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

• Collaborate with senior management, investors and internal stakeholders. • Develop and expand a central data warehouse for KPI aggregation and automation. • Create and improve Power BI reports to enhance business and operational efficiency. • Perform ad-hoc analyses using T-SQL, MS Excel or SQL Server Reporting Services. • Support the finance department with data acquisition and analysis tasks. • Integrate newly acquired companies and data models into the data warehouse.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Economics & Finance Assessment Specialist Type: Contract Compensation: $40–$90/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities - Author original economics and finance questions that test deep conceptual understanding, not surface-level recall. - Ensure questions are unambiguous, self-contained, and precisely defined. All necessary information must be in the problem statement. - Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above). - Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers. - Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format. - Supply 1–5 academic references per question from reputable sources like peer-reviewed journals and university repositories. - For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made. Qualifications - Must-Have: PhD or doctoral candidate in Economics, Finance, or a closely related field. - Master's degree considered for candidates with exceptional depth in a specific subdomain. - Strong command of graduate-level economic theory, quantitative methods, and financial modeling. - Excellent written English and ability to express complex ideas clearly and concisely. - Preferred: Experience with academic research, CFA/CPA certification, or financial industry expertise is a strong plus. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.