1

Data Analyst Python Sql Jobs in Lancaster, PA (NOW HIRING)

Financial Data Analyst

Lititz, PA · On-site +1

$65K - $75K/yr

Develop and interpret SQL queries and DAX measures to support analysis * Validate data accuracy ... Proficiency in Python, Power Automate, and Excel VBA (nice to have) * Experience leveraging AI ...

Maintenance Analyst

Reading, PA · On-site

$66K - $84K/yr

The Penske Maintenance Analytics team is seeking a Senior Maintenance Analyst to drive business ... data-driven decision-making. Proficiency with Python, SQL, Excel, Qlik Sense, Tableau, and similar ...

Maintenance Analyst

Reading, PA · On-site

$66K - $84K/yr

The Penske Maintenance Analytics team is seeking a Senior Maintenance Analyst to drive business ... data-driven decision-making. Proficiency with Python, SQL, Excel, Qlik Sense, Tableau, and similar ...

Sr. Marketing Data Analyst

Lititz, PA · Remote

$80K - $99K/yr

Build and manage advanced SQL queries, data marts, and pipelines for analysis and measurement ... Python or R Studio * Proficiency with MS Office required (Outlook, Word, Excel, PowerPoint)

This role exists to translate business needs into well-structured data, applications, and insights ... as a SQL Developer or Business Analyst (manufacturing preferred) - SQL, Microsoft SQL Server ...

This role exists to translate business needs into well-structured data, applications, and insights ... as a SQL Developer or Business Analyst (manufacturing preferred) - SQL, Microsoft SQL Server ...

Build and optimize SQL queries, ETL processes, and data transformation workflows * Develop analytics solutions using Python and PySpark * Support data pipeline design, validation, and governance ...

Build and optimize SQL queries, ETL processes, and data transformation workflows * Develop analytics solutions using Python and PySpark * Support data pipeline design, validation, and governance ...

Operations AI Intern

Morgantown, PA · On-site

$14.75 - $19.50/hr

Foundational knowledge of machine learning concepts and data analysis. * Experience with Python, SQL, AI frameworks, computer vision tools, visualization software, or automation platforms is a plus.

Proficiency in Data Analytics Software: Advanced skills in programming languages and tools such as Python, R, SQL, and data visualization tools like Power BI. * Experience with Digital Tools and ...

... analytical environments • Expertise with Data Engineering/Big data tools such as Python, PySpark, Kafka, API's, Talend and BODS, etc. • Expertise with relational SQL and NoSQL databases • ...

next page

Showing results 1-20

Data Analyst Python Sql information

See Lancaster, PA salary details

$33K

$80.3K

$132.2K

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

As of Jun 28, 2026, the average yearly pay for data analyst python sql in Lancaster, PA is $80,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,300.00 per year, depending on experience, location, and employer.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Lancaster, PA? For Data Analyst Python Sql jobs in Lancaster, PA, the most frequently searched job titles are:
What cities near Lancaster, PA are hiring for Data Analyst Python Sql jobs? Cities near Lancaster, PA with the most Data Analyst Python Sql job openings:
Financial Data Analyst

Financial Data Analyst

Clark Associates

Lititz, PA • On-site, Remote

$65K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Clark Associates rating

8.0

Company rating: 8.0 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

110th of 343 rated retail wholesalers


Job description

Job Summary

Clark Associates is seeking a driven and detail-oriented Financial Data Analyst to join the Financial Systems & Data team. In this role, you will work directly with The Restaurant Store Accounting team as well as the broader Clark Associates Finance organization to deliver reporting, analysis, and insights that support strategic decision-making and operational efficiency.  


This role requires strong collaboration across Finance and Accounting teams, with an emphasis on understanding business context, improving reporting accuracy, and enabling decision-making through scalable data solutions. 


This role is a preferred hybrid role, if you are local to Lititz, PA, with one day in the office a week to ensure valuable face time with the team. 

