Senior Reference Data Analyst - Finance & Strategy

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. How You Will Contribute • Reference Data Management & Strategy • Drive the execution of efforts to define and structure core reference data elements (beginning with project code) to support consistent, enterprise-wide financial and operational reporting, in alignment with strategic leadership guidance. • Document current state and design future-state models that align with business needs and data governance principles. • Collaborate with finance and business stakeholders to ensure that reference data is organized for actionable insights and accurate reporting across systems and products. • Financial Data Analysis & Reporting Support • Analyze the use of project codes and related reference data across systems and teams, and collaborate with business and FP&A to ensure they meet both business reporting needs and broader strategic visibility requirements. • Partner with business and FP&A teams to ensure data capture is aligned with data governance standards and financial reporting requirements. • Collaborate with FP&A to ensure reports clearly expose reference data, making it easier for stakeholders to understand how data is structured and enabling transparency, effective analysis, and integration into data products. • Identify and surface inconsistencies in how the strategic framework is applied across business teams, providing visibility into how these issues show up in the data, and supporting efforts to align their data with strategic decision-making. • Data Quality & Integration • Partner with data engineers and system owners to ensure reference data flows smoothly between systems (e.g., Snowflake and financial tools like Adaptive). • Partner with other data analysts and engineers to inform the automation and validation of data pipelines to ensure consistent, reliable access to clean data. • Collaborate with the product team to support source-to-target mappings and track data lineage, ensuring high data quality and effective system integration. • Governance & Documentation • Define and maintain documentation for data definitions, naming conventions, and lifecycle management of reference data. • Support data quality programs by helping define validation logic, business rules, and escalation pathways for issues. • Contribute to change management and training efforts to support the adoption of new reference data standards. What You Will Bring • Minimum of 5 years of experience in a data analyst, finance analyst, or business operations role with exposure to enterprise data and financial systems. • Strong understanding of reference/master data concepts and financial data structures (e.g., project codes, dimensions, chart of accounts). • Background in FP&A, strategic reporting, or program-level financial management. • Proficiency in SQL and experience working with data warehouses (e.g., Snowflake). • Proven ability to collaborate across business and technical teams to deliver data-driven insights and improvements. • Clear communicator with strong documentation and analysis skills. • Enthusiasm to contribute to Stand Together's vision and principled approach to solving problems, and a commitment to stewarding our culture, which champions values including transformation and innovation, entrepreneurialism, humility, and respect. Stand Out Candidates Will Bring • Experience working on data transformation, reference data management, or financial system integration projects. • Familiarity with MDM or data catalog methodologies and BI platforms (e.g., Power BI, Tableau). • Exposure to Agile or iterative project delivery. What We Offer • Competitive benefits: Enjoy a 6% 401(k) match with immediate vesting, flexible time off, comprehensive health and dental plans, plus wellness and mental health support through Peloton and Talkspace. • A meaningful career: Join a passionate community of over 1,300 employees dedicated to improving lives and driving innovative solutions to complex social challenges. • Commitment to growth: Thrive in a non-hierarchical environment that empowers employees to discover, develop and apply their unique talents. • Competitive compensation: Our approach rewards the value you create through competitive salaries and bonus opportunities, allowing you to share in the success you help drive. Our Values: Working at Stand Together is different from many other organizations. Our 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 our employees to be entrepreneurial, to innovate, and to continually drive transformation. We believe diversity fuels creativity, broadens knowledge, and helps drive success, and that is why we’re proud to be an Equal Opportunity Employer and strive to treat all employees and applicants with honesty, dignity, respect and sensitivity. 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. 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