Data Insights Specialist (Part-time)
Double the Donation was founded in 2011 and specializes in cloud-based software focused exclusively on the fundraising needs of nonprofit organizations and educational institutions. We've grown to be the leading provider of fundraising software that helps nonprofits and schools increase revenue through corporate matching gift and employee volunteer grant programs.
Thousands of the largest nonprofits in the world like the American Heart Association, Leukemia and Lymphoma Society, Save the Children, Boys and Girls Club of America, as well as hundreds of the top educational institutions like Emory, UGA, Vanderbilt, Case Western, and University of Virginia rely on our services to effectively grow their employee matching gift program revenue.
As a growing company, every employee plays a huge part in our success!
ROLE
We are seeking a Data Insights Specialist to transform raw and cleaned data into actionable insights that drive strategic decisions. This role will support nonprofit and educational outreach, fundraising strategies, and business development initiatives by identifying trends, segmentation opportunities, and high-value targets.
RESPONSIBILITIES
Analyze datasets to uncover trends, patterns, and opportunities for outreach and engagement
Segment and prioritize nonprofit and educational partners based on potential impact and giving behavior
Develop reports, dashboards, and metrics to inform sales, marketing, and program decisions
Collaborate with data collection and entity resolution team members to ensure accuracy of insights
Continuously refine analytical methods and processes to improve decision-making
SETUP
Part-time, 10hrs/week
Work-from-home setup
REQUIREMENTS
3+ years of professional experience, ideally within SaaS environments
Demonstrated success in previous roles, supported by academic and career achievements
Strong written and verbal communication skills, with the ability to collaborate effectively across teams
PREFERRED SKILLS
Strong SQL and data manipulation skills (e.g., Python/Pandas, Excel Power Query, or similar tools)
Familiarity with matching techniques such as fuzzy matching, probabilistic linkage, and rule-based logic
Experience working with CRMs or data warehouses
Background in data quality, normalization, and data governance best practices
ORG OVERVIEW
With 90+ Filipino team members already thriving in our company, we are excited to expand this growing team with new talent! You'll be working with our product, data, tech teams that are split between the US & Philippines.
There are a few traits unique to our business that individuals should consider before applying.
You must love the idea of giving back to the community and nonprofits. There are thousands of jobs. If being involved in the success of nonprofits is something you’re truly passionate about, this could be a great role.
You must be extremely comfortable with change. As a small growing company, decisions can be made over a weekend and fully implemented by early the next week. Whether that’s new systems, new processes, or new approaches, we look for individuals who can adapt and thrive.
You must believe that the best contributors should get better rewards. As a company, we believe in paying people based on the value they generate at the business.
You must be willing to disagree and commit. As a growing business, there will be lots of decisions that get made and changes that occur during your time at the company. Some of which you’ll agree with and some you won’t, we strongly believe that the best team members have the ability to disagree and commit (i.e., going with a decision after it has been made regardless of whether or not you agree).
You must believe the status quo is unacceptable. As a growing company and as individuals, we believe the status quo is unacceptable. Everyone should be relentless in striving to be the best version of themselves and figure out ways to create more value at the company, enhance our client's results, and grow professionally. The question should always be “How can I be better” rather than “How can expectations be adjusted”.