• Develop, manage, and execute analytics projects that support employee listening, research design, and program evaluation initiatives • Extract, transform, and analyze data using SQL and other analytics tools to generate accurate, actionable insights • Ensure data quality, integrity, and compliance with privacy and ethical standards throughout all analytics processes • Design and implement rigorous research methodologies, including quantitative and qualitative approaches, to measure employee engagement, organizational effectiveness, and program impact • Lead evaluation efforts to assess the effectiveness of people programs and initiatives, providing evidence-based recommendations for improvement • Collaborate with stakeholders to define research questions, hypotheses, and success metrics aligned with organizational goals • Apply principles of organizational behavior to interpret analytics results and provide nuanced insights into workplace dynamics • Partner with HR Business Partners, Centers of Excellence, and business leaders to identify analytics needs and co-create solutions that drive decision-making • Translate complex data and research findings into clear, concise reports and presentations for diverse audiences, including leadership teams • Facilitate data-driven conversations and support leaders in interpreting analytics to inform strategy and action • Contribute to the development and maintenance of scalable analytics dashboards and reporting tools that enhance data accessibility and usability • Identify opportunities to streamline analytics workflows and promote reuse of methodologies and tools across projects • Support continuous improvement efforts by staying current with industry best practices and emerging analytics technologies.

• Develop and maintain complex data models and visualizations to track key performance indicators (KPIs) related to demand forecasting, capacity planning, and supply chain operations. • Utilize strong SQL skills to extract, transform, and analyze large datasets from various sources, including internal databases, external APIs, and cloud-based platforms. • Design and implement data pipelines to automate data collection, cleaning, and processing, ensuring data accuracy and integrity. • Conduct in-depth analysis of supply chain and product utilization data to identify trends, patterns, and anomalies, and provide actionable insights to optimize resource allocation and improve operational efficiency. • Collaborate with cross-functional teams, including demand planners, supply planners, and product managers, to understand their data requirements and provide tailored reports and dashboards. • Proactively identify opportunities for process improvement and automation, and develop innovative solutions to enhance data analysis capabilities. • Contribute to the development of processes and procedures to improve data accuracy • Implement dashboards to drive clear communication around the story being told by the data.

• We are looking for a passionate Digital Data Analyst • Transform large volumes of usage, journey and transaction data into clear, reliable and immediately actionable KPIs • Define and manage business KPIs • Work closely with Product and Tech to ensure coherence and completeness • Analyze user behavior and the business impact of new features • Support country teams and collaborate cross-functionally.

• Design and develop complex finance-focused analytics solutions, including advanced KPI frameworks, reusable data models, and scalable pipelines • Architect and build analytics solutions on Microsoft Fabric, Azure, and Snowflake that support financial and management reporting • Develop and optimize advanced transformation workflows for large, multi-source datasets • Build sophisticated automation and analytics workflows using Alteryx and/or Python to standardize and scale finance analytics solutions • Translate ambiguous finance and business problems into well-structured analytics and data engineering solutions • Apply deep financial understanding to ensure analytics outputs align with accounting logic and business expectations • Deliver finance insights and narratives through advanced dashboards using Power BI, Tableau, or similar tools • Lead hands-on development while mentoring team members on financial data modeling, analytics patterns, and problem-solving • Mentor junior team members through hands-on collaboration, design discussions, and technical guidance • Drive insight generation and storytelling across interconnected datasets