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Entry Level Excel Data Analyst Jobs in Philadelphia, PA

ASB Resources

Data Analyst

Philadelphia, PA · On-site

This Data Analyst will primarily support the program's initiatives by reviewing data submissions ... email), ), Excel (projects that require input, validation and movement of data) Ability to work ...

Constellis

Data Analyst

Philadelphia, PA · On-site

$17.92/hr

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... Proficient in Word, Excel, and data entry * Strong command of the English language * Ability to ...

Constellis

Data Analyst

Philadelphia, PA

$17.92/hr

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... Proficient in Word, Excel, and data entry * Strong command of the English language * Ability to ...

Temple University

Clinical Data Analyst

Philadelphia, PA · On-site

$65K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Analyst administers real-time maintenance of the data infrastructure and tools to ensure ... Design and create data visualizations using tools like Power BI, or Excel to effectively represent ...

The Hartford

Investment Data Analyst

Wayne, PA

$70K - $90K/yr

Data Analyst - 87IB6E We're determined to make a difference and are proud to be an insurance ... Proficient in Microsoft Office, specifically Excel. Visual Basic (VBA) experience a plus * Working ...

BNP Paribas

Syndicate Data Analyst

Chesterbrook, PA · On-site

$70K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Analyst to support the team and its daily operations.The position demands strong analytical ... Good Excel, PowerPoint and Word skills Preferred Qualifications: * Knowledge of fixed income ...

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Entry Level Excel Data Analyst information

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How much do entry level excel data analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for entry level excel data analyst in Philadelphia, PA is $33.23, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $37.12 per hour, depending on experience, location, and employer.

Is Excel enough for an Entry Level Excel Data Analyst?

For an entry-level Excel data analyst, proficiency in Excel is essential as it is the primary tool for data analysis tasks. However, developing skills in data visualization, basic SQL, and understanding data management can enhance job performance and opportunities. Additional certifications or knowledge of related tools may be beneficial for career growth.

What entry level jobs use Excel?

Entry level Excel Data Analyst roles often involve tasks such as data entry, data cleaning, and basic analysis using Excel functions and formulas. These jobs typically require proficiency in spreadsheet skills, and familiarity with tools like pivot tables and charts is beneficial for handling data efficiently.

What is an entry level Excel data analyst?

An Entry Level Excel Data Analyst is a professional who uses Microsoft Excel to organize, analyze, and interpret data to help organizations make informed decisions. They typically work with large datasets, create reports, and use Excel functions like formulas, pivot tables, and charts. Entry level analysts often assist senior analysts and may help with data cleaning, trend analysis, and basic data visualization. This role is ideal for individuals starting their careers in data analysis and looking to develop their technical and analytical skills.

What are the key skills and qualifications needed to thrive as an entry level Excel data analyst?

To thrive as an Entry Level Excel Data Analyst, you need a solid understanding of data analysis fundamentals, proficiency with Microsoft Excel, and at least a bachelor's degree in a related field. Familiarity with Excel functions, pivot tables, basic data visualization tools, and possibly introductory knowledge of SQL or BI tools is advantageous. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data accurately and present findings clearly. These skills are critical for transforming raw data into actionable insights that support business decisions.

What is the difference between Entry Level Excel Data Analyst vs Data Coordinator?

AspectEntry Level Excel Data AnalystData Coordinator
Required SkillsProficiency in Excel, basic data analysis, attention to detailData management, organization, Excel skills, communication
CertificationsExcel certifications, data analysis coursesData management certifications often preferred
Work EnvironmentOffice setting, analytical tasks, reportingOffice environment, data entry, coordination tasks
Industry UsageBusiness, finance, marketingHealthcare, education, corporate sectors

While both roles involve working with data and Excel, an Entry Level Excel Data Analyst focuses on analyzing data and generating reports, whereas a Data Coordinator manages data organization and ensures data accuracy across systems. The analyst role emphasizes analysis skills, while the coordinator emphasizes data management and coordination tasks.

What are some common challenges faced by entry level Excel data analysts, and how can they be overcome?

Entry-level Excel Data Analysts often encounter challenges such as managing large datasets, ensuring data accuracy, and learning advanced Excel functions. These can be overcome by gradually building proficiency in Excel through practice and online tutorials, double-checking data for errors, and seeking guidance from more experienced team members. Collaboration with colleagues and participating in team meetings can also help analysts understand project requirements and best practices, making it easier to deliver accurate and meaningful insights.

What are the most commonly searched types of Excel Data Analyst jobs in Philadelphia, PA?

The most popular types of Excel Data Analyst jobs in Philadelphia, PA are:

What are popular job titles related to Entry Level Excel Data Analyst jobs in Philadelphia, PA?

For Entry Level Excel Data Analyst jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Entry Level Excel Data Analyst jobs in Philadelphia, PA look for?

The top searched job categories for Entry Level Excel Data Analyst jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Entry Level Excel Data Analyst jobs?

Cities near Philadelphia, PA with the most Entry Level Excel Data Analyst job openings:

Entry Level Excel Data Analyst jobs near you
Infographic showing various Entry Level Excel Data Analyst job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $69,110 per year, or $33.2 per hour.

Data Analyst

KERRIDGE COMMERCIAL SYSTEMS CORP

Blue Bell, PA • On-site

Full-time

Posted 25 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