• Monitor Utilization Management and Case Management activities through the development of KPIs and benchmarks (i.e. member engagement rates, readmissions, preventable hospitalizations, ER utilization) • Develop statistical models that deliver meaningful insights on cost, utilization and clinical outcomes based on various data sources. • Develop algorithms for stratifying populations and identifying high-risk members. • Leverage Predictive Analytics to measure the performance (ROI) of Disease Management and other Medical Management programs. • Conduct prospective savings analyses in support of clinical program initiatives. • Build and maintain client-facing reports, dashboards, and analyses. • Develop actionable data insights and advise on client strategy. • Participate in program performance review presentations with clinical program managers, client account managers, and external clients, as needed. • Manage internal and external client requests and timelines to ensure timely delivery. • Collaborate with Medical Management to provide ongoing support.

• Define and drive product strategy, roadmap, and priorities for AI, analytics, data fusion, and intelligence-related product capabilities. • Translate complex customer, operational, and business needs into clear product requirements and priorities. • Work closely with engineering to shape feasible, valuable, and scalable product solutions. • Partner with sales, pre-sales, customer-facing teams, and leadership to understand customer needs, market opportunities, and commercial priorities. • Balance long-term product vision with short-term delivery needs in a fast-changing environment. • Identify opportunities for innovation, product differentiation, automation, and better use of AI/data capabilities. • Use customer feedback, user behavior, product data, and market insights to improve product value, usability, and adoption. • Conduct competitive analysis and evaluate external products, APIs, integrations, and technologies that could enhance our product offering. • Manage stakeholder expectations, align conflicting priorities, and drive clear product decisions. • Support product adoption across different markets, customers, and use cases.

Role Description Nakupuna Services is seeking to hire a Business Data Analyst / Data Engineer to support the Defense Health Agency (DHA) Defense Medical Logistics Standard Support (DMLSS) Database Sustainment Specialist (DSS) Support contract. This position provides enterprise data analysis, engineering, and business intelligence support to the Program Manager, Technical Managers, AOR Managers, and DHA stakeholders. The Business Data Analyst / Data Engineer supports program execution by developing and maintaining data pipelines, integrating multiple facilities and logistics data sources, and producing dashboards and analytical products that enable data-driven decision-making. This role analyzes and organizes enterprise data from systems such as DMLSS/LogiCole FM, FROID, RPSS, and BUILDER to support the FOB SOT reporting database environment and enterprise reporting requirements. The position collaborates with stakeholders to ensure data quality, documentation standards, and consistent data governance practices while supporting business intelligence strategies across the DHA Facilities Enterprise. - Analyze and organize raw data from multiple sources including DMLSS/LogiCole FM, Facilities Requirements, Operations, Investment, and Data (FROID), Real Property Systems Standard (RPSS), and BUILDER Sustainment Management System (BUILDER SMS) into the FOB SOT reporting database environment. - Build and maintain data systems and pipelines using SQL and Microsoft Power Query to ensure data reliability and quality. - Interpret key business datasets and provide actionable recommendations to improve data process flow (data capture, data QA/QC, and data distribution). - Develop and maintain dashboards and reporting products using Power BI, Tableau, and other related visualization tools to present data-backed insights. - Support business intelligence strategies through quantitative analysis and business-focused reporting. - Perform business analysis to align data systems and reporting outputs with organizational goals and DHA-FE objectives. - Prepare data sets for prescriptive and predictive modeling efforts. - Develop algorithms and prototypes to automate data transformation and distribution via the FE SharePoint environment. - Coordinate with data source stakeholders and product managers to establish and maintain documentation, data definitions, and standards for enterprise-level data usage. - Document data workflows, transformation logic, reporting methodologies, and governance practices using SharePoint and Confluence. - Collaborate with program leadership, technical teams, and DHA stakeholders to support enterprise reporting and data modernization initiatives. - Support program deliverables, reporting requirements, and continuous improvement initiatives as part of the DSS support team. Qualifications - Proficiency in SQL, Power M, Power Query, Power BI, Microsoft Excel, and SharePoint. - Working knowledge of Python, MongoDB, Tableau, machine learning concepts, and Confluence. - Experience developing dashboards and analytical reports using Power BI, Tableau, or similar visualization tools. - Understanding of data engineering concepts, ETL processes, and database structures. - Familiarity with DMLSS/LogiCole FM systems and knowledge of other CAFM/CMMS platforms. - Ability to interpret complex datasets and translate analytical results into actionable business recommendations. - Understanding of data governance, data QA/QC processes, and enterprise reporting standards. - Strong organizational skills and attention to detail. - Excellent written and verbal communication skills with the ability to communicate technical information to non-technical stakeholders. - Ability to work collaboratively within a cross-functional program team in a structured federal contracting environment. Requirements - Bachelor’s degree in Data Analytics, Data Science, Computer Science, Information Systems, Engineering, Business Analytics, or a related field. Equivalent professional experience may be considered. - Must be a U.S. Citizen. - Must be able to obtain and maintain a favorable National Agency Check with Inquiries (NACI) (Tier 1) investigation. - Must be eligible to obtain and maintain a Common Access Card (CAC). - Must comply with all installation access and security requirements. Physical Requirements - Sit for extended periods while working at a computer. - Perform repetitive hand and finger movements. - Walk short distances within medical facilities. - Occasionally lift up to 25 pounds. - Maintain focus on detailed data entry and system review tasks. - Work in a low-noise office environment within a healthcare facility.

• Utilize your deep product expertise and advanced analytics skills to drive decision-making across web and mobile product experiences • Conducting in-depth analyses, owning experimentation from end to end, developing event tracking plans, and delivering impactful reports to measure the effectiveness of features • Partnering closely with the Mobile Product and Engineering teams to analyze app user behavior, measure mobile feature adoption, and identify opportunities to improve the end-to-end mobile experience across iOS and Android • Designing and analyzing A/B tests to validate hypotheses and optimize acquisition, activation, and retention strategies • Owning the definition of success for product initiatives, ensuring features deliver meaningful and measurable user and business value • Ensuring analytics outputs are accurate, timely, and aligned with Calendly’s business goals • Representing growth levers and business objectives in cross-functional planning and strategy discussions • Applying statistical methods to uncover insights related to product usage (e.g., conversion funnel analysis, cohort retention, lifecycle segmentation, LTV modeling, and churn prediction) • Building and maintaining dashboards that surface key growth trends and enable stakeholders to self-serve insights effectively • Design, implement, and maintain comprehensive event tracking plans to ensure accurate measurement of user behavior, product adoption, and feature performance