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Nonprofit Data Analytics Jobs (NOW HIRING)

HCVT

Senior Data & Analytics Specialist

Fort Worth, TX · On-site

... Nonprofit Organizations, and Affordable Housing. We Live Our Core Values Our values guide us in our ... About the Role The Senior Data & Analytics Specialist is responsible for designing, building, and ...

Newfields

Manager of Data Analytics

Indianapolis, IN · On-site

$60K - $70K/yr

Manager, Data & Analytics Department: Technology FLSA Status: Exempt Salary: $60,000 - 70,000 Key ... Nonprofit, cultural institution, hospitality, or attractions-industry experience is a plus ...

HIAS Inc

Development Data Specialist

Silver Spring, MD · On-site

$65 - $75/hr

Experience with Crystal Reports, RENXT analytics tools, and Power BI/Fabrice is a plus. * Strong working knowledge of nonprofit data hygiene best practices, including NCOA/CASS processing ...

Sustainable World, Inc.

$135 - $231/hr

... public, non-profit, and private sectors. Seeking a dynamic, goal-oriented Director, Data Analytics to work on health and human services projects requiring intermediate SAS, R, Python, or SQL ...

Texas Health Institute

$135 - $231/hr

... public, non-profit, and private sectors. Seeking a dynamic, goal-oriented Director, Data Analytics to work on health and human services projects requiring intermediate SAS, R, Python, or SQL ...

Reingold Inc

Director of Data & Analytics

Alexandria, VA · On-site

$110 - $176/hr

... nonprofit, or business sector -- as they strive to make the world a better place. We hire top-notch ... Bring data to life through compelling storytelling, turning complex analytics findings into clear ...

Reingold Inc

Director of Data & Analytics

Alexandria, VA · On-site

... nonprofit, or business sector -- as they strive to make the world a better place. We hire top-notch ... We're looking for a data and analytics leader to own the architecture, modeling, and measurement ...

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Nonprofit Data Analytics information

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How much do nonprofit data analytics jobs pay per hour?

As of Sep 4, 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 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.

What are the key skills and qualifications needed to thrive as a nonprofit data analytics professional?

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 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 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.

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What states have the most Nonprofit Data Analytics jobs?

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What job categories do people searching Nonprofit Data Analytics jobs look for?

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Nonprofit Data Analytics jobs near you
Infographic showing various Nonprofit Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Senior Data & Analytics Specialist

HCVT

Westlake Village, CA • Hybrid

Full-time

Posted 17 days ago

Key responsibilities

  • Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data lakes, semantic models, and data pipelines.

  • Develop modern analytics solutions such as dashboards, KPIs, and operational reports using Power BI and Microsoft Fabric.

  • Apply statistical analysis, predictive modeling, and machine learning techniques to solve complex business problems and support strategic decision-making.

Job description

Come for the Challenge. Stay for the Experience.
At HCVT, we believe every challenge presents an opportunity to positively impact our clients and people. Talented and ambitious individuals who seek limitless professional opportunities thrive at HCVT. Our team is known for its technical skill and ability to help clients address complex business issues all while investing in and supporting our people to provide a rewarding employee experience.
 
What We Do and Who We Serve
We offer Tax, Audit, Advisory, and Business Management services to our clients, which include private and public companies, high-net-worth individuals, and family offices. We also specialize in serving clients across the following industries: Private Equity, Real Estate & Hospitality, Media & Entertainment, High-Net-Worth Individuals, Manufacturing & Distribution, Professional Services Firms, Technology, Healthcare, Nonprofit Organizations, and Affordable Housing.  
 
We Live Our Core Values
Our values guide us in our day-to-day interactions with our clients and each other-Integrity at our Core; Building Success Together; Passion for Excellence; and Diversity, Equity, & Inclusion. We are focused and committed to the needs of our clients and our team.
 
Discover How Far You Can Go.
Opportunities abound at HCVT. Our firm has experienced steady growth since its founding in 1991 and continues to expand its client service offerings, creating new opportunities for professionals to grow their careers. We make significant investments in training and provide interesting, diverse, and intellectually stimulating work for our teams-the kind of work that helps you develop and refine your skills to advance in the profession. 
 
