• Develop and maintain data analysis workflows using Python • Extract and process data from JSON-based REST APIs, SOAP services, and SFTP data feeds • Clean, validate, and transform data to support reporting and analytics use cases • Collaborate with engineering and business teams to understand data requirements • Troubleshoot data issues related to API integrations and file transfers • Document data flows, logic, and assumptions clearly

• Architect and execute co‑marketing campaigns internally and with partners • Lead the design and execution of Sandboxx’s first end-to-end impact analytics framework. • Transform user engagement data into measurable insights that connect communication, family support, and military outcomes. • Build predictive and prescriptive models that identify the factors most correlated with improved performance and reduced attrition. • Develop dashboards and visualization tools that translate complex data into accessible, actionable stories for both leadership and partners. • Quantify Sandboxx’s economic and operational impact through defensible cost avoidance and efficiency models. • Deliver executive-ready briefs, summaries, and presentations that position Sandboxx as a trusted, data-informed partner. • Establish long-term data practices, documentation, and training that allow internal teams to sustain analytics growth after contract completion.

• Design Scalable Financial Data Solutions – Develop robust data models, pipelines, and reporting systems that drive informed decision-making across teams. • Ensure Compliance & Governance – Embed “compliance by design” principles to uphold SOX standards, streamline audits, and enforce data governance. • Champion Data Integrity – Establish rigorous validation and monitoring frameworks to ensure accuracy, consistency, and reliability in financial data. • Lead & Develop Talent – Build, mentor, and scale a high-performing analytics team, fostering a culture of innovation and excellence. • Drive Cross-Functional Collaboration – Partner with Finance, Accounting, and Engineering to align data strategies with business objectives and operational needs. • Leadership Communication – Presenting insights and recommendations to senior leadership in a clear, impactful manner. • Cross Functional Collaboration – Partnering with stakeholders and product managers to translate requirements into scalable system designs.

• Lead end-to-end delivery of strategic analytics programs spanning multiple teams or business domains. • Architect scalable and reusable analytics solutions, including data pipelines, semantic models, and KPI frameworks. • Design and evangelize measurement strategies that drive alignment on goals and performance metrics. • Guide business-critical decision-making with deep, proactive insights using SQL, Looker, and statistical modeling. • Serve as an expert advisor to executives and senior leaders on data strategy and analytics capabilities. • Influence cross-functional partners to prioritize and integrate data-informed decision-making across initiatives. • Drive the evolution of internal analytics infrastructure, standards, and governance. • Coach and mentor analysts across teams; lead communities of practice and best-in-class knowledge sharing. • Represent the Analytics function in cross-org strategic planning and OKR development.