• Recogida de requerimientos con negocio y traducción a soluciones analíticas. • Diseño y definición del modelo físico de datos. • Desarrollo y mantenimiento de la capa semántica en MicroStrategy. • Creación de informes, dashboards y Dossiers interactivos. • Desarrollo y soporte en soluciones de autoservicio guiado (self-service BI). • Administración operativa de la plataforma MicroStrategy (últimas versiones). • Formación y acompañamiento a usuarios finales para impulsar la adopción de la herramienta.

Role Description Milliman’s Health Research Team (HRT) is seeking an experienced and driven Data Analytics Manager. In this role, you will lead a high-performing team of 2–4 data analysts, overseeing all phases of data production with a strong emphasis on data quality, accuracy, and timeliness. The Manager will play a critical role in driving product development deliverables and supporting internal deliverables for client and research projects. This position reports to the Senior Manager, Data Engineering and Analytics. This role is based out of the Milliman office in Chicago, IL, but candidates hired into this role may work remotely anywhere in the US or in the office on a weekly basis with flexible work arrangements. Travel to Milliman’s Chicago office for three consecutive days each quarter is required. Job Responsibilities - Team Leadership & Management - Lead, mentor, and develop a team of 2–4 data analysts, fostering a collaborative and high-performance work environment. - Set clear goals and priorities for the team, ensuring timely and accurate delivery of all assigned work. - Conduct regular one-on-ones, performance reviews, and professional development planning for direct reports. - Manage workload distribution across the team to balance competing priorities and deadlines. - Partner with the PMO team to develop comprehensive project plans, define and document key deliverables, and provide clear, timely project status updates to senior leadership. - Data Quality Analysis - Own and oversee the data quality analysis phase across all data production workflows, ensuring data meets established standards before downstream use. - Develop, document, and continuously improve data quality frameworks, checklists, and standard operating procedures. - Identify, investigate, and resolve data anomalies, discrepancies, and quality issues in health claims and enrollment data. - Partner with project managers, ETL developers and data engineers to communicate data quality findings and support remediation efforts. - Establish and maintain data quality metrics, scorecards, and dashboards to monitor ongoing pipeline performance and communicate findings to stakeholders at all levels. - Product Development Deliverables - Lead the team in producing product development deliverables on schedule and to specification. - Collaborate with senior analysts, actuaries, and health consultants to ensure deliverables align with methodological and business requirements. - Review and validate team output prior to submission, ensuring accuracy, completeness, and consistency. - Client & Research Project Support - Support internal deliverables for client-facing and research projects, coordinating with project leads to understand requirements and timelines. - Assist in the preparation of data summaries, analytical outputs, and supporting documentation for internal and external stakeholders. - Ensure all project deliverables meet data governance, compliance, and contractual requirements. - Process Improvement & Innovation - Proactively identify opportunities to streamline and automate data quality and production workflows, reducing manual effort and improving efficiency. - Implement best practices for quality assurance and testing, including QAT and UAT support. - Stay current with emerging tools, technologies, and methodologies relevant to health data analytics, recommending and championing improvements where appropriate. - Collaborate with HRT finance, operations, and project management teammates through providing technical and healthcare data expertise to support cross-functional initiatives. Qualifications - Bachelor's or Master's degree in Mathematics, Statistics, Actuarial Science, Public Health, Computer Science, or a related quantitative field. - 4+ years of experience analyzing large databases of health claims and enrollment data (e.g., administrative/closed claims data). - 2+ years of experience in a lead or supervisory role, with demonstrated ability to manage and develop analytical talent. - 2+ years of experience performing or overseeing data quality analysis in a production data environment. - Demonstrated proficiency in multiple health care data analytics topics, including but not limited to pricing, provider contracting, Medicare Advantage bids, risk scores, clinical quality, health care economics, reserving, or financial reporting. - Robust business acumen across at least two healthcare lines of business, such as Individual, Employer Group, Medicare, Part D, Medicaid, or Dental. - Advanced proficiency in SQL for data querying, validation, and analysis. - Hands-on experience with Python, SAS, or R for data analysis and workflow automation. - Proficiency in Excel, including advanced formulas, pivot tables, and data validation techniques. - Solid understanding of ETL pipelines, data warehousing concepts, and data governance best practices. - Exceptional attention to detail with an unwavering commitment to data accuracy and integrity. - Excellent organizational and project management skills, with the ability to manage competing priorities in a fast-paced environment. - Travel to Milliman’s Chicago office for three consecutive days each quarter is required. Benefits - Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners. - Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges. - 401(k) Plan – Includes a company matching program and profit-sharing contributions. - Discretionary Bonus Program – Recognizing employee contributions. - Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses. - Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. - Holidays – A minimum of 10 observed holidays per year. - Family Building Benefits – Includes adoption and fertility assistance. - Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria. - Life Insurance & AD&D – 100% of premiums covered by Milliman. - Short-Term and Long-Term Disability – Fully paid by Milliman.

Role Description Protera Health is seeking an experienced Data Analyst to lead and support data operations, reporting, analytics, and customer data management across the organization. This highly visible, cross-functional role will closely collaborate with leadership, operations, product, engineering, and customers. The ideal candidate is passionate about solving complex problems, working with healthcare data, developing reporting infrastructure, and empowering organizations to make better decisions through data. This is a unique opportunity for someone who wants broad ownership in building the data foundation of a rapidly growing healthcare company. Key Responsibilities - Manage customer data implementations and ongoing data operations - Process, validate, and reconcile eligibility, claims, enrollment, and member roster files - Develop and maintain dashboards, reports, and operational metrics - Create engaging, customer-facing reporting and analytics - Analyze healthcare claims, utilization, engagement, and outcomes data - Support data movement across Salesforce, Healthie, reporting systems, and customer platforms - Identify opportunities for automation and process improvement - Participate in customer meetings related to data, reporting, and implementations - Partner with operations, product, and engineering teams to solve business problems using data - Document workflows, reporting logic, and data processes Qualifications - 3+ years of experience in data analytics, healthcare analytics, business intelligence, or related fields - Experience with healthcare claims data - Strong SQL skills - Proficiency with dashboarding and reporting tools - Analytical problem-solving abilities and keen attention to detail - Excellent communication and organizational skills - Ability to work independently in a fast-paced environment - Skill in explaining technical concepts to non-technical audiences Preferred Qualifications - Experience with Salesforce data and reporting - Experience with healthcare eligibility and enrollment data - Background in healthcare, digital health, health plans, or value-based care - Experience with data warehousing and ETL processes - Startup experience - Familiarity with predictive analytics or statistical modeling Benefits - Fully remote (United States) - Competitive compensation based on experience - Bonus opportunity - Equity opportunity - Healthcare benefits - PTO - 401(k)

• Translate broad questions into well-defined analytic approaches, including defining populations, time windows, comparison groups, and appropriate methodologies; • Provide ad-hoc analyses to drive insights, provide overviews of major conclusions, constraints or cautions; • Serve as a technical liaison and subject matter expert for complex analytic questions; • Recommend best courses of action based on analytic findings, tradeoffs, and business constraints; • Apply working knowledge across multiple disciplines (analytics, statistics, data engineering, business context) to create innovative solutions; • Collaborate with researchers, data scientists, reporting, and business stakeholders to define goals, success metrics, and analytic approaches; • Leverage DBT, SQL, Python and GitHub to extract, transform, and analyze large complex datasets; • Provide support for products and applications powered through dashboard and reporting services; • Process confidential data and information according to guidelines.