• Partner with Product teams to define success metrics, design experiments, and evaluate feature impact • Partner with fractional squad analysts where they exist; serve as the primary analytics partner for squads without dedicated coverage and help evolve our organisational model for product analytics • Be hands-on with analysis, dashboards, and metric development while building the foundations for a scalable product analytics practice • Define, own, and govern product metrics and KPIs in alignment with our company-wide unified KPI framework-ensuring consistency, clarity, and trust in how we measure product performance in alignment with business goals • Build and maintain core product health dashboards in partnership with analytics engineering as we’re transitioning to self-service via Lightdash and maturing our analytics platform • Conduct deep-dive analyses on user behavior, funnel performance, and cohort trends to surface opportunities and diagnose issues • Design and analyze A/B tests and experiments, establishing best practices for experimentation rigor • Translate complex analytical findings into clear recommendations for technical and non-technical stakeholders, including executive leadership • Partner with data and product teams, to define data requirements and ensure product event tracking meets analytical needs

• Serve as a primary analytics lead for multiple restaurant clients, acting as a strategic partner to account and client teams. • Own the narrative behind the data—turning complex datasets into clear, actionable client stories. • Design and deliver performance reporting and media tests, gleaning performance insights tailored to each brand’s unique goals. • Manage and verify data integrity by collating and validating data from multiple client sources to ensure consistent, accurate reporting. • Analyze campaign performance (CRM, loyalty, promotions) and provide recommendations for optimizing engagement and ROI. • Develop guest segmentation models to inform targeting, personalization, and lifecycle strategy. • Evaluate test-and-learn experiments (A/B, multivariate) and translate findings into client-ready presentations. • Measure and optimize performance across paid digital media, owned digital channels (email, app, website), and social platforms. • Partner with media teams and platforms to assess attribution, channel efficiency, and spend performance. • Support financial analysis of marketing initiatives, including incremental revenue, AOV shifts, and LTV. • Partner with clients’ finance or operations teams to align marketing insights with business KPIs. • Help craft forecasts and business cases that guide client investment decisions.

• Provides consulting, analytics, testing, training, and development services to support the Centers for Disease Control and Prevention’s (CDC) National Healthcare Safety Network (NHSN) • Develops and implements novel digital quality measures (dQMs) for hospitals and other healthcare settings • Access and analyze complex data from various sources • Conduct analyses in Python; interpret, summarize, and present findings to relevant stakeholders, including technical, clinical, and product teams • Conduct clinical and operational data analyses using HL7® FHIR®-based data • Perform data-quality checks, develop materials, review documentation, troubleshoot issues, and report results related to FHIR–EHR mapping, patient-identity matching, encounter reconciliation, and clinical-data standardization using HL7 FHIR and other healthcare terminologies • Communicate analytic advice and statistical methodology to clients, management, and staff • Maintain public-health expertise and stay abreast of industry changes and trends • Develop and deliver trainings, project updates, and presentations on NHSN work

• Deliver actionable business intelligence and strategic insights that drive revenue and margin growth across Launch Potato’s digital properties. • Clean, standardize, and document stakeholder-facing dashboards in Looker with aligned definitions and metrics within the first 60 days. • Identify and resolve at least five inconsistencies or discrepancies in reporting logic within the first 90 days. • Partner with FP&A and product teams to ensure 100% alignment between financial and operational data by the end of the second quarter. • Deliver ad hoc strategic analyses with clear financial or strategic recommendations, averaging one per month. • Lead and document improvements to at least two core Looker Explores or dashboard structures to enable scalable self-service by end of H1.