Hybrid Work
HCVT currently offers a hybrid work model that allows eligible employees to work both remotely and in the office, based on business needs and team coordination. When working remotely, employees are expected to meet the same performance standards, adhere to the same policies, and maintain the same level of communication, collaboration, and responsiveness as working in the office. Please note that this arrangement is not guaranteed and subject to change at any time. We will strive to provide reasonable notice of any changes to your work location or schedule whenever possible.

About the Role

The Senior Data & Analytics Specialist is responsible for designing, building, and advancing the firm's enterprise data and analytics capabilities. This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data assets. Working closely with business and technology leaders, the position transforms enterprise data into trusted information that improves decision-making, operational efficiency, and client outcomes.

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following:
  • Enterprise Data Platform & Engineering: Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data lakes, semantic models, and data pipelines. Build scalable ETL/ELT processes that integrate information across Finance, Tax, Audit, Advisory, Operations, and other business systems while ensuring data quality, reliability, governance, and performance. Define data models, standards, and architecture that support reporting, analytics, machine learning, and AI initiatives.
  • Data Analytics & Business Intelligence: Develop modern analytics solutions that provide meaningful insights into business performance and operations. Design and deliver executive dashboards, KPIs, operational reporting, and self-service analytics using Power BI and Microsoft Fabric. Partner with business stakeholders to translate analytical requirements into scalable reporting solutions while establishing best practices for data visualization, metric definitions, and analytics governance.
  • Advanced Analytics & Data Science: Apply statistical analysis, predictive modeling, forecasting, and machine learning techniques to solve complex business problems. Build analytical models that improve operational efficiency, identify trends, predict outcomes, and support strategic decision-making. Evaluate model performance, improve accuracy, and operationalize analytical solutions for enterprise use.
  • AI-Ready Data & Intelligent Solutions: Develop governed, high-quality data assets that enable AI applications, intelligent automation, and generative AI solutions. Support modern AI capabilities through semantic models, vector-ready datasets, retrieval pipelines, and data preparation processes that improve the accuracy, reliability, and scalability of AI-enabled business solutions. Partner with software engineering teams to integrate analytics and machine learning capabilities into enterprise applications and AI agents.
  • Technical Leadership & Data Strategy: Provide technical leadership in enterprise data architecture, analytics technologies, and modern data engineering practices. Evaluate emerging tools and technologies, recommend improvements to the firm's data ecosystem, and contribute to the long-term analytics and AI strategy. Promote engineering best practices, data governance standards, automation, and continuous improvement across the analytics platform.
We expect that our Senior Data & Analytics Specialist will have the following qualifications:
  • 5+ years of progressive experience in data engineering, data analytics, data science, business intelligence, or related technical disciplines.
  • Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.
  • Strong experience designing relational databases, dimensional models, data warehouses, and scalable data pipelines.
  • Advanced proficiency with SQL and Python, including data transformation, automation, and analytical development.
  • Experience designing and implementing ETL/ELT processes, data integration solutions, and enterprise data models.
  • Working knowledge of statistical analysis, predictive modeling, machine learning, and model evaluation techniques.
  • Knowledge of DevOps, CI/CD, Git, and Infrastructure-as-Code practices for analytics platforms.
  • Experience with data governance, data quality, metadata management, and enterprise analytics best practices.
  • Strong analytical thinking, technical problem-solving, and the ability to translate business requirements into scalable data solutions.
  • Excellent communication skills with the ability to explain complex technical concepts to business stakeholders.
Preferred Qualifications
  • Experience within professional services, consulting, financial services, or public accounting.
  • Hands-on expertise with Microsoft Fabric, Azure Data Platform, Power BI, or comparable cloud-based analytics platforms.
  • Experience with AI-enabled data architectures, RAG pipelines, semantic search, vector databases, or LLM-powered applications.
  • Experience building production machine learning or advanced analytics solutions.
  • Master's Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.
You Matter - HCVT provides a variety of benefits and perks that help sustain a healthy and thriving work environment.
  • Visit the Benefits section to learn more.
This salary range is specific to the state(s) listed and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill set and education; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the range for this position is $123,000 to $150,000.
 
Connect with us: 
LinkedIn, Instagram, Facebook, HCVT Website
 
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The ordinance requires employers to state, in all job solicitations, postings and advertisements, that the employer will consider applicants in a manner consistent with the requirements of the Fair Chance Initiative.  
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About HCVT

Sourced by ZipRecruiter

Industry

Accounting services

Company size

501 - 1,000 Employees

Headquarters location

Camarillo, CA, US

Year founded

1991

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