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Part Time Entry Level Data Analyst Jobs (NOW HIRING)

BMW Group

$29.90/hr

This is a part-time internship position for our Fall rotation, from September 8th, 2025 through December 12th, 2025 in Woodcliff Lake, NJ. WHAT AWAITS YOU. * As an AI and Data Analytics Intern, you ...

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Vendelux Inc

Part time Data Intern

New York, NY · On-site

We are offering a paid internship to an entry-level person looking to break into tech and startups ... Use SQL and dashboarding tools to perform data analysis to identify insights about events ...

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Part Time Entry Level Data Analyst information

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

As of Jul 16, 2026, the average hourly pay for part time entry level data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

How to get a job as a data analyst with no experience?

To get a part-time entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or tutorials. Gaining familiarity with basic statistical concepts and creating a portfolio of simple projects can also improve your chances, along with applying for internships or volunteer opportunities to gain practical experience.

What is a part time entry level data analyst?

A part time entry level data analyst is someone who works fewer hours than a full-time employee and is typically new to the field of data analysis. Their main responsibilities include collecting, cleaning, and interpreting data to help organizations make informed decisions. They often use basic tools like Excel or introductory data analysis software, and work under the supervision of more experienced analysts. Entry level roles are designed for those who may have limited professional experience or are recent graduates looking to build their skills.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data collection, Excel, and data visualization tools like Tableau or Power BI. These roles often serve as starting points for individuals with little professional experience in data analysis or related fields.

What types of projects and tasks can I expect to handle as a part-time entry level data analyst?

As a part-time entry level data analyst, you'll typically work on tasks such as cleaning and organizing raw data, creating basic reports and visualizations, and assisting with data quality checks. You might also help maintain databases or support senior analysts with ongoing projects, such as tracking key metrics or preparing presentations. The projects are usually well-defined and supervised, making this role an excellent opportunity to build foundational skills while working closely with experienced team members.

Is 40 too late for data science?

For a part-time entry-level data analyst role, age is not a barrier; skills such as proficiency in Excel, SQL, or Python are more important. Many professionals transition into data analysis later in their careers by gaining relevant certifications or completing online courses. Age should not prevent you from developing the necessary skills and applying for entry-level positions in data analysis.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. Entry-level data analysts will need to develop skills in data visualization, programming, and domain knowledge to stay valuable as AI advances. Human judgment remains critical in understanding nuanced insights and communicating findings effectively.

What are the key skills and qualifications needed to thrive as a Part Time Entry Level Data Analyst, and why are they important?

To thrive as a Part Time Entry Level Data Analyst, you generally need a basic understanding of statistics, data interpretation, and proficiency with spreadsheet tools like Microsoft Excel, often supported by a relevant degree or coursework. Familiarity with data visualization software (e.g., Tableau), databases (e.g., SQL), and potentially introductory certifications in analytics are common requirements. Attention to detail, problem-solving abilities, and effective communication are soft skills that set standout candidates apart. These skills and qualities are crucial for accurately analyzing data, drawing meaningful insights, and clearly presenting findings to support organizational decision-making.
More about Part Time Entry Level Data Analyst jobs
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Part Time Entry Level Data Analyst jobs near you
Infographic showing various Part Time Entry Level Data Analyst job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Policy Data Analyst /Quantitative + Financial/Cost Analyst -Phila, PA

BVA Bear's IT Solutions

Boiling Springs, PA • On-site

Part-time

Medical

Re-posted 23 days ago

Job description

Responsive recruiter
Benefits:
  • Health insurance

BVA Bears IT Solutions is seeking a Policy Data Analyst (Quantitative Analyst + Financial/Cost Analyst) a senior-level professional combining the strengths of a Quantitative Analyst and a Financial/Cost Analyst-to support policy, research, and program development initiatives for the City of Philadelphia.
This is a part-time position with a primarily remote work environment. While most responsibilities can be performed virtually, occasional on-site meetings in Philadelphia may be required based on project needs.
Location / Travel RequirementCandidates must live within a reasonable commuting distance of Philadelphia-generally within ~1 hour-to ensure availability for any in-person engagements.
Work may be performed remotely and/or on-site at the request of City Council. Communications, submissions, and contract documentation occur electronically. Briefings, presentations, interviews, and working sessions will be scheduled by Council as required for project progress or clarification.
Position Summary
The Policy Data Analyst (Quantitative Analyst + Financial/Cost Analyst) serves as the quantitative, financial, and modeling specialist responsible for conducting data analysis, forecasting, fiscal modeling, scenario comparisons, and quantitative support for policy and program development. The role provides analytical rigor for high-complexity assignments, ensures methodological transparency, prepares data-driven insights, and delivers clear visuals and fiscal notes supporting City Council's decision-making.
This position fulfills RFP requirements for strong quantitative and analytical skills and expertise with spreadsheet and database software, supporting best-practices research, program evaluation, and legislative analysis. The Analyst collaborates closely with policy, legislative, and program design staff to translate data into actionable recommendations and contribute to executive-ready deliverables.
Project Duration:
This role will be for a 12 month project period.
Expected Monthly Hours:
The Policy Data Analyst (Quantitative Analyst + Financial/Cost Analyst) is projected to work approximately 27 hours per month, depending on project milestones and documentation cycles. Estimated hours by month are as follows:
  • Month 1: ~27 hours per month
  • Months 2-3: ~15 hours per month
  • Month 4: ~12 hours per month
  • Month 5: ~15 hours per month
  • Month 6: ~22 hours per month
  • Month 7: ~12 hours per month
  • Month 8: ~15 hours per month
  • Month 9: ~18 hours per month
  • Month 10: ~12 hours per month
  • Month 11: ~15 hours per month
  • Month 12: ~18 hours per month

