Stand Together is a philanthropic community that helps America’s boldest changemakers tackle the root causes of our country’s biggest problems, from education to the economy, broken communities, and toxic division, among dozens of other pressing
issues. We provide our partners with access to resources including funding, thought leadership, a network of peers, and a playbook for applying proven principles to transform lives and society.
We are building a modern Reference and Master Data Management (RDM/MDM) capability within our Enterprise Data & Information (EDI) team, starting with foundational financial and strategic data. As our Senior Reference Data Analyst – Finance & Strategy, you’ll play a key role in shaping how we manage and automate essential data—starting with project codes that fuel enterprise reporting, financial planning, and business alignment.
You will partner closely with Finance & Data leadership to strategize and execute against a long-term, transformational vision while also managing current-state processes. You’ll help us bring clarity, consistency, and scalability to how we use financial reference data across the organization.
Our Values: Working for an organization within the Stand Together philanthropic community is different from many other places. The culture is deeply rooted in Principle Based Management® (PBM®), a framework guided by the principles that drive human progress, such as dignity, openness, and bottom-up empowerment. PBM® empowers employees to be entrepreneurial, to innovate, and to continually drive transformation.
We believe diversity fuels creativity, broadens knowledge, and helps drive success. That is why we’re proud to be an Equal Opportunity Employer and strive to treat all employees and applicants with honesty, dignity, and respect.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
