Role Description We are seeking a motivated and experienced Product Analyst to support a UK-based employer in analysing product performance and translating data into actionable insights. - Analyse product usage data, user behaviour, and KPIs - Handle data requests, dashboard maintenance, and ad hoc reporting - Communicate effectively with internal teams and external stakeholders across time zones - Use SQL, Mixpanel, Google Analytics, and data visualisation platforms - Support with product roadmap prioritisation and A/B testing analysis Qualifications - 2+ years of experience in product analysis or business intelligence - Proficient in SQL, Excel, and data visualisation tools such as Tableau or Looker - Experience working with UK-based clients or employers is advantageous - Must have a reliable laptop, stable internet connection, and a quiet working environment Requirements - Salary: R32,000/month - 100% Remote

Title: Senior Actuarial Analyst (Pharmacy) Location: New York United States remote Job Description: REMOTE Summary: - Identify opportunities to reduce medical expenses and collaborate with other areas to implement and monitor performance. - Participate in product development, pricing, filing, and rating implementation of new products and strategies. - Develop studies, analyses, and presentation materials needed to appropriately inform decision makers. - Answer questions of less experienced staff. Responsibilities: - Analyze and understand hospital, professional, and drug claim/utilization trends, membership/demographics, and financial variance to budget, and performs various other ad-hoc analyses. - Maintain appropriate controls around models and other work products. - Ensure quality and on time completion of deliverables. - Provide support for coordination of quarterly close activities. - Partner with key stakeholders to develop and finalize valuation methodologies. - Prepare and analyze results and forecasts. - Perform monitoring processes for trends and risk valuation calculations. - Develop efficient and transparent queries to obtain data that is appropriate to the purpose with minimal assistance and oversight. - Make appropriate recommendations to management across teams within the actuarial department. - Proactively ensure the internal and external consistency of all work. - Perform reasonability checks dependent on industry knowledge and experience. - Develop and implement analyses for special projects. - Provide technical and analytical support for both the Actuarial department and internal partners. - Proactively take on additional work as needed by the team. - Perform duties and assignments as directed or required. Qualifications: Education, Training, Licenses, Certifications - Bachelor's degree in Actuarial Science, Mathematics, other physical science, or related finance/business degree required - Associate of the Society of Actuaries required Relevant Work Experience, Knowledge, Skills, and Abilities - 4 - 6+ years of relevant, professional work experience and/or education required - 1 - 2+ years health insurance actuarial experience, preferably in the managed care industry required - Must make sufficient progress toward obtaining actuarial credentials, defined as sitting for a minimum of one exam per year, scoring above a zero, and obtaining at least a combined score of 5 over two consecutive sittings - When unable to meet the progress outlined in the bullet above, the role will be transitioned to a non-Actuarial job title and job description - Comprehensive understanding of actuarial principles and methodologies and strong mathematical and analytical skills required - Excellent communication skills (verbal, written, presentation) required - Strong working knowledge of MS Office including Outlook, Word, Excel, PowerPoint, etc. required - Working knowledge of SQL, R, Python or similar required - Capable with Excel, data extraction, simulations, automation required - Knowledge of reimbursement methodologies required - Capable with Excel, data extraction, simulations, automation. - Knowledge of reimbursement methodologies. Additional Information - Requisition ID: 1000003160 - Hiring Range: $68,040-$118,800

• Participar desde el inicio en procesos de discovery junto con Product Managers, Product Designers y Tech Leads, ayudando a identificar problemas, oportunidades e insights accionables. • Analizar el comportamiento de los usuarios en el producto mediante datos cuantitativos y cualitativos, detectando patrones, fricciones y oportunidades de mejora. • Participar en entrevistas con usuarios, síntesis de hallazgos y validación de hipótesis de producto. • Construir y mantener actualizado el story map del producto junto con el PM, asegurando una visión clara del recorrido de usuario y de las soluciones necesarias. • Redactar y mantener las User Stories del backlog, definiendo claramente el problema, el usuario, la solución esperada y los criterios de aceptación. • Asegurar que las especificaciones funcionales tengan el nivel de detalle adecuado para que el equipo pueda trabajar sin ambigüedades, evitando tanto la falta de contexto como la sobre-documentación. • Revisar críticamente las soluciones antes de entrar en desarrollo, detectando inconsistencias funcionales, casos no cubiertos o posibles impactos sobre otras áreas del producto. • Validar funcionalmente los desarrollos realizados, asegurando que lo implementado resuelve correctamente el problema definido en la User Story. • Gestionar operativamente el backlog, manteniéndolo actualizado, priorizado y alineado con las decisiones del Product Manager. • Documentar decisiones de producto, contexto funcional y criterios utilizados para priorizar o descartar soluciones. • Realizar seguimiento de métricas de producto y generar hipótesis e insights accionables a partir de los datos.

• Automated collection of analytical data from heterogeneous sources and their display on centralized BI dashboards • Regular analysis of the main product metrics for outliers and negative trends • Organization of A / B tests, validation of the quality of their conduct and calculation of results • Analytical support for the generation of product hypotheses • Analysis of raw data arrays to identify growth points, or implicit dependencies of metrics.