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Senior Python Data Analyst Jobs in Lancaster, PA

Cleans and prepares data for analysis, ensuring applicability to business need. Engages in data ... R, Python, SQL) to identify patterns and trends, while reaching out to senior level analysts for ...

Senior Data Analyst, location is Hybrid/Onsite. The start date is ASAP for this contract-to-hire ... Develop analytics solutions using Python and PySpark * Support data pipeline design, validation ...

Sr. Marketing Data Analyst

Lititz, PA · Remote

$80K - $99K/yr

Job Summary As a Senior Marketing Data Analyst at WebstaurantStore, you will play a critical role ... Python or R Studio * Proficiency with MS Office required (Outlook, Word, Excel, PowerPoint)

Financial Data Analyst

Lititz, PA · On-site +1

$65K - $75K/yr

Job Summary Clark Associates is seeking a driven and detail-oriented Financial Data Analyst to join ... Proficiency in Python, Power Automate, and Excel VBA (nice to have) * Experience leveraging AI ...

Sales Pricing Data Analyst

York, PA · On-site

$75K - $90K/yr

We are looking for a Sales Pricing Data Analyst to strengthen commercial decision-making through ... Python, Power BI, Tableau, or comparable platforms. • Strong knowledge of pricing methods ...

Present business insights and recommendations to senior leadership. * Support strategic initiatives ... Proven experience using AI/ML tools and modern analytics platforms (e.g., Python, SQL, Power BI ...

Present business insights and recommendations to senior leadership. * Support strategic initiatives ... Proven experience using AI/ML tools and modern analytics platforms (e.g., Python, SQL, Power BI ...

Senior Maintenance Analyst, location is Onsite. The start date is ASAP for this contract-to-hire ... Develop analytics solutions using Python and PySpark * Support data pipeline design, validation ...

Senior Maintenance Analyst, location is Onsite. The start date is ASAP for this contract-to-hire ... Develop analytics solutions using Python and PySpark * Support data pipeline design, validation ...

Strong knowledge of AI/ML using Python, data science tools and methodologies, advanced quantitative ... Strong experience presenting to mid & Senior Management. Ability to explain complex AI/ML topics in ...

... AI/ML using Python, data science tools and methodologies, advanced quantitative modeling ... mid & Senior Management. Ability to explain complex AI/ML topics in simple terms to various ...

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Senior Python Data Analyst information

See Lancaster, PA salary details

$53.5K

$96.4K

$131.7K

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

As of Jul 27, 2026, the average yearly pay for senior python data analyst in Lancaster, PA is $96,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $105,400.00 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 job categories do people searching Senior Python Data Analyst jobs in Lancaster, PA look for? The top searched job categories for Senior Python Data Analyst jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Senior Python Data Analyst jobs? Cities near Lancaster, PA with the most Senior Python Data Analyst job openings:
Data Analyst

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


WellSpan Health rating

7.6

Company rating: 7.6 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

188th of 890 rated healthcare providers


Job description

General Summary

Is responsible for retrieving, interpreting, and analyzing data to drive key business decisions and actions, measure program efficacy and contribute to strategic direction. Working with other teams across the Revenue Cycle, participates as a catalyst for maintaining the data life cycle. Focusing on system strategic goals and objectives, assist customers with formulating appropriate data questions that will lead to analyses which will reveal relevant insights. Cleans and prepares data for analysis, ensuring applicability to business need. Engages in data profiling of raw data. Applies appropriate techniques and programming languages (e.g. R, Python, SQL) to identify patterns and trends, while reaching out to senior level analysts for assistance when needed. Assist stakeholders with interpreting results, at times applying visualization techniques (e.g. Microsoft Power BI). Collaborates with developers and end users to ensure technical requirements and specifications reflect appropriate business logic.This position will leverage the analytics spectrum to tell a story with the data, working with senior level analysts to ensure the application of the most appropriate approach for each business need. Applies these approaches to data from various sources, such as relational databases, data warehouses, data marts and tabular data models. Accesses data from third-party vendor tools. This position requires the soft skill of story-telling through data, by turning technical information into easy-to-understand non-technical action items. Confidence in presentation of findings and excellent communication skills are desired. Develops the ability to view business problems from varying perspectives and continuously display curiosity.

Qualifications
Minimum Education:

  • High School Diploma or GED Required
  • Bachelors Degree Preferred

Work Experience:

  • 5 years Mathematics, Finance, Statistics, or Computer science or related field Required

Licenses:

  • Certified Health Data Analyst Upon Hire Preferred

Knowledge, Skills, and Abilities:

  • Math, statistical and analysis skills needed;
  • Demonstrated proficiency with SQL query writing skills required;
  • Knowledge of data modeling concepts desired;
  • Experience with R, Python & other languages required;
  • Strong teamwork/communication/customer service skills.

Benefits Offered:

  • Comprehensive health benefits
  • Retirement savings plan
  • Paid time off (PTO)
  • Education assistance
  • Financial education and support, including DailyPay
  • Expanded Paid Parental Leave

For additional details:Benefits & Incentives | WellSpan Careers (joinwellspan.org)

Duties and Responsibilities
Essential Functions:

  • Assist customers with formulating appropriate data questions to meet business and strategic needs.
  • Ability to take a business question or need and turn it into a data question for the purpose of transforming and analyzing the data to extract an answer to that question.
  • Retrieve data from one or more sources and prepare the data for analysis.
  • Engage in data profiling of raw data, including but not limited to, health plan (i.e. claims), electronic health record, and third-party vendor data.
  • Identify patterns and trends in the data using appropriate techniques and programming languages.
  • Participate in data exploration activities for the purpose of finding interesting trends or relationships that could bring value to the business.
  • Develop skill set to create clean, visually compelling charts & visualizations that will help others understand the data and relevant insights.
  • Support the Revenue Cycle data and analytics strategy, processes, technical architecture, and design of subject areas.
  • Collaborate with developers and end users to ensure technical requirements and specifications reflect appropriate business logic.
  • Support system wide data integrity, quality control and standardization as identified by system leaders and/or system level teams

Common Expectations:

  • Enhances professional growth and development through participation in educational programs, current literature, in-service meetings, and workshops.
  • Provides outstanding service to all customers; fosters teamwork; and practices fiscal responsibility through improvement and innovation.

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