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Data Engineer Data Analyst Jobs in Exton, PA (NOW HIRING)

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data ... Work with product owners, data scientists, analysts, and architects to translate business ...

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data ... Work with product owners, data scientists, analysts, and architects to translate business ...

This Data Analyst will primarily support the program's initiatives by reviewing data submissions for accuracy, take direction on how to look up and validate data, follow up to correct deficient data ...

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy ... Collaborate with cross-functional teams including technical product owners, analysts, and software ...

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy ... Collaborate with cross-functional teams including technical product owners, analysts, and software ...

Provide guidance to Data Stewards and Data Analysts to utilize Data Quality tools in in the adoption of data quality standards, policies and procedures * Work with DQ Issues groups and LOB ...

Provide accurate, timely and meaningful data that supports corporate goals and decision making ... Strong analytical, organizational and problem-solving skills. * Proficiency in Microsoft Excel ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking an experienced Data Engineer to join their AI/ML Engineering team ... analysis of raw data sources, applying business context to meet model development needs. • ...

... seeking a Data Engineer who is passionate about building scalable, impactful data pipelines ... Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating ...

New

Our mission is to develop novel data and analytics approaches that can disrupt the status quo and ... As a Data Engineer, you will work with our partners to develop and deploy production-grade ...

... analytical roles * Advanced Salesforce reporting; strong Excel and PowerPoint skills (Power BI/Tableau a plus) * Proven ability to present to senior leadership and communicate complex data clearly ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Data Engineer Location:Malvern PA Openings: 2 Duration: Contract Job Summary We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, AWS Glue, and AWS data services to ...

Showing results 41-60

Data Engineer Data Analyst information

See Exton, PA salary details

$32.8K

$79.8K

$131.3K

How much do data engineer data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineer data analyst in Exton, PA is $79,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $93,600.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Exton, PA? For Data Engineer Data Analyst jobs in Exton, PA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Exton, PA look for? The top searched job categories for Data Engineer Data Analyst jobs in Exton, PA are:
What cities near Exton, PA are hiring for Data Engineer Data Analyst jobs? Cities near Exton, PA with the most Data Engineer Data Analyst job openings:

Data Analyst

KERRIDGE COMMERCIAL SYSTEMS CORP

Blue Bell, PA • On-site

Full-time

Posted 19 days ago


Job description

"At Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work."

Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade – wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively.

Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We’re looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication.

The QA Data Analyst maintains and assures the quality of Klipboard’s automotive catalog data, making sure parts, vehicle, labour and interchange information is accurate, complete and ready for customers to use. Working as a fully competent individual contributor, the role loads, reviews and validates catalog data, extracts and transforms information from industry-standard formats such as ACES and PIES, and resolves data-quality issues with limited supervision. Success looks like catalog content customers can trust – high coverage, few defects, and timely updates that reflect changes across the automotive aftermarket. Day to day, the role works within a catalog data operations team using Excel, relational databases and catalog configuration systems, and partners with product, development and customer-facing colleagues to keep data standards high. As a mid-level (P3) role, it balances hands-on data-quality delivery with growing automotive-industry and technical expertise.

Key Responsibilities:

  • The QA Data Analyst maintains and assures the quality of Klipboard’s automotive catalog data, making sure parts, vehicle, labour and interchange information is accurate, complete and ready for customers to use. Working as a fully competent individual contributor, the role loads, reviews and validates catalog data, extracts and transforms information from industry-standard formats such as ACES and PIES, and resolves data-quality issues with limited supervision. Success looks like catalog content customers can trust – high coverage, few defects, and timely updates that reflect changes across the automotive aftermarket. Day to day, the role works within a catalog data operations team using Excel, relational databases and catalog configuration systems, and partners with product, development and customer-facing colleagues to keep data standards high. As a mid-level (P3) role, it balances hands-on data-quality delivery with growing automotive-industry and technical expertise.

    Role Accountabilities

    • The areas below show where a mid-level (P3) QA Data Analyst makes the greatest impact – fully competent in day-to-day catalog data quality and working with limited supervision.

    Key Activities and Contributions

    • Load, review and prioritise automotive catalog data updates so parts, vehicle and interchange information stays accurate and complete.
    • Extract and validate data from ACES and PIES XML feeds.
    • Verify labour and specification data, component diagrams and part interchange.
    • Maintain part types and product categories within the catalog.
    • Publish and recommend retained parts based on data review.

    Systems, Tools and Technology

    • Use Excel and data-analysis tools to cleanse, review and validate large volumes of catalog data.
    • Perform catalog configuration tasks – installation, basic setup, part search and user emulation.
    • Develop and apply scripts and tools for data conversion using intermediate data-transformation techniques.
    • Query and analyse complex data structures across relational databases.
    • Apply ACES, PIES and Partslink catalog standards in day-to-day work.

    Technical and Professional Expertise

    • Apply strong data literacy – data concepts, terminology and structures – to catalog data.
    • Analyse data trends and patterns to identify and resolve quality issues.
    • Demonstrate intermediate database knowledge and data-transformation capability.
    • Apply sound automotive parts knowledge and a developing understanding of industry trends and market dynamics.
    • Understand tire-data fundamentals, terminology and processes, using intermediate tools to acquire and amend tire product data.

