Mixed Methods Researcher (Fulltime Remote)

• Design and implement mixed-methods studies (surveys, interviews, focus groups, administrative data) using a participatory research framework.
• Lead quantitative and qualitative data analysis in Stata, R, SQL, or Python, ensuring clean and documented code.
• Translate research findings into clear, compelling insights for product, partnership, and policy audiences through reports, memos, and presentations.
• Manage end-to-end research projects, including scope, timelines, resources, and stakeholder communication.

This role directly contributes to improving the financial health of millions of Americans living paycheck to paycheck by generating rigorous evidence that informs product design, policy advocacy, and community programs, ensuring that solutions are grounded in the real needs of low-to-moderate income households.

• 4–6+ years of research experience in nonprofit, academic, government, or private sector settings.
• Proficiency in at least one of Stata, R, SQL, or Python for quantitative analysis; experience with survey design (e.g., Typeform) and qualitative analysis.
• Strong project management skills with ability to handle multiple concurrent workstreams using tools like Asana and Google Workspace.
• Bachelor’s degree in economics, public policy, sociology, data science, or related field (Master’s preferred); experience with financial health or low-to-moderate income populations is a plus.

Full-time remote position with a collaborative and mission-driven team. SaverLife is committed to diversity, equity, and inclusion, offering equal employment opportunities. Specific compensation details are not mentioned in the posting.

SaverLife is a national nonprofit and advocacy organization that uses technology to improve the financial health of people living on low-to-moderate incomes. Through its fintech product, it helps members build savings and financial stability, while leveraging research to bring their voices into system-level conversations.