• Design, implement and maintain robust analytics solutions across the business • Integrate data from multiple sources, ensuring accuracy, data quality and consistency • Provide actionable insights that empower all departments to make data-driven decisions • Develop dashboards, reports and visualisations to present complex data to stakeholders • Embedding Looker or integrating BI outputs into other applications • Partner with our data engineering team to architect robust schemas for downstream BI tools • Research cutting edge application of analytics in the healthcare domain • Maintain internal tools • Proven ability to excel in a dynamic, fast-paced organisation • Proven ability to deliver comprehensive and detailed analytical reports

• Work with team leads to build, manage and maintain the BI & reporting pipelines • Translate business requirements into reportable KPIs and metrics • Support configuration and analysis for internal and external client reporting • Create a variety of scheduled and ad Hoc reports across multiple platforms (dependent on stakeholder requirements) • Conduct quality checks / reports on data to ensure accuracy, consistency and reliability of information • Implement necessary data validation processes and resolve discrepancies or issues identified • Develop and maintain dashboards leveraging data visualization tools and advanced analytical techniques • Perform statistical analyses to provide insights and recommendations • Liaise directly with the relevant teams, internally or externally to resolve any queries

• Responsible for delivering enterprise reporting, analytics, and performance insights across sales, operations, and call center environments • Transforms complex data into actionable intelligence that supports strategic decision making, improves operational performance, and enhances customer experience • Partners closely with business leaders to define metrics, monitor performance trends, and develop scalable reporting solutions that drive business growth and operational efficiency • Develops and maintains KPI dashboards and recurring performance reporting across sales channels, operational teams, and call center incentive programs • Ensures data accuracy, consistency, and accessibility for business stakeholders and leadership • Performs deep analytical reviews of performance data to identify trends, risks, and improvement opportunities • Provides clear recommendations that influence business strategy, customer experience, and operational execution • Delivers reporting and analysis across call center incentive performance metrics including incentive attainment, payout accuracy, performance against incentive thresholds, behavior change tied to incentive programs, and alignment to performance metrics • Identifies performance drivers and supports incentive strategy improvements that increase agent performance and business outcomes • Builds scalable data models and curated datasets using enterprise data platforms • Writes optimized SQL queries and supports data architecture that enables consistent enterprise reporting, analytics, and incentive intelligence • Supports performance forecasting, incentive modeling, and performance scenario analysis • Identifies performance variances and root cause drivers impacting business results and incentive effectiveness • Partners with multiple departments to define reporting needs, establish performance and incentive metrics, and deliver data driven solutions aligned to business objectives • Validates data sources, identifies data discrepancies, and partners with teams to resolve data quality issues across multiple data environments • Improves reporting workflows, reduces manual processes, and increases data accessibility through scalable business intelligence solutions supporting sales and call center incentive programs • Exercises independent judgment when interpreting performance and incentive trends, recommending program adjustments, prioritizing reporting initiatives, and influencing business decision making based on analytical findings

• Develop and maintain labor models to forecast staffing needs, optimize schedules, and balance workload across warehouses and fulfillment centers. • Analyze labor productivity, capacity utilization, overtime, and staffing costs to identify gaps and drive efficiency improvements. • Partner with operations and HR to implement workforce optimization strategies that align labor capacity with business demand. • Design and build the supply chain analytics framework, developing KPIs and dashboards that provide visibility into labor productivity, fulfillment performance, inventory health, transportation efficiency, and customer experience. • Develop automated auditing and monitoring tools to identify labor cost inefficiencies, margin leakage, productivity gaps, and service risks across warehousing, transportation, and inventory operations. • Analyze inventory flow, demand patterns, capacity utilization, and network performance to improve service levels, reduce carrying costs, and increase throughput, including the impact on labor requirements. • Partner with technology and operations teams to define labor-related data requirements, improve system integrations, and build a scalable analytics roadmap across WMS, TMS, OMS, ERP, and workforce management systems. • Apply predictive modeling, regression analysis, segmentation, and forecasting techniques to optimize labor planning, identify performance drivers, and inform operational strategy.