
Lead‑level analyst specialising in data quality, operational analytics, and enterprise‑wide reporting. Proven ability to transform complex stock, shrinkage, and operational datasets into actionable insights that improve accuracy, reduce losses, and strengthen governance. Experienced in SAP, SAP Analytics Cloud, SAP Analysis for Office, Power BI, SQL, and Python, with technical capability strengthened through a recently completed Level 4 Data Analyst apprenticeship. Skilled in KPI development, data visualisation, and cross‑functional collaboration across retail, supply chain, and distribution. Recognised for driving process improvements, leading stock‑integrity initiatives, and supporting senior stakeholders with clear, insight‑driven reporting. Strong leadership background with experience coaching teams, playing a key role in RFID proof‑of‑concept implementation, and delivering measurable improvements in data quality and operational performance. Contributed significantly to the recent SAP ECC‑to‑S/4HANA migration from a supply‑chain perspective, including validating pre‑load and post‑load data files and supporting data‑quality sign‑off during technical cutover.
Key Responsibilities Key Achievements
Oversee analytical reporting on stock accuracy, shrinkage, and operational data quality across multiple divisions, with outputs routinely informing C‑suite decision‑making and influencing enterprise‑level strategy. Manage and develop analysts, strengthening the team’s ability to deliver accurate reporting, robust data analysis, and insight‑driven recommendations for senior stakeholders. Act as the function’s data expert, supporting analysts across the wider EIC population on best practices, analytical methods, and reporting standards, helping transform the function’s reporting into more scalable, consistent, and reliable insight.
Key Responsibilities
Supported the Lead Inventory Control Analyst in delivering high‑quality integrity reporting, shrinkage analysis, and operational data insights across multiple retail divisions. Played a key role in improving stock accuracy, strengthening data‑quality controls, and enhancing reporting reliability.