• Elicit, analyze, and document business and functional requirements through stakeholder interviews/workshops. • Translate needs into user and technical stories, process flows, and acceptance criteria. • Play a key role in helping stakeholders make informed decisions by assessing and articulating the business value. • Contribute to backlog refinement activities with business owners, developers, and QA. • Partner with QA and UAT by clarifying requirements, validating outcomes against acceptance criteria.

• Develop and maintain clinical and business performance measures aligned with DHA/MHS priorities • Maintain and update assigned measures within the centralized Measure Library, ensuring consistency and adherence to governance standards • Define measure specifications, methodologies, and calculation logic • Identify appropriate data sources, benchmarks, and thresholds using evidence-based practices • Analyze performance metrics to identify trends and improvement opportunities • Produce process and outcome measures and support leadership reporting needs • Support development and refinement of performance measures and analytics outputs to inform decision-making • Apply data science techniques to analyze data and support predictive insights • Identify opportunities to incorporate AI/ML capabilities where applicable • Collaborate with cross-functional stakeholders and support working groups • Prepare briefings, reports, and presentations for leadership • Provide guidance on metrics interpretation and analytics outputs • Engage with stakeholders to capture requirements and define new or updated performance measures • Research and evaluate data sources; design methodologies for measure calculation and validation • Author and maintain Interface Control Documents (ICDs) and detailed specifications; obtain stakeholder approval and coordinate handoff to Data Operations for implementation • Update and govern measure artifacts within the Measure Library to support transition to Data-as-a-Product frameworks

Role Description We are looking for a Business Analyst to join our Shipping Operations team and support IPSY’s monthly subscription execution and logistics functions. In this role, you will complete analyses to plan, review, and improve our monthly subscription distribution. You will also work with internal and external partners to enhance our member’s experience, help drive fulfillment strategy execution across our facilities and further develop internal review and reporting processes. This is a highly visible and collaborative role, where you’ll work closely with our warehouse and distribution partners as well as internal teams, such as Product, Marketing, and Operations. This position reports to the Director of Shipping & International Operations and is a remote role based in Argentina. What You’ll Be Doing: - Build, maintain, and communicate detailed reporting and forecasting models to improve our monthly subscriptions distribution programs. - Coordinate with IPSY’s warehouses and distribution partners to ensure service-level consistency across different programs. - Develop and implement processes to support scalability. - Identify operational weaknesses and drive innovation. - Support ad-hoc analyses to drive strategic decisions within Operations. - Coordinate with other cross-functional teams to drive IPSY's business agenda. Qualifications - Bachelor’s degree in Business, Computer Science, Mathematics, Economics, or other quantitative field. - 1-3+ years of professional experience performing analysis (ideally at an e-commerce, subscription, retail, or transportation company). - Excellent SQL and data warehouse skills, and experience writing complex queries on large data sets. - Expertise with Microsoft Excel, Google Sheets, and data visualization and dashboard tools such as Tableau, Looker, or equivalent. - Excellent attention to detail, problem solving, critical thinking, project management, and communication skills. - Experience creating and optimizing business and operational processes. - Ability to manage time effectively, set priorities, and meet deadlines. - Thrives collaborating on a team and with other stakeholders. - Flexible demeanor and ability to work in a fast-paced, entrepreneurial environment. Bonus if You Have: - Preference given to candidates with supply chain or distribution experience. - Interest in beauty or subscription box industries. Benefits - Competitive salary (USD). - Paid time off & work from home flexibility. - Learning & development programs.

• Collaborate with team members and stakeholders to define key business metrics, deeply understand business challenges, and gather requirements for insights that should be made available at scale • Architect and maintain data pipelines, design data models, and build new dashboards to address stakeholder needs across multiple business domains • Analyze large volumes of structured and unstructured data (text, logs, call notes, chat transcripts, surveys, etc.) to surface emerging trends, signals, and potential pain points in customer and operational journeys • Stitch structured and unstructured datasets to deliver holistic, omnichannel insights, providing a full customer and operational view across channels • Apply NLP, classification techniques, clustering, or pattern‑detection methodologies (where applicable) to discover insights—following the data to uncover hidden opportunities or emerging issues • Deliver clear, compelling presentations that translate complex analytical findings into actionable recommendations for executives and operational teams • Maintain and enhance existing data infrastructure, dashboards, and reporting assets based on evolving business needs • Publish and maintain clear documentation to inform and educate users at scale, gather feedback, and identify opportunities for improvement • Identify ways to streamline and improve efficiency across channels, including workflow automation and process optimization • Work cross‑functionally with product, engineering, operations, CX, data governance, and other teams to align on data needs, requirements, and solutions • Stay organized, manage multiple priorities, and adjust analytical approaches as new data signals or unexpected patterns emerge