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Part Time Non Profit Data Analyst Jobs (NOW HIRING)

The Pennsylvania State University

The Analyst would be responsible for supporting methods development and data analysis for a variety of projects, and may have opportunities to contribute to the implementation of an effective ...

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

Futran Tech Solutions Pvt. Ltd.

Sr. Data Analyst

$88K - $111K/yr

We are requesting a part-time (50%) Sr Data Analyst contractor from the US, who can be available as early as 730 PT to work with our offshore IST team and support multiple projects. The location ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/yr

Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Booz Allen Hamilton, Inc.

Cyber Data Analyst

Chantilly, VA · On-site

$62K - $141K/yr

Share Cyber Data Analyst The Opportunity: As a cyber data analyst, you love diving into data and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Brown University

Lead Data Analyst

Hall, NY · Hybrid

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

Brown University

Lead Data Analyst

Providence, RI · On-site

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

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Part Time Non Profit Data Analyst information

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$34K

$82.6K

$136K

How much do part time non profit data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for part time non profit data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Can you be a data analyst as a side hustle?

A part time non profit data analyst can pursue side projects or freelance work outside their main role, provided they manage their time effectively and do not violate any employment agreements. Skills in data analysis tools like Excel, SQL, or Tableau are useful for side gigs, which often offer flexible schedules. However, balancing multiple commitments requires good organization and awareness of confidentiality policies in non profit settings.

What does a Part Time Non Profit Data Analyst do?

A Part Time Non Profit Data Analyst collects, organizes, and analyzes data to help nonprofit organizations make informed decisions. Their work may involve evaluating program effectiveness, tracking fundraising performance, and identifying trends to improve outreach and impact. By working part-time, they provide flexible support, often focusing on specific projects or ongoing data management tasks. Their insights help nonprofits allocate resources efficiently and demonstrate their impact to stakeholders.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a data analyst's role in interpreting data, providing insights, and making strategic decisions remains essential. For part-time non-profit data analysts, skills in data visualization tools and critical thinking are valuable, as AI tools complement rather than replace human judgment. Human expertise is crucial for understanding context and ensuring ethical use of data.

What are some common challenges faced by part-time data analysts in non-profit organizations, and how can they be addressed?

Part-time data analysts in non-profit organizations often encounter challenges such as limited access to resources, fragmented data sources, and time constraints due to reduced hours. To address these issues, it’s helpful to prioritize projects based on organizational impact, use accessible tools like Excel or Google Sheets, and establish clear communication with team members to align on data needs and deadlines. Building relationships with program staff and IT can also streamline data collection and improve data quality, helping analysts make the most of their part-time role.

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

To thrive as a Part Time Non Profit Data Analyst, you need strong analytical skills, experience with data collection and interpretation, and a background in statistics or a related field. Proficiency with data analysis tools such as Excel, SQL, or Tableau, and familiarity with donor management or CRM systems, is typically required. Attention to detail, problem-solving, and effective communication help you translate complex data into actionable insights for diverse stakeholders. These skills are crucial for supporting informed decision-making and maximizing the impact of nonprofit initiatives with limited resources.

Do non-profits need data analysts?

Yes, non-profits often need data analysts to interpret data related to program outcomes, fundraising, and community impact. Data analysts help improve decision-making, measure effectiveness, and optimize resource allocation, making their skills valuable in the non-profit sector.

What is the difference between Part Time Non Profit Data Analyst vs Part Time Non Profit Program Coordinator?

AspectPart Time Non Profit Data AnalystPart Time Non Profit Program Coordinator
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis toolsBachelor's in Social Sciences, Nonprofit Management, or related field; experience in program management
Work EnvironmentData-focused tasks, working with databases and analytics softwareProgram planning, community engagement, coordinating activities
Employer & Industry UsageNonprofit organizations, foundations, advocacy groupsNonprofit organizations, community service agencies

The Part Time Non Profit Data Analyst primarily focuses on analyzing data to support organizational decisions, requiring skills in data tools and statistical analysis. In contrast, the Part Time Non Profit Program Coordinator manages program activities and community outreach. Both roles are essential in nonprofits but differ in their core responsibilities and skill sets.

Is 40 too late for data science?

Age is not a barrier to becoming a data analyst in the non-profit sector, where skills in data management, analysis tools like Excel or SQL, and a willingness to learn are valued. Many professionals transition into data roles later in life, and gaining relevant certifications or training can enhance employability regardless of age.
What cities are hiring for Part Time Non Profit Data Analyst jobs? Cities with the most Part Time Non Profit Data Analyst job openings:
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What states have the most Part Time Non Profit Data Analyst jobs? States with the most job openings for Part Time Non Profit Data Analyst jobs include:
Part Time Non Profit Data Analyst jobs near you
Data Analyst (Part-Time Contractor)

Data Analyst (Part-Time Contractor)

