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Nonprofit Data Analytics Jobs (NOW HIRING)

Head of Data & Analytics

DC · Remote

$135K - $150K/yr

Description GlobalGiving is a nonprofit that connects donors with community-led organizations ... Serve as an analytics and reporting consultant to internal departments Data Governance * Establish ...

Head of Data & Analytics

$135K - $150K/yr

Job Type Full-time Description GlobalGiving is a nonprofit that connects donors with community-led ... Serve as an analytics and reporting consultant to internal departments Data Governance * Establish ...

SSRM Data Analytics Engineer

Englewood, CO · Remote

$113K - $135K/yr

Job Summary and Responsibilities Job Summary / Purpose The SSRM Data Analytics Engineer serves as ... As one of the nation's largest nonprofit Catholic healthcare organizations, CommonSpirit Health ...

$117K - $140K/yr

Job Summary and Responsibilities Job Summary / Purpose The SSRM Data Analytics Engineer serves as ... As one of the nation's largest nonprofit Catholic healthcare organizations, CommonSpirit Health ...

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Nonprofit Data Analytics information

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$54

$94

How much do nonprofit data analytics jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for nonprofit data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Nonprofit Data Analytics professional, and why are they important?

To thrive in Nonprofit Data Analytics, you need strong analytical abilities, experience with data management, and typically a degree in statistics, data science, or a related field. Proficiency in tools such as SQL, Excel, data visualization software (like Tableau or Power BI), and possibly nonprofit-specific CRM systems (e.g., Salesforce, Raiser’s Edge) is commonly required. Excellent communication, critical thinking, and a passion for mission-driven work help professionals translate insights into impactful action. These skills are vital for making data-driven decisions that maximize a nonprofit's effectiveness and resource allocation.

What is the difference between Nonprofit Data Analytics vs Nonprofit Data Coordinator?

AspectNonprofit Data AnalyticsNonprofit Data Coordinator
Required CredentialsBachelor's degree in data analysis, statistics, or related field; experience with data toolsBachelor's degree in nonprofit management, social sciences, or related field; administrative experience
Work EnvironmentData-focused roles within nonprofit organizations, analyzing large datasetsAdministrative and coordination roles, supporting program activities
Employer & Industry UsageUsed in nonprofits with a focus on data-driven decision makingCommon in nonprofit program management and administrative departments

Nonprofit Data Analytics involves analyzing data to inform strategic decisions, requiring technical skills in data tools. Nonprofit Data Coordinator focuses on supporting program activities and administrative tasks. While both roles serve nonprofits, Data Analytics is more technical and data-driven, whereas Data Coordinators handle coordination and support functions.

What are some common challenges faced by professionals working in Nonprofit Data Analytics, and how can they be addressed?

A common challenge in Nonprofit Data Analytics is dealing with limited or inconsistent data, as nonprofits often have resource constraints and less standardized data collection processes than for-profit organizations. Analysts may need to work closely with program staff to improve data quality and establish effective reporting practices. Additionally, translating complex findings into actionable insights for non-technical stakeholders is crucial. Building strong communication skills and fostering cross-departmental collaboration can help overcome these challenges and maximize the impact of data-driven decisions.

What is nonprofit data analytics?

Nonprofit data analytics is the process of collecting, analyzing, and interpreting data to help nonprofit organizations make informed decisions, measure impact, and improve their programs and fundraising strategies. By leveraging data from sources like donor databases, program outcomes, and community needs assessments, nonprofits can identify trends, optimize resource allocation, and demonstrate their effectiveness to stakeholders. This approach enables nonprofits to better achieve their missions and increase transparency and accountability.
More about Nonprofit Data Analytics jobs
What cities are hiring for Nonprofit Data Analytics jobs? Cities with the most Nonprofit Data Analytics job openings:
What states have the most Nonprofit Data Analytics jobs? States with the most job openings for Nonprofit Data Analytics jobs include:
Infographic showing various Nonprofit Data Analytics job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

$135K - $150K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Description

GlobalGiving is a nonprofit that connects donors with community-led organizations around the world. We have accumulated rich data across our donor marketplace and nonprofit partner network over many years - and we're looking for a senior, hands-on data leader to help us unlock its full potential. This is a high-impact individual contributor role reporting directly to senior leadership, with the opportunity to build a team over time.


We have a collaborative work atmosphere where everyone's input and ideas are valued. We're committed to work-life balance and offer everyone opportunities to learn, experiment, and grow. Since creative, enthusiastic employees are our most valued resource and the basis for our success, we take great care in how we attract, hire, and support our employees for a successful career. If you care about collaboration, curiosity, communication excellence, and continuous improvement, this position is right for you.


