• Architect and maintain high-fidelity, scalable data models that serve as the foundational truth for both enterprise business intelligence and GenAI applications. • Partner with data engineering, product and business partner teams to define, design, analyze, and report on key drivers that impact performance across the organization. • Identify and communicate the business relevance of data from across the organization, leveraging analytical rigor to establish reliable sources of truth and ensure that business context is accurately captured across all data products. • Partner with the larger Data organization to design easy-to-use, end-to-end enterprise data systems that keep Mission Lane at the forefront of data -based decision-making. • Own the development of self-serve analytics and strategic data products that look beyond the immediate stakeholder requests to proactively reduce manual effort, mitigate technical debt, and accelerate speed to insight. • Define and champion technical standards for analytics engineering to elevate the quality, reliability, and impact of work produced by the broader analytics team.

• Primary author and owner of DTAs — drafting, negotiating, and maintaining data-sharing agreements with clients and partners. • Lead systematic gap analysis between multiple systems to drive data quality and integration decisions. • Serve as a direct client-facing data resource — translating business needs into data solutions and communicating findings clearly to non-technical stakeholders. • Produce clear, accurate written deliverables (reports, documentation, DTA summaries) and lead stakeholder presentations and data reviews. • Own complex SQL queries, data modeling, and analytical reporting across Snowflake and connected data warehouse environments. • Conduct structured gap analyses between source and target data environments, translating complex data findings into actionable insights for both technical and executive audiences.

• Translate marketing performance into business impact by delivering insights that connect campaign metrics to outcomes such as revenue, customer acquisition, and profitability. • Monitor and assess channel performance against forecasts to uncover optimization opportunities and scale high-performing strategies. • Deliver compelling presentations and strategic recommendations to stakeholders at all levels, synthesizing complex data into clear, actionable insights that inform decision-making. • Leverage data, ensuring integrity and accuracy, to uncover actionable insights that inform business strategy and decision-making. • Collaborate with cross-functional teams to identify opportunities, design solutions, and implement initiatives that enhance enterprise value. • Work alongside top-tier professionals to develop, test, and refine strategies that influence key business outcomes. • Contribute in a dynamic, team-oriented environment that values your perspective, supports your growth, and encourages innovation • Maintain constant communication with management and staff to ensure proper operations of the organization • Other duties as assigned.

• Own regular performance tracking across SEM, Meta, and TikTok, monitoring core metrics (CAC, CPA, ROAS) and flagging critical channel shifts. • Maintain and update business intelligence dashboards in Sigma and optimize underlying data models using dbt and GitHub. • Monitor, maintain, and troubleshoot conversion API pipelines across Meta, Google, and TikTok to ensure exact data reliability. • Combine external marketing data with internal business databases to generate detailed analyses, advising channel managers on where to scale back or allocate more budget. • Synthesize intricate channel performance data into clear, concise, and actionable strategic recommendations for stakeholders and executive leadership.