• Deliver monthly and quarterly Power BI dashboards for Leadership, Board, and Regional team • Analyze and report on campaign, channel, and funnel performance • Identify gaps or inconsistencies in attribution data • Monitor data integrity between HubSpot and Salesforce • Build, maintain, and iterate Power BI dashboards • Manage interim connectors and support the transition to Mulesoft • Use SEMrush, Google Ads, and LinkedIn Ads to measure SEO rankings • Train regional marketers on dashboard use and interpretation • Collaborate with Growth Marketing, Sales Ops, and ICT to ensure analytics insights are aligned with business needs • Translate data into compelling narratives for executives and practitioners

• Own and enhance BI infrastructure • Administer and optimize our Snowflake data warehouse (roles, performance, cost control, governance). • Maintain and scale dbt projects including core models, tests, documentation, semantic modeling, and deployments. • Manage GitLab pipelines/runners to support robust CI/CD for BI assets. • Oversee job scheduling and orchestration for BI transformations and data flows. • Own ingestion pipelines relevant to BI data needs. • Bridge the gap between Data Engineering and BI • Collaborate with Data Engineering to understand upstream mesh data products with BI analysts to understand business logic, metrics definitions, and performance targets. • Extend mesh data into curated BI data layers optimized for analytics. • Design data structures that support accurate, scalable analytics (fact tables, dimensions, semantic layers). • Participate in architectural decisions to align upstream pipelines with downstream analytical requirements. • Deliver data experiences to end users • Build custom solutions (APIs, extracts, materialized datasets, governed marts) to deliver data in the right format for each use case. • Implement robust testing, monitoring, and reliability processes for BI pipelines. • Ensure fast, reliable data availability for business stakeholders. • Support and guide BI initiatives • Partner with BI Analysts to maintain a reliable modeling environment and help unblock analytical workflows. • Recommend the most effective data modeling approaches and development processes, considering business priorities and resource limits. • Participate in tooling evaluations and decisions, ensuring solutions fit BI use cases and organizational architecture. • Provide clarity in ambiguous situations and advise leadership on risks, dependencies, and sequencing of work.

• Lead the creation of metrics that provide insight and help with decision-making • Develop high-impact dashboards and analyses to build visibility into the health of our ad platform • Facilitate information self-service to business users through data pipelines and custom analytic tools • Collaborate effectively with senior analytics engineers and cross-functional partners to identify gaps or opportunities

• Own dbt projects across public health, behavioral health, Medicaid, maternal/child health, and SDOH domains. • Create and manage semantic models, data contracts, macros, and versioned transformations. • Define and govern reusable metrics: dimensions, denominators, time logic, risk adjustment, and composite measures. • Build star schemas and conformed dimensions optimized for Power BI, including RLS and deployment pipelines. • Work closely with Data Platform Engineers to ensure pipelines are analytics-ready and performant. • Lead design and delivery of executive-ready dashboards using Power BI, with strong UX and accessibility (Section 508). • Build dashboards in Power BI (primary) with optional support for Tableau/Looker. • Translate complex methods—equity stratifications, quasi-experimental results, small-area estimation, NLP outputs—into policy-ready visuals. • Create ML explainability dashboards (SHAP, LIME, bias metrics, drift/calibration). • Partner with creative and UX teams to produce visually compelling and context-appropriate designs. • Implement rigorous validation and BI QA (dbt tests, performance testing, dashboard monitoring). • Maintain a centralized metrics catalog, semantic dictionary, and visualization standards. • Manage BI versioning, documentation, and data lineage in alignment with federal requirements. • Develop Power BI themes, navigation patterns, KPI templates, and reusable dbt + BI starter projects. • Develop and deliver training for Analytics Engineering and BI best practices. • Provide pairing sessions, workshops, and visualization coaching across divisions. • Publish accelerator packages (dbt bundles, semantic models, Power BI templates) to improve delivery speed. • Instrument BI usage analytics and run structured feedback cycles with stakeholders. • Time-to-dashboard ≤ 4 weeks from modeled data to stakeholder review. • Dashboard adoption, usage, and stakeholder satisfaction. • Increased metric standardization and catalog coverage. • Reuse of templates and semantic models across ≥3 divisions.