Stable Kernel

Atlanta, GA • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

About the Company:
Stable Kernel is a technology services firm and custom software developer building scalable software solutions for cutting-edge, innovative enterprises to move their business forward. We are headquartered in Atlanta, GA. We're a privately held, Great Place to Work Certified Company™ with multi-awards for our amazing culture. Plus we have an impressive 10+ year trajectory of sustainable growth. At Stable Kernel, we support our colleagues in ways that help them do some of the best work of their lives.
About the Role:
As a Data Analyst (DA2) at Stable Kernel you will play a key role in converting data into insights that inform client and internal product roadmaps. Working with cross-functional teams, you will independently design dashboards, build reporting queries, and translate high-level questions into measurable metrics. Your blend of analytical, communication and problem-solving skills will help clients evaluate how their products operate and identify opportunities for improvement.
Data Analysts report directly to our Principal Data Strategist.
Core Responsibilities Include:
  • Technical Impact:
    • Designing and building dashboards and reports that align with business objectives, using advanced features of business intelligence tools (e.g., complex SQL, calculated fields and advanced charting).
    • Defining success metrics and measurement plans for new products and features
    • Tracking design and data requirements, suggesting scalable and reusable solutions.
    • Monitoring dashboard and data health, investigating anomalies and resolving data quality issues.
    • Contributing to documentation updates and maintaining data dictionaries to ensure shared understanding across projects.
    • Improving the efficiency or usability of existing reports and solutions by creating reusable queries or components and training junior analysts on tool basics.
    • Collaborating with product and engineering to understand technical dependencies and translate business questions into data solutions, sharing insights during cross-functional meetings.
  • Business Alignment:
    • Translating high-level client or project goals into data questions and metrics; validate that analyses align with these objectives and advise on measurement priorities.
    • Providing actionable insights that inform decisions and connect analysis outcomes clearly to business KPIs, suggesting optimizations based on trends or findings.
    • Breaking down analysis tasks, providing accurate estimates, and communicating expected effort and trade-offs while factoring in data complexities.
    • Building a strong understanding of the client domain and user journeys, incorporating domain nuances into analyses and understanding dependencies with engineering, product and marketing processes.
    • Supporting development of reusable dashboards, frameworks and templates, contribute to internal best practices and documentation, and share learnings across projects.
  • Consulting:
    • Coordinating closely with cross-functional teams to understand dependencies and identify data needs or risks early.
    • Building trust through reliable delivery and begin advising on analysis prioritization based on business impact.
    • Supporting roadmap discussions with data-backed insights, help triage competing requests and propose small enhancements where data can add value.
    • Suggesting improvements to existing metrics or frameworks and contributing to proposal or workshop preparation.

Interacting with Others: Coordinating analytics tasks within cross-functional pods, clarifying dependencies with product, design and engineering teams.Supporting project planning and sprint alignment by providing clear, structured updates in stand-ups and reviews.Sharing insights that inform product or marketing decisions, recommending reporting improvements or new analyses and advising on best practices for metrics interpretation.Supporting teammates by providing tool and process guidance, proactively communicating risks and mitigation plans, and documenting progress in shared tools.
  • Problem-Solving:
    • Solving moderately complex analysis challenges independently by proposing hypotheses, validating with data and recommending actionable insights.
    • Defining scope when details are unclear, suggest initial approaches to move work forward and clarify assumptions in analysis.
    • Identifying data or analysis risks and proposing mitigation steps, communicating risks clearly to project teams and escalating blockers or risks appropriately with context.
    • Documenting troubleshooting steps before escalation.
  • Leadership:
    • Identifying inefficiencies in workflows within the team and suggesting and implementing process improvements.
    • Promoting data quality and consistency by encouraging adherence to standard metrics and definitions and providing guidance to junior analysts on tools and approaches.
    • Sharing knowledge in informal training and leading small analytics projects or pods, coordinating task execution and dependencies to ensure alignment on goals.

Intimate, Working Familiarity With:
  • Familiarity with data warehouses, product analysis, statistical analysis tools and experience with large data sets and has managed their reliability and consistency.
  • Experience with implementing and maintaining product analytics tools (such as GA4, Pendo, Amplitude) and strategy.
  • Experience with app performance, analysis, app store optimization and A/B testing.
  • Experience with data activation tools.
  • Experience using SQL and Python.
  • Experience with observability and data visualization tools such as Grafana, DataDog, Tableau, Looker or PowerBI.
  • Experience using analytics-related tools such as Databricks or Amplitude.
  • Familiarity with Microsoft Office Suite.

General Requirements:
  • 3-5 years of experience as a data analyst.
  • Experience working in a consulting or professional services organization.
  • A bachelor's degree in data analytics, data science, a quantitative/analytical field, or similar.

Nice-to-haves:
  • Ability to effectively test APIs using standard tools such as Postman and curl.
  • Experience using agile work management tools such as Jira.

A Bit More Info:
Minimum Base Compensation: $65 per hour
This is a part-time contract position.
Stable Kernel operates a People Before Place Hybrid model, allowing most employees to choose where they can do their best work most days.
Travel may be associated with this role as it requires you to maintain an in-office presence in a hybrid capacity for regular in-person engagements for both clients and internal teams.
Our generous total compensation package includes:
  • Company-subsidized health, vision, and dental plan premium options beginning on the first day of employment
  • 401k with above-average company matching
  • Fully paid Group Life, Short and Long Term Disability, and AD&D insurance
  • Optional Flexible Spending Account, Dependent Care Flexible Spending Account, and Health Savings Account participation
  • Voluntary Life, Critical Illness, and Accident insurance
  • EAP and Health Advocacy program available at no cost to employees and their dependents
  • $1500-3000 annual industry educational budget
  • Paid time off and paid holidays
  • Access to Perks at Work program featuring a variety of discounted products and services

*Note - We are not sponsoring employment visas at this time. If you are currently in possession of an employment visa, it will need to be effective for at least 3 years from the date of your application for your candidacy for employment to be considered.
Stable Kernel's culture is inclusive and expansive. We celebrate diversity in its many glorious forms and do not discriminate on the basis of race, religion, color, national origin, gender role orientation, sexual orientation, age, marital status, veteran status, or disability status.
However, we will discriminate against those unwilling to comply with the practice of our company values:
  • we work with integrity always
  • we respect our work and each other
  • we are dedicated to life-long learning and sharing
  • we stay hungry for new challenges

If you are like-minded in this regard, we hope you will apply. We look forward to meeting you.

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