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Nonprofit Data Science information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do nonprofit data science jobs pay per year?

As of Jul 27, 2026, the average yearly pay for nonprofit data science in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is a Nonprofit Data Science job?

A Nonprofit Data Science job involves using data analysis, statistics, and technology to help nonprofit organizations make informed decisions, improve efficiency, and measure impact. Professionals in this role collect, clean, and analyze data to support fundraising, program evaluation, and stakeholder reporting. They often work with tools like Python, R, SQL, and data visualization platforms to uncover insights. Unlike corporate data science, the focus is on social good rather than profit.

What are the key skills and qualifications needed to thrive in the Nonprofit Data Science position, and why are they important?

To thrive in Nonprofit Data Science, you need strong analytical and statistical skills, proficiency in data analysis, and a relevant degree such as statistics, mathematics, or computer science. Familiarity with tools like Python, R, SQL, and data visualization software, as well as certifications in data analysis or nonprofit management, are highly valued. Exceptional communication, problem-solving abilities, and a passion for mission-driven work help individuals excel in this field. These skills are crucial for transforming complex data into actionable insights that further an organization's social impact and fundraising efforts.

What are the typical daily responsibilities of someone working in Nonprofit Data Science?

Daily responsibilities for a Nonprofit Data Science professional often include gathering, cleaning, and analyzing data related to program outcomes, donor engagement, and fundraising efficiency. You may develop reports, dashboards, and visualizations to help internal teams make data-driven decisions. Collaborating closely with program managers, development teams, and external stakeholders is common to ensure data accurately represents impact. Individuals in this role also frequently participate in strategic planning and may be involved in grant reporting and evaluating new initiatives for measurable results.

What are popular job titles related to Nonprofit Data Science jobs in Indiana? For Nonprofit Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Nonprofit Data Science jobs in Indiana look for? The top searched job categories for Nonprofit Data Science jobs in Indiana are:
Nonprofit Data Science jobs near you
Infographic showing various Nonprofit Data Science job openings in Indiana as of July 2026, with employment types broken down into 5% Internship, 74% Full Time, and 21% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.
Data Analyst (Geospatial Analyst), Pediatrics Health Services Research

Data Analyst (Geospatial Analyst), Pediatrics Health Services Research

Indiana University

Indianapolis, IN • On-site

Full-time

Posted 26 days ago

Job description

Job Summary:
Indiana University is seeking a Data Analyst (Geospatial Analyst) to support their Pediatrics Health Services Research. The role involves managing and analyzing data, ensuring data quality, and developing geospatial indicators and visualizations to inform community health initiatives.
Responsibilities:
• Develop, manage, and maintain data related to projects noted above.
• Responsible for data integration from various data systems to assess data quality and feasibility for specific data-related projects and proposals.
• Curate analytic data sets for these projects/proposals.
• Address data quality issues through data cleaning techniques and creative approaches to data management.
• Effectively organize the data while maintaining scrupulous documentation on meta-data and processes.
• Geocode/geoaggregate/geotag data as needed.
• Develop data visualization deliverables including community dashboards.
• Organizing, storing and analyzing data as efficiently as possible, while always upholding agreed-upon security standards.
• Perform geocoding, geoaggregation, and geotagging of records to spatially enable data.
• Develop geospatial indicators related to residential mobility, health and social disparities, and contextual place-based metrics.
Qualifications:
Required:
• Master's degree in Public Health, Information Science, Urban Planning, or related scientific field
• 4 years experience as a Data Analyst, Data Scientist, GIS Analyst or related occupation
• 24 months conducting spatial data analysis, including geocoding, geoaggregation, and spatial enablement of datasets to support the development of neighborhood-level indicators and contextual place-based metrics
• 18 months integrating and managing large public or administrative datasets to support programmatic research, data quality assessment, and longitudinal analysis
• 12 months designing and delivering community-facing data visualizations, dashboards, and reports for diverse stakeholders, including public agencies and nonprofit partners
• 6 months supporting reproducible workflows and metadata documentation for spatial and social determinant datasets in interdisciplinary research settings
• Ability to effectively communicate
• Ability to operate a computer and other standard office productivity equipment
• Ability to perform sedentary work as well as periods of time moving around an office environment and the campus
• Ability to perform the essential functions with or without an accommodation
Company:
Indiana University looked for ways to promote innovation while assisting students in building better futures. Founded in 1820, the company is headquartered in Bloomington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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