Manager - Analytics Engagement

The Manager - Data Analytics is responsible for supporting the development and execution of our Analytics Delivery and Insights roadmap. In close collaboration with product owners, data scientists, and data engineers, the role holder will lead a team of data analysts to drive actionable insights and deliver impactful solutions to the business, spearheading the Advanced Analytics transformation across the company.

Responsibilities

• Lead end-to-end analytics initiatives, ensuring high-quality, consistent, and timely delivery of actionable recommendations.
• Own the analytical data lifecycle, establishing robust data pipelines, governance, and quality controls to ensure reliable, analysis-ready data.
• Define and oversee KPIs, performance metrics, dashboards, and reporting frameworks for stakeholders across leadership levels.
• Drive the development and automation of predictive models, segmentations, and advanced analytics solutions to address evolving business needs.
• Collaborate with product owners, data scientists, data engineers, and business teams to define and develop frameworks and methodologies to measure and track the impact of analytics use-cases.
• Develop presentations on advanced analytics and performance in key areas of the business and communicate results across the organization.
• Perform regular audits of various processes and databases for the Retail Analytics Unit to identify gaps and risks, and propose corrective actions.
• Prepare business presentations and reports related to Retail Analytics for various stakeholders, on periodic and ad hoc basis as required.

Requirements

• Bachelor’s Degree in a computer science, engineering, math, or related technical discipline.
• 7+ years in a managerial Data Analytics role in an international environment, creating and building complex analyses and evaluation tools for assessing/tracking performance.
• 2+ years in the retail/FMCG business is preferred.
• Experience in Azure, Azure Data Factory, Databricks, SQL, Python, and PowerBI.