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Senior Data Analyst Developer Jobs in Lancaster, PA

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $70/hr

Senior Data Analyst, location is Hybrid/Onsite. The start date is ASAP for this contract-to-hire ... Collaborate with data science, engineering, and reporting teams to deliver standardized data ...

Amphenol TCS

Data Analyst

Yocumtown, PA · On-site

We're hiring across experience levels, from junior to senior. RESPONSIBILITIES: The Data Analyst will support engineering teams by transforming raw operational data into reliable reporting and ...

Amphenol ICC

Data Analyst

Yocumtown, PA · On-site

$65 - $90/hr

Etters, PA The Data Analyst will support engineering teams by transforming raw operational data ... For more senior candidates: lead requirements-gathering on complex initiatives and mentor junior ...

New

Amphenol Corporation

Data Analyst

Yocumtown, PA · On-site

$65 - $95/hr

Etters, PA The Data Analyst will support engineering teams by transforming raw operational data ... For more senior candidates: lead requirements-gathering on complex initiatives and mentor junior ...

Hitachi Careers

Sr. Data Engineer - Flink

Reading, PA · On-site

$110K - $132K/yr

Analyze throughput, latency, backpressure, state growth, checkpoints, recovery, resource ... Perform code reviews and promote automated testing, code quality, infrastructure-as-code, and DevOp ...

Amphenol ICC

AI Data & Business Analyst

Yocumtown, PA · On-site

$85 - $125/hr

Our global headquarters is in Nashua, NH and we have engineering, sales, and manufacturing locations globally. We are seeking a Data & Business Analyst to join a new AI engineering capability within ...

New

Amphenol TCS

AI Data & Business Analyst

Yocumtown, PA · On-site

Our global headquarters is in Nashua, NH and we have engineering, sales, and manufacturing locations globally. We are seeking a Data & Business Analyst to join a new AI engineering capability within ...

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $58/hr

Senior Maintenance Analyst, location is Onsite. The start date is ASAP for this contract-to-hire ... Collaborate with data science, engineering, and reporting teams to deliver standardized data ...

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $70/hr

Senior Maintenance Analyst, location is Onsite. The start date is ASAP for this contract-to-hire ... Collaborate with data science, engineering, and reporting teams to deliver standardized data ...

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All JobsData Analyst Developer JobsSenior Data Analyst Developer JobsSenior Data Analyst Developer Jobs in Lancaster, PA

Senior Data Analyst Developer information

See Lancaster, PA salary details

$53.5K

$96.4K

$131.7K

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

As of Sep 4, 2026, the average yearly pay for senior data analyst developer 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 does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

What are the most commonly searched types of Data Analyst Developer jobs in Lancaster, PA?

The most popular types of Data Analyst Developer jobs in Lancaster, PA are:

What are popular job titles related to Senior Data Analyst Developer jobs in Lancaster, PA?

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

What job categories do people searching Senior Data Analyst Developer jobs in Lancaster, PA look for?

The top searched job categories for Senior Data Analyst Developer jobs in Lancaster, PA are:

What cities near Lancaster, PA are hiring for Senior Data Analyst Developer jobs?

Cities near Lancaster, PA with the most Senior Data Analyst Developer job openings:

Senior Data Analyst Developer jobs near you
Infographic showing various Senior Data Analyst Developer job openings in Lancaster, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $96,437 per year, or $46.4 per hour.

Senior Maintenance Analyst

Mondo

Reading, PA • On-site

$55 - $70/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 20 days ago

Job description

Apply now: Senior Data Analyst, location is Hybrid/Onsite. The start date is ASAP for this contract-to-hire position.

Job Title: Senior Data Analyst Location-Type: Hybrid (Reading, PA)- Onsite to start, then more of a flexible hybrid schedule Start Date Is: ASAP Duration: 6-Month Contract-to-Hire (must be able to convert without sponsorship) Compensation Range: $55-$70 per hour W2 ONLY Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Seeking a Senior Maintenance Analyst to support the development of scalable data products, analytics solutions, and reporting capabilities that drive operational decision-making across multiple business functions.

Day-to-Day Responsibilities:

  • Develop and maintain scalable, reusable data products for cross-functional business teams
  • 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 initiatives
  • Partner with stakeholders to gather requirements and translate business needs into data solutions
  • Collaborate with data science, engineering, and reporting teams to deliver standardized data products
  • Evaluate and recommend appropriate technologies based on business requirements, cost, and scalability
  • Support data visualization and reporting initiatives
  • Ensure data quality, integrity, and governance standards are maintained
  • Analyze large-scale datasets and provide actionable business insights

Minimum Requirements:

  • 3-5 years of data analytics, data engineering, or related experience
  • Expert-level SQL skills including joins, CTEs, window functions, and complex query development
  • Experience with ETL processes and data cleansing
  • Strong Python development experience
  • Experience developing solutions using PySpark
  • AWS cloud services experience
  • Experience working with large datasets and enterprise-scale data environments
  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management skills
  • Ability to work independently and take ownership of projects

Preferred Qualifications:

  • Experience with Tableau, Qlik Sense, or similar visualization tools
  • Experience with SQL Server, Oracle, IBM DB2, or related databases
  • Power Platform experience
  • Exposure to data science, forecasting, or predictive analytics initiatives
  • Knowledge of geospatial analysis or ESRI/ArcGIS concepts
  • Experience supporting cloud and on-premises data ecosystems