Total Annual Commitment: ~196 hours.
These hours may flex slightly based on invoicing cycles, disclosure deadlines, and Contract Philly submission requirements.
Essential Duties and Responsibilities
Task A - Quantitative Modeling, Forecasting & Scenario Analysis (Ongoing)
  • Build and run quantitative models supporting cost estimates, projections, and scenario analyses.
  • Produce data-driven comparisons of policy or program options, assessing impacts, feasibility, and financial implications.
  • Apply structured methodologies, assumptions, and sensitivity analyses to support decision-making.
  • Ensure analytical methods are transparent, replicable, and aligned with RFP expectations for program evaluation and quantitative rigor.

Task B - Data Analysis, Database/Spreadsheet Management & Methodological Documentation (Continuous)
  • Clean, manage, and analyze datasets using spreadsheet and database tools.
  • Conduct statistical analysis, trend identification, and performance assessments for programs or legislative proposals.
  • Document data sources, assumptions, methodologies, and limitations in audit-ready format.
  • Maintain organized, accessible datasets supporting ongoing policy and program development.

Task C - Fiscal Analysis, Costing & Financial Impact Modeling (Milestone-Driven)
  • Prepare fiscal notes, cost-benefit analyses, and expenditure/revenue impact estimates.
  • Assess operational, budgetary, and economic implications of policy or program designs.
  • Collaborate with policy leads to integrate quantitative findings into recommendations and legislative deliverables.
  • Develop clear financial summaries suitable for executive-level review.

Task D - Visualization, Deliverable Support & Executive-Ready Communication (Recurring)
  • Produce charts, graphs, tables, and visuals communicating complex data clearly.
  • Contribute quantitative content to white papers, policy memos, program designs, and presentations.
  • Translate technical results into plain-language explanations for policymakers.
  • Manage revisions and iterative updates based on stakeholder feedback.

Task E - Documentation, Recordkeeping & Compliance (Continuous)
  • Maintain complete analytical workpapers, including calculations, datasets, and version histories.
  • Ensure documentation complies with PSSOP record-retention requirements.
  • Follow City requirements related to nondiscrimination, LEP accessibility, disclosures, ethics/gifts, and PHI Terms when applicable.
  • Support administrative tracking for deliverables and submission compliance.

Task F - Presentations, Technical Clarifications & Support for City Review Processes (As Requested)
  • Provide technical explanations, model walkthroughs, and data clarifications during briefings.
  • Participate in presentations or interviews requested by City Council or relevant departments.
  • Respond to inquiries regarding calculations, data sources, fiscal impacts, or modeling decisions.

Quality Assurance, Documentation & Compliance
Conduct internal QA reviews for analytical accuracy, model validity, and error checking. Ensure all assumptions, methods, and data sources are fully documented. Maintain audit-ready documentation consistent with PSSOP requirements.
Required Qualifications
  • Experience in quantitative analysis, financial modeling, forecasting, or cost analysis in a public-sector or policy context.
  • Expertise with spreadsheets and database software and strong quantitative/analytical skills.
  • Ability to translate quantitative findings into clear policy insights.
  • Strong visualization and data communication skills.
  • Experience documenting methods, assumptions, and data sources for audit-ready deliverables.
  • Ability to work collaboratively across policy, legislative, and analytical teams.

Preferred Qualifications
  • Experience supporting municipal or legislative bodies, including preparing fiscal analyses.
  • Familiarity with Philadelphia's policy environment and administrative processes.
  • Experience supporting presentations, interviews, or clarifications in RFP processes.
  • Background in equity metrics, demographic analysis, or accessibility (LEP) considerations.

Key Competencies
  • Quantitative Modeling & Forecasting
  • Data Cleaning, Management & Analysis
  • Financial & Cost Analysis
  • Visualization & Data Storytelling
  • Policy Impact Assessment
  • Methodological Documentation & QA
  • Collaboration & Cross-Functional Coordination
  • Analytical Judgment & Accuracy

U.S. Citizenship Requirement:
This position is restricted to U.S. citizens only in accordance with federal contract requirements. Applicants must provide proof of U.S. citizenship (such as a U.S. passport, birth certificate, or Certificate of Naturalization) prior to employment. Non-citizens, including lawful permanent residents (Green Card holders), are not eligible for this role.
Equal Employment Opportunity:
BVA Bears IT Solutions is committed to providing equal employment opportunities. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetic information, military/veteran status, or any other characteristic protected by law.
Flexible work from home options available.

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