Responsibilities

Reporting & Data Storytelling 

  • Translate financial and operational data into clear, accurate, and actionable insights  
  • Build and maintain Power BI and Excel-based reporting solutions aligned to business needs  
  • Anticipate stakeholder needs and structure analyses to answer key business questions  
  • Ensure reporting is accurate, consistent, and aligned with defined data and metric standards  

Stakeholder Collaboration & Business Partnership 

  • Partner with stakeholders to understand business goals, constraints, and reporting needs  
  • Translate business problems into structured analytical questions and reporting solutions  
  • Collaborate on KPI definitions, report design, and data requirements to ensure alignment  
  • Set clear expectations around timelines, scope, and deliverables  

Business & Financial Acumen 

  • Apply financial knowledge to contextualize reporting and analysis  
  • Connect insights to broader business strategy, KPIs, and operational performance  
  • Understand how financial and operational processes impact reported results  

Data Modeling & Reporting 

  • Extract and combine data from multiple sources (Snowflake, SQL, Excel, semantic models, etc.)  
  • Develop and interpret SQL queries and DAX measures to support analysis  
  • Validate data accuracy, completeness, and consistency across reporting layers  
  • Build, enhance, and maintain Power BI data models and reporting solutions  
  • Ensure models are efficient, scalable, and aligned with best practices  


Process & Operational Support 

  • Maintain recurring operational reporting for The Restaurant Store Accounting team  
  • Identify opportunities to improve reporting consistency and automation  
  • Stay current on BI, Snowflake, and data visualization best practices  


Project Ownership & Execution 

  • Own projects end-to-end from intake through delivery  
  • Manage multiple priorities and communicate tradeoffs when needed  
  • Provide accurate timelines and structured project plans  
  • Independently manage stakeholder relationships with appropriate support as needed  
Physical Requirements
  • Work is performed while sitting/standing and interfacing with a personal computer.
  • Requires the ability to communicate effectively using speech, vision, and hearing.
  • Requires the regular use of hands for simple grasping and fine manipulations.
  • Requires occasional bending, squatting, crawling, climbing, and reaching.
  • Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.
Remote Work Qualifications
  • Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
  • Access to a home router and modem.
  • A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).
  • A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.
  • The desire and ability to work and communicate with other team members via chat, webcam, etc.
  • Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only.
Experience
  • 2–4 years of professional experience in data analytics, finance, or a related role
  • Experience working with financial or operational datasets (strongly preferred)
  • Knowledge of finance or accounting concepts
  • Proficiency in Power BI or similar data visualization tools
  • Strong SQL skills, including experience working in cloud data environments (Snowflake preferred)
  • Advanced Excel skills required
  • Proficiency in Python, Power Automate, and Excel VBA (nice to have)
  • Experience leveraging AI tools (e.g., Claude, Copilot, or similar) to enhance analysis, reporting, modeling, and workflow efficiency
Education

This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.

Desired Traits & Skills
  • Strong analytical and problem-solving skills
  • Ability to work independently while managing multiple priorities
  • Strong communication skills, with ability to clearly present findings to stakeholders
  • Curiosity and initiative to explore data and identify opportunities without being prompted
  • Ability to think critically about business problems, not just execute requests
  • Interest in building scalable, sustainable reporting rather than one-off solutions
Company Overview

A rapidly growing, multi-divisional company headquartered in Lancaster, Pennsylvania with services supporting all of Clark’s distribution methods in the food service industry.

Benefits
  • Medical
  • Vision
  • Dental
  • PTO
  • Paid Maternity Leave
  • Paid Parental Leave
  • Life Insurance
  • Disability
  • Dependent Care FSA
  • 401(k) matching
  • Employee Assistance Program
  • Wellness Incentives
  • Company Discounts
  • AT&T & Verizon Discount
  • Bonus Opportunities
  • Accident Insurance
  • Critical Illness Insurance
  • Adoption Assistance
Available at HQ Locations Only
  • On-Site Fitness Centers
  • Dog-friendly Offices

What Clark Associates employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom