• Collect, clean, validate, and analyze large datasets across financial and operational systems to support metrics, dashboards, and decision-making. • Develop and maintain data visualizations, dashboards, and automated reports using tools such as Power BI and Excel. • Perform data reconciliation, quality assurance checks, and financial system research to resolve discrepancies, interpret trends, and ensure data integrity. • Maintain invoicing records, funding documentation, and contract tracking measures while leveraging analytics to identify anomalies or risks. • Conduct internal and agency audits to ensure compliance with contract usage, funding, and financial regulations. • Collaborate with technical teams on Power Platform solutions, including Power Apps, Power Automate, and process automation initiatives. • Identify and implement process improvements to enhance data pipelines, reporting workflows, and analytical efficiency. • Present insights, performance trends, and operational metrics to stakeholders in a clear and structured format, supporting decision-making and team training.

• 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