• Define and maintain product adoption and feature usage metrics across Tithely’s product suite, ensuring data is easily accessible and self-serve for Product Managers • Build, standardize, and own product performance dashboards within BI tools to provide consistent visibility across all products • Design, implement, and analyze A/B tests end-to-end, and establish a scalable experimentation framework for the EPD organization • Instrument and analyze user flows and funnels to identify friction points, drop-off, and opportunities for product improvement • Partner closely with Product Managers to deliver timely, high-quality ad hoc analyses that inform product decisions • Collaborate with Engineering, Product, and Design during feature discovery to define tracking strategies, including event schemas, properties, and data relationships that enable meaningful insights while minimizing technical debt • Act as a “bilingual” technical partner, translating product requirements into clear data and tracking specifications for Engineering, while ensuring alignment with Data & Analytics modeling standards

• Leading complex analysis to develop actionable and innovative recommendations for achieving growth and profitability targets in the responsible states. • Proactively assessing market risks and opportunities, evaluating multiple possible solutions, and maximizing data-based insights to influence the decisions. • Using tools like Snowflake, SQL, Microsoft Excel, Essbase to access and analyze large amounts of data (may also use other tools such as SAS, PowerBI, Python, etc.) • Understanding and communicating the overall performance and strategy of personal lines auto and property products in your assigned markets. • Quantifying catastrophe risk and identifying risk management strategies. • Building annual revenue plans and explaining variances to these plans. • Working cross-functionally with partners across the organization, including Marketing, Actuarial, Finance, and others, to support the development, design, and implementation of new products, programs, and processes. • Delivering effective presentations of findings to multiple levels of internal and external stakeholders, adapting the content as appropriate. • Providing guidance and mentorship to junior analysts.

• Recibir y realizar los análisis de muestras de, producto en proceso, producto terminado local e importado, muestras del programa de estabilidades a largo plazo, estabilidades aceleradas y análisis especiales. • Preparación de soluciones empleadas en los análisis, así como ejecutar validaciones, co-validaciones, verificaciones y transferencias de métodos analíticos. • Reportar los resultados analíticos obtenidos de los análisis siguiendo los procedimientos establecidos y las normas de GMP´s vigentes. • Elaborar y/o emitir, protocolos y reportes de validación, verificación de métodos y transferencias de métodos analíticos (Test Method Transfer). • Realizar la auto-capacitación en las actualizaciones respectivas de los procedimientos y manuales de Operación • Realizar investigaciones de laboratorio, reportes de investigación de laboratorio (LIR’s) y reportes de excepción (RE’s).

• Own the measurement foundation: establish and evolve our core product metric definitions (activation, engagement/session definitions, retention) and keep them consistent across teams. • Enable self-serve analytics: build blueprints and standards that make analytics self-serve for PMs and Engineering. • Partner with PMs and Engineering: act as a consulting/sounding-board partner—help shape hypotheses, interpret results, and drive decisions. • Improve reporting trust: build lightweight process and governance so data issues are caught early. • Metric systems: define and maintain a metric ladder that connects leading indicators to business outcomes (retention, activation, revenue). • Funnels & journeys: analyze onboarding, activation, and key workflows; identify drop-offs and highest-impact fixes. • Engagement & retention: cohort analysis, feature adoption, stickiness, and power-user behaviors. • Experimentation & evaluation: partner on experiment design, success metrics, and post-launch readouts. • Dashboards & narratives: create dashboards that drive action and write clear readouts that help teams make decisions quickly.