    Core Responsibilities and Contributions

    • Ensure catalog data is accurate, complete and fit for customer use.
    • Investigate, prioritise and remediate data-quality issues with limited supervision.
    • Conduct quality assurance across both the catalog system and the underlying data.
    • Uphold data-quality standards and governance across all deliverables.
    • Maintain rigorous attention to detail in all data entry and analysis.

    Customer Experience

    • Respond to routine customer data queries accurately and promptly.
    • Ensure catalog content meets customer needs and reduces coverage gaps.
    • Contribute to customer satisfaction through reliable, trustworthy catalog data.
    • Key Outcomes and Activities High-quality, high-coverage catalog data delivered to schedule.
    • Reduced data defects and faster resolution of data issues.
    • Accurate ACES/PIES extraction, quality assurance and publication.
    • Consistent application of QA processes across catalog projects.

    People, Collaboration & Culture

    • Collaborate with product, development and customer-facing teams to align catalog data with requirements.
    • Communicate complex data clearly to non-technical colleagues.
    • Share knowledge and support more junior analysts.
    • Contribute to a culture of accuracy, accountability and continuous improvement.

    Additional Responsibilities (as aligned to company job architecture)

    • Understand the roles of manufacturers, suppliers, distributors and retailers across the aftermarket.
    • Stay informed of industry changes – mergers and acquisitions, private-label supplier changes and emerging technologies.
    • Identify product-relevant industry and tire-data trends.
    • Use AI tools to improve data quality and productivity, in line with Klipboard’s approach to AI.


    Key Relationships (Internal and external)

    Internal

    • Product and Catalog teams
    • Development and Engineering teams
    • Data and QA colleagues, including the team lead
    • Customer support teams

    External

    • Customers raising catalog and data queries
    • Data suppliers and industry data sources (for example ACES/PIES providers and Partslink)

    Interaction is mainly collaborative and service-oriented, providing practical advice on data quality.

    Skills, Knowledge and Experience:

    • Solid data literacy – understanding of data concepts, terminology and structures.
    • Proficiency in Excel and data-analysis tools to review and validate large data sets.
    • Intermediate relational-database knowledge and data-transformation skills (for example SQL and scripting for data conversion).
    • Experience extracting and validating structured data such as XML feeds (ACES/PIES or equivalent).
    • Strong analytical skills with a high level of accuracy and attention to detail.
    • Knowledge of automotive parts and their functions, or equivalent product-data domain experience.
    • Clear written and verbal communication, including explaining complex data to non-technical colleagues.
    • Able to work as a fully competent individual contributor with limited supervision.

    Preferred Qualifications and Experience

    • Familiarity with automotive catalog standards (ACES, PIES and Partslink).
    • Understanding of automotive industry trends and market dynamics.
    • Tire-data experience, including tire industry terminology and data-acquisition tools.
    • Experience with catalog configuration systems.
    • Exposure to verifying component diagrams, interchange and labour/specification data.
    • AI Fluency – Klipboard is embracing AI at pace across our products and ways of working. We’re looking for people who are curious about how AI can enhance productivity, decision-making and customer outcomes, and who are open to learning and adapting as this space evolves.

    What Success in This Role Looks Like

    • Catalog data is consistently accurate, complete and delivered on schedule, with measurably fewer defects and coverage gaps.
    • ACES and PIES data is extracted, quality-assured and published reliably with minimal rework.
    • Customer data queries are resolved accurately and promptly, supporting positive customer feedback.
    • You operate independently on complex catalog-data tasks, needing only limited supervision.
    • Across the first 30/60/90/120 days you build strong product, industry and technical knowledge and begin improving data-quality processes.

Company Info

You may also have seen from our recent posts that we are excited to begin sharing our new company name – Klipboard. Kerridge Commercial Systems (KCS) is becoming Klipboard and our new brand is designed to bring together our expertise across distribution, automotive, retail, rental, transport management, manufacturing, and field service management. We have offices based across the world and we are looking for talented individuals to join our growing teams. Due to our growth over the last few years it is an exciting time to join us as we enter our next chapter! At Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work."

Equal Opportunities

As a global company, we value and respect the diversity of our workforce, aiming to empower everyone to embrace each other's differences. We are committed to creating an inclusive workplace where diversity, equity, and inclusion are integral to our company and culture. We recognize the benefits of a diverse workforce, where creativity and valuing differences enable us all to thrive and sparks innovation.

If you require any help, adjustments and/or support during the interview and offer process then please advise our TA or HR team.

Research shows that women and other underrepresented groups are less likely to apply for a role unless they meet every listed requirement. However, we recognise that skills and experience come in many forms, and we encourage you to apply even if you don’t meet every criterion. If you are passionate about this role and believe you have the right mindset and transferrable skills, we would love to hear from you!

To all recruitment agencies: Klipboard does not accept agency speculative resumes. At present we only accept CV’s from Agencies on our PSL who have been assigned specific position/s. Please do not forward resumes to our careers site or direct to Klipboard employee as this does not constitute an introduction and Klipboard retrospectively will not be liable for any candidate ownership or fees related to unsolicited resumes.

#LI-Hybrid