On-site

Full-time

Re-posted 18 days ago

Job description

Role Summary

In this role,you will help turn data into decisions by combining strong technical execution with growing business awareness and communication skills.Working alongside moreseniorscientists and cross-functional partners, you will contribute to solving real business problems and learn how analytics connects to outcomes.

You'llown well-defined components - a model, a feature pipeline, an analysis - while developing the ability to understand stakeholder needs, ask the right questions, and explain your work clearly so others can act on it. The problems will often arrive partially framed; your role is to execute rigorously while building the judgment to connect technical outputs to business value.

This is a hands-on, growth-oriented role on cross-functional teams whereyou'llbuild both technical depth and the communication skills needed to become a trusted analytics partner over time.

WhatYou'llDo

Explain your work clearly to technical and non-technical teammates.Communicatemethods, results, andlimitationsso findings are understood, trusted, and usable in decision-making.

Build well-scoped models and analyses. Develop andvalidatemodels on defined problems such as feature engineering, model fitting, calibration, and validation with guidance on approach and standards.

Wrangle and prepare data. Access, transform, clean, and document large-scale data;identifyand diagnose inconsistencies and gaps.

Contribute to production. Help deploy and monitor models alongside MLE and engineering, learning the discipline of keeping a live model healthy.

Runexperiments others design. Execute designed experiments and analyses correctly and interpret the results.

Explain your work clearly.Communicate methods, results, and caveats to your team so findings can be trusted and built on.

Use AI to work faster. Apply AI coding and analysis assistants to accelerate your own work, while learning to evaluate their output critically.

Learnthe practice. Absorb standards and patterns from senior teammates and contribute to a growing, AI-native analytics community.

Core Qualifications

  • 3+ years of data science / ML experience

  • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Analytics, or a related quantitative field - or an equivalent combination of training and experience.Graddegree preferred.

  • Workingproficiencyin Python and SQL and comfort wrangling real, messy data.

  • Solid foundation in statistical and machine learning methods and an understanding of model validation.

  • Exposure to cloud environments (AWS, Azure, or GCP) and standard tooling (e.g., Git,Jupyter).

  • Clear communication anda strong desireto learn.

Building for the Age of AI

We expect this role to use modern AI tools fluently and to grow intobuildingwith them. Strength or genuine curiosity in several of the following is whatwe'relooking for:

  • Working with GenAI / LLMs: comfort using retrieval-augmented generation (RAG), embeddings, and prompting following established patterns.

  • Building alongside agentic systems: contributing to LLM/agent workflows that someone more senior has architected.

  • Evaluation basics: helping testmodeland LLM output against defined quality metrics.

  • Experimentation fundamentals: understanding the difference between what predicts an outcome and what changes it.

  • AI-augmented working style: using AI coding assistants to move faster while sanity-checking their output rather than trusting it by default.

Preferred / Nice to Have

  • Project or coursework experience with recommendation, ranking, or decision-support problems.

  • Familiarity withnotebooks-to-production workflows and version control.

  • Exposure tobig-dataframeworks (Spark, etc.).

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.

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