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Senior Python Data Analyst Jobs in Berwyn, PA (NOW HIRING)

Data Analyst, Senior Specialist

Malvern, PA · On-site

$84K - $106K/yr

... senior leader stakeholders to implement. * Develops, owns and manages recurring analytic or reporting processes. Demonstrates expertise in data visualization and mentors analysts on data ...

Working alongside more senior scientists and cross-functional partners, you will contribute to ... Working proficiency in Python and SQL and comfort wrangling real, messy data. * Solid foundation in ...

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

Working alongside more senior scientists and cross-functional partners, you will contribute to ... Working proficiency in Python and SQL and comfort wrangling real, messy data. * Solid foundation in ...

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 ...

Showing results 41-60

Senior Python Data Analyst information

See Berwyn, PA salary details

$52.8K

$95.2K

$130K

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 Berwyn, PA is $95,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $104,100.00 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 Berwyn, PA?

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

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

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

Infographic showing various Senior Python Data Analyst job openings in Berwyn, PA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $95,201 per year, or $45.8 per hour.

Marketing Data Analyst

Kanak Elite Services Inc

Malvern, PA • On-site

Contractor

Re-posted 29 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Marketing Data Analyst with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Marketing Data Analyst

Location          : Malvern, PA Hybrid

Duration         : long term contract

Responsibilities

  • Translate marketing and business needs into analytical requirements E.g., data, models required to build strategic analytical solution
  • Establish the analytical framework to successfully deliver business OKRs
  • Design a robust and streamlined data-lead strategy to drive marketing optimization at scale
  • Run BAU, proposed and other “what if” scenarios assessments to validate approach and evaluate impact
  • Design an actionable marketing operations and experimentation roadmap
  • Build consensus and influence senior stakeholders to gain confidence in analytics proposals
  • Continuously evangelize analytical and data-driven problem solving, strategic mindset & experimentation best practices across the organization

Qualifications

  • Bachelor’s degree and industry certification preferred, 8+ years’ experience and relevant skillset in the subject matter required, has extensive knowledge of subject matter and extensive knowledge of the business

Key Focus Areas:

    • The analyst will work within the Marketing Analytics team, which supports multiple business partners across various marketing functions.
    • This role involves leveraging existing data science models—developed by a separate data science team—to design, execute, and optimize marketing campaigns.
    • The analyst will focus on translating model outputs into actionable marketing strategies, helping the business understand how to use data to improve campaign effectiveness and targeting.
    • A solid understanding of marketing analytics conceptscampaign creation, and performance optimization is essential.
    • Experience with forecastingdata-driven decision-making, and campaign performance measurement will be highly valuable.

Technical Requirements:

    • Proficiency in SQL for data extraction, manipulation, and analysis.
    • Working knowledge of Python for data analysis and automation.
    • Strong analytical and communication skills to collaborate with marketing stakeholders and translate technical insights into business outcomes.
    • While domain experience isn't important these resources need to have supported large enterprises, worked with large sets of data and supported big data platforms (AWS or Azure)