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

Metropolitan Companies

Data Engineer

Wyomissing, PA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... SQL and databases, and is looking to grow into data engineering, automation, and analytics. The ... Experience writing scripts or automations (PowerShell, Python, or similar) * Ability to ...

Metropolitan Staffing

Data Engineer

Wyomissing, PA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... SQL and databases, and is looking to grow into data engineering, automation, and analytics. The ... Experience writing scripts or automations (PowerShell, Python, or similar) * Ability to ...

Penske

Data Scientist

Reading, PA

Analyze vehicle, supplier, cost, market, maintenance, telematics, resale, and operational data to ... Practical experience programming using Python, R or other high level scripting languages is ...

Penske

Data Scientist

Reading, PA · On-site

This role requires strong business judgment, technical analytical skills, and the ability to ... Knowledge and experience with SQL is preferred. • Experience with ELT Processes, data ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Lancaster, PA

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 Aug 17, 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.

What is a data analyst Python SQL?

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?

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.

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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:

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Data Analyst Python Sql jobs near you

SAP BRIM Data Analyst Developer (BODS and EMIGALL)

Valueprosite

Middletown, PA • On-site

Other

Posted 13 days ago

Job description


We are seeking an experienced SAP BRIM Data Analyst Developer (BODS and EMIGALL) to support enterprise SAP BRIM data migration and conversion across SOM, CC, CI, and FICA using SAP BODS and EMIGALL.  Analyze legacy systems, map data to BRIM target structures, build ETL/migration jobs, and validate data quality through cutover and production stabilization.

Our SAP BRIM Data Analyst Developer (BODS and EMIGALL) will perform the following duties;
- Data Analysis & Migration Support: Analyze legacy source systems and map data to SAP BRIM target structures (SOM, CC, CI, FICA, customer/billing master data); support extraction, transformation, cleansing, validation, and reconciliation.
- SAP BODS Development: Design/develop/maintain BODS jobs, workflows, scripts, and ETL processes; build source-to-target mappings; optimize for performance/scalability; support batch scheduling; troubleshoot job failures.
- SAP EMIGALL Development: Configure/develop EMIGALL migration objects and load programs for master data, transactional data, FICA, customer accounts, and billing/invoicing; execute loads, validation, mock conversions, and cutover.
- Data Validation & Reconciliation: Develop validation scripts, reconciliation reports, data quality checks, and test scenarios; validate completeness/accuracy/integrity; resolve discrepancies and migration defects.
- Technical Development & Integration: Support integration between BRIM and S/4HANA, CRM, legacy billing platforms, and external sources; collaborate on APIs/interfaces/middleware; perform SQL/database-level analysis.
- Testing & Production Support: Participate in SIT, UAT, and performance testing; support migration deployment and post-production stabilization; troubleshoot production issues.
- Documentation & Governance: Maintain mapping documents, ETL specs, migration procedures, and runbooks; support data governance, compliance, and change management standards.
- Collaboration: Work with data architects, BRIM functional consultants, BASIS, infrastructure teams, and business stakeholders; participate in workshops/design reviews; provide knowledge transfer.

The Skills and Experience:
- 3+ Years: SAP data migration or data development experience
- 3+ Years: SAP BODS development experience
- 2+ Years: SAP EMIGALL development and migration experience
- Proven experience supporting enterprise SAP BRIM or FICA migration initiatives
- Hands-on: BODS ETL jobs/workflows, data mappings/transformation logic, EMIGALL migration objects/load processes, SQL queries and reconciliation reports
- Strong understanding of SAP BRIM data structures, FICA migration concepts, data migration methodologies, and data quality/reconciliation practices
- Experience with S/4HANA integrations, database technologies, APIs/middleware, and performance optimization
- Strong analytical, ETL development, communication, and documentation skills; able to manage multiple priorities with strong attention to data quality
- Experience with SAP Data Migration Cockpit, HANA, Datasphere, SAP Analytics Cloud, and cloud-based SAP environments is a plus
- Industry experience in utilities, telecom, transportation, finance, or subscription-based businesses; large-scale transformation and Agile/hybrid delivery experience; prior SAP consulting/contractor experience is a plus
- Certifications (preferred): SAP Certified Application Associate – SAP BRIM; SAP Certified Development Associate – SAP Data Services; SAP Certified Technology Associate – HANA; S/4HANA; data integration/ETL certifications is a plus

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