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Nonprofit Data Analytics Jobs (NOW HIRING)

Chapa-De

Leader of Data and Analytics

Auburn, CA · On-site

$118K - $140K/yr

Lead the development of analytics and reporting solutions that translate data into actionable ... Chapa-De is a non-profit community outpatient health center with a mission to advance the health ...

Chapa-De

Leader of Data and Analytics

Auburn, CA

$118K - $140K/yr

Lead the development of analytics and reporting solutions that translate data into actionable ... Chapa-De is a non-profit community outpatient health center with a mission to advance the health ...

Fm Talent Source

Data Analyst

Atlanta, GA · On-site +1

... non-profit organizations. Founded in 2004, we have a strong history of providing recruitment ... Bachelor's degree in data analytics, statistics, information systems, public administration, or ...

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How much do nonprofit data analytics jobs pay per hour?

As of Aug 8, 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?

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:
What job categories do people searching Nonprofit Data Analytics jobs look for? The top searched job categories for Nonprofit Data Analytics jobs are:
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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Science Vice President - Card Data Analytics

JPMorgan Chase & Co.

Wilmington, DE • On-site

$128K - $200K/yr

Full-time

Medical, Retirement

Re-posted 3 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description


You can help shape how data and AI drive decisions across our Credit Card business. You will work on high-impact problems end-to-end-translating business questions into analytical approaches, building models and solutions, and communicating insights that influence strategy and outcomes. Join a collaborative team where your work can directly improve customer and business experiences through responsible, scalable analytics.
As a Data Science Vice President at JPMorganChase within the Card Data & Analytics team, you will develop analytics and AI/ML solutions that support strategic initiatives and measurable business impact. You will partner across the Card organization to define problems, scope solutions, and deliver high-quality analytical products. You will combine consulting, data science, and programming to drive data science and analytics strategies and deliver actionable insights.
Job responsibilities
  • Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI
  • Drive data science and analytics strategies, including recommendations on analytical products and standards
  • Help partners define business problems and scope analytical solutions
  • Build an understanding of problem domains and available data assets
  • Research, design, implement, and evaluate analytical approaches and models, including Generative AI-based methods
  • Perform exploratory statistics and data mining tasks on diverse datasets
  • Communicate findings and obstacles to stakeholders to drive delivery to market
  • Develop subject matter expertise in financial and operational domains
  • Code solutions using strong programming skills
  • Collaborate across teams to deliver the best solutions for clients

Required qualifications, capabilities and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 2+ years of experience
  • Exceptional analytical, quantitative, problem-solving, and communication skills
  • Intellectual curiosity for solving business problems
  • Leadership and collaboration skills
  • Knowledge of statistical software (for example, Python, R, SAS) and data querying languages (for example, SQL)
  • Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails)
  • Experience with modern analytics tools (for example, SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)
  • Ability to convey complex information to technical and non-technical audiences

Preferred qualifications, capabilities and skills
  • Experience with large language model-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for quality, cost, and latency
  • Understanding of key drivers within the credit card profit and loss statement
  • Financial services background
  • Master of Science degree or equivalent

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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