• Supports cross-functional study team and RBQM Leads in Protocol Risk Assessment, risk identification, and evaluation into Risk MAP. • Support RBQM Leads in selection and implementation of Key Risk Indicators (KRIs), and Quality Tolerance Limit parameters (QTLs) and other applicable assessments and dashboards, conducting end of trial summarization of risk management activities for inclusion to Clinical study report. • Drafts and oversee RBQM system set up specifications. • Perform the execution and review of the Study’s assessments and analysis, and diagnosing and explaining anomalies identified in the data and risks. • Raise signal and issues in RBQM systems and raise actions as appropriate in RBQM system. • Delivers timely high-quality analytics and supporting RBQM leads in communication to the cross-functional study team to identify resolution. • Collaborate with assigned programmer to implement study-specific KRIs, QTLs, visualizations, and other analytics in the RBQM system. • Perform QC study setup in RBQM system vs RBQM system specifications, if required. • Act as RBQM programmer on set up of KRIs, QTLs, data quality assessments as well as visualizations in the RBQM system, if required. • Perform the maintenance of the Risk-Based Quality Management (RBQM) system based on RBQM Plan requirements, data sources and structure. • Ensure appropriate status and process documentation are produced and maintained during the study. • Communicate and/or escalate serious risks and issues to the RBQM Lead, study team and/or management and Quality, as needed. • Ensure inspection readiness for clinical risk management and centralized monitoring activities.

• Analyze and Investigate Fraud Trends: Dive deep into application data to proactively identify emerging fraud patterns, uncover system vulnerabilities, and understand the evolving tactics used by criminals. • Develop and Fine Tune Fraud Strategies: Design, build, and implement new, real-time defenses to detect and prevent fraudulent applications. You will constantly test and refine our strategies to stay ahead of fraudsters. • Balance Risk with Customer Experience: Make thoughtful, data-backed decisions that strike the optimal balance between risk prevention and customer experience. • Monitor and Report on Performance: Create and maintain robust dashboards to track the performance of fraud strategies. You’ll be responsible for reporting on key metrics like coverage, pause rates, step-up completion rates, defense performance, and losses. • Optimize and Collaborate: Work closely with our Operations, Product, Data Science, and Engineering teams to continuously improve fraud detection capabilities and strategies.

Role Description The Supply Chain Business Analyst serves as the primary analytics partner for Supply Chain, Procurement, Logistics, and Warehousing operations within a fast-growing consumer products organization. This role sits at the intersection of business operations and technology, translating complex operational requirements into scalable data and analytics solutions. The ideal candidate will remain hands-on with Power BI, SQL, and cloud platforms while utilizing AI tools to accelerate business decision-making. This is a 3 to 6-month contract position. Key Responsibilities - Supply Chain Analytics & Business Intelligence - Design, develop, and maintain robust Power BI dashboards supporting Demand Planning, Supply Planning, Procurement, S&OP, Logistics, and Warehousing. - Develop standardized executive reports and KPI dashboards tracking critical operational metrics such as Forecast Accuracy, OTIF (On-Time In-Full), Inventory Turns, Fill Rate, PPV, and Carrier performance. - Business Analysis & Data Engineering Collaboration - Gather, document, and translate business requirements from Supply Chain stakeholders into Business Requirements Documents (BRDs), functional specifications, user stories, and UAT test plans. - Act as the primary liaison between Operations and IT/Data Engineering teams to define source-to-target mappings, data transformation logic, and ETL/ELT requirements. - Perform SQL-based data analysis and assist in designing dimensional models supporting Azure-based enterprise analytics. - Data Quality, Governance, & AI-Enabled Analytics - Monitor and validate data quality across ERP, planning, and operational systems, identifying anomalies and establishing automated exception reporting. - Maintain comprehensive data dictionaries, business glossaries, and metadata documentation to support enterprise data governance. - Leverage generative AI and Large Language Model (LLM) tools such as Claude, ChatGPT, and Microsoft Copilot to optimize analytical workflows, compile report narratives, and draft operational documentation. Qualifications - 3 or more years of experience as a Business Analyst, Supply Chain Analyst, or Data Analyst. - 3 or more years of experience in a Consumer Packaged Goods (CPG), FMCG, or consumer products environment. - Demonstrated experience supporting multiple supply chain functions, including demand/supply planning, procurement, logistics, or warehousing. - Advanced proficiency with Microsoft Power BI, including Power Query (M), DAX, semantic modeling, and dashboard development. - Hands-on experience working with one or more Microsoft Azure data platforms (such as Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake, or Microsoft Fabric). - Advanced SQL skills for data extraction, transformation, joins, aggregations, and dimensional modeling. - Active working knowledge of prompt engineering and utilizing at least one enterprise LLM tool (e.g., Claude, ChatGPT, or Microsoft Copilot) within professional analytical workflows. - Strong skills in Microsoft 365, with advanced Excel proficiency (Power Query, Pivot Tables, formulas). - Bachelor’s degree in Supply Chain Management, Data Analytics, Business, Information Systems, or a related field. Preferred Qualifications - Hands-on experience with Microsoft Fabric and the evolution of Azure analytics. - Experience using Microsoft Business Central ERP or similar mid-market ERP platforms. - Experience with Kinaxis Maestro or similar Advanced Planning and Scheduling (APS) systems. - Familiarity with Trade Promotion Management (TPM) tools or data (e.g., UpClear BluePlanner). - Exposure to integration middleware (e.g., Boomi, Azure Logic Apps) and API-based data flows. - Proficiency in Python (specifically Pandas and NumPy) for data manipulation and analytics automation. - Professional certifications such as Microsoft Power BI (PL-300) or Azure Data Engineer Associate (DP-203). - Experience supporting private equity-backed, high-growth, or M&A-active CPG organizations. Core Skills & Attributes - Excellent analytical, problem-solving, and diagnostic abilities to maintain high data accuracy. - Strong business partnering and stakeholder management skills to bridge functional business units and technical teams. - Outstanding written and verbal communication skills with the ability to summarize complex data into clear operational narratives. - High attention to detail with a self-motivated approach to working independently in a fully remote environment. Benefits - Competitive salary - Remote (U.S. only) - Mid-Level (3 or more years of experience)

• Construir e manter dashboards e métricas de desempenho em ferramentas como Looker e Sheets/Excel; • Realizar análises de resultados de campanhas e testes A/B, traduzindo dados em recomendações práticas; • Analisar perfis de clientes, comportamento de uso e jornada de engajamento nos produto; • Levantar hipóteses quantitativas e qualitativas sobre gaps e oportunidades nos funis de conversão e retenção; • Acompanhar indicadores de negócio (receita, TPV, churn, adoção de produtos) e gerar alertas de desvios; • Colaborar com múltiplos stakeholders (Produto, Marketing, Jurídico, Pricing, etc.) na execução e avaliação de iniciativas; • Contribuir para a avaliação econômica e operacional das ações de engajamento, incluindo estimativas de ROI e payback; • Garantir consistência e confiabilidade das bases e dashboards usados pela área.