Primary Responsibilities

Executive Partnership & Discovery

  • Conduct structured discovery interviews with executives and functional leaders to surface the key business questions our data currently can't answer
  • Translate those questions into a prioritized roadmap of data model changes, instrumentation gaps, and analytics deliverables
  • Serve as the primary translator between business strategy and data architecture - making complex tradeoffs legible to non-technical stakeholders

Data Modeling & Architecture

  • Audit our existing data model across Salesforce CRM and our cloud data warehouse, identifying structural gaps, inconsistencies, and debt
  • Design and implement a revised data model that reflects the realities of a multi-sided marketplace (donors and nonprofits), including transaction data, engagement signals, and partner performance metrics
  • Own and evolve our dbt project: write, document, and test transformation logic that produces reliable, trusted data assets

Data Engineering & Operations

  • Work with our engineers to manage and improve our ETL pipelines, ensuring clean, timely data flows from source systems (Salesforce, payment processors, web analytics, etc.) into the warehouse
  • Define and enforce data quality standards, including validation rules, alerting, and documentation practices
  • Evaluate and recommend tooling changes where the current infrastructure is limiting analytical capability

Analytics & Reporting

  • Build and maintain executive dashboards and self-serve reporting that allow leadership to monitor KPIs without analyst bottlenecks
  • Proactively surface insights about donor behavior, nonprofit partner performance, and platform health
  • Partner with leadership to identify where data can unlock new strategic objectives during goal-setting cycles
  • Establish a culture of data literacy across the organization through documentation, training, and accessible tooling
  • Serve as an analytics and reporting consultant to internal departments

Data Governance

  • Establish lightweight but effective data governance practices, including shared KPI definitions, source-of-truth standards, metadata documentation, and stewardship responsibilities across teams


#JT26

Requirements

Required Qualifications

For our team to be a great fit for you, the following qualifications should resonate with you:

  • 10-15+ years of experience in data engineering, analytics engineering, or data science roles, with at least 3 years in a senior or lead capacity
  • Proven experience operating as a one-person or founding data team - someone who has owned the full stack from raw data to executive dashboard without heavy support infrastructure
  • Deep hands-on proficiency with dbt and a modern cloud-based data warehouse solutions (Snowflake, BigQuery, or Redshift)
  • Strong SQL and Python skills, and comfort writing, reviewing, and debugging complex transformation logic, or lightweight modeling tasks
  • Demonstrated ability to interview non-technical stakeholders, extract latent data requirements, and turn them into a concrete technical roadmap
  • Experience designing or significantly refactoring a data model in a production environment
  • Excellent written and verbal communication; able to present findings and recommendations credibly to a CEO and Board
  • A passionate belief in the mission of GlobalGiving and a commitment to our core values.

Preferred Qualifications

In addition, the ideal candidate would also have some or all of the following qualifications:

  • Experience with a marketplace platform
  • Familiarity with donor management, fundraising metrics, or nonprofit financial data
  • Experience building or evaluating a B2B data product (e.g., an external API or data feed sold to corporate customers)
  • Proficiency with a BI/visualization layer tool such as Looker, Metabase, Mode, or Tableau
  • Experience with MySQL and Redshift for data storage, data warehouse solutions, and GitHub for version control.
  • Hands-on experience integrating and modeling Salesforce data, including familiarity with its object model and common CRM data quality challenges
  • Fluency using AI tools such as Claude Code and GitHub Copilot.
  • Prior experience in a mission-driven organization and genuine alignment with GlobalGiving's work connecting donors to underserved communities worldwide
  • Experience hiring and growing a data team from scratch

Salary + Benefits

Starting salary range: $135,000 - $150,000, depending on experience


Benefits include flexible work hours, remote work options, up to 5 weeks of paid time off per year, professional development opportunities, and a meaningful job where you can go home at night and say, "Today, my work helped more than 700 kids get their essential health and educational needs met." (One of many true stories.) And, of course, we've also got you covered with benefits like health care, dental/vision, paid family leave, commuter benefits, and 401 (k).


Location

This is a full-time position reporting to the SVP, Product. GlobalGiving is a hybrid workplace in Washington, DC, and we seek strong candidates who wish to work remotely as long as most of the workday overlaps with US/Eastern time. When applying as a remote worker, be prepared to speak about your experience with remote employment in the recruitment process.


Applicants must reside in the United States. Applicants must be able to demonstrate that they have legal authorization to work in the United States for the duration of this permanent position. GlobalGiving does not sponsor employment visas. 


We are an equal opportunity employer and value diversity in our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.