Job Responsibilities

Transform data into actionable business insights and advanced analytics to support decision-making across the retail organization
Act as a bridge between business and data/technology teams to enable data-driven strategies across Sales, Marketing, Customer, Merchandising, Pricing, Supply Chain, and Store Operations
Lead business analytics and advanced analytics initiatives, including customer segmentation, CLV, promotion effectiveness, store performance, demand forecasting, churn/retention, personalization, and pricing optimization
Define KPI frameworks, analytics standards, and oversee dashboards, reporting, and self-service BI platforms
Partner with Data Science, AI, Data Engineering, and IT teams to deliver scalable analytics solutions and move models from pilot to production
Manage stakeholders and present insights and recommendations to senior management, prioritizing initiatives based on business impact
Lead, develop, and upskill analytics teams while fostering a strong data-driven culture and ensuring data governance, quality, and compliance

Qualifications

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Business Analytics, or a related field
8–12 years of experience in data analytics, business intelligence, or advanced analytics
Experience in retail, FMCG, e-commerce, or omnichannel businesses preferred
3–5 years of experience leading analytics or data teams

Skills

Technical

• Strong analytical and statistical foundation

• Proficiency in SQL and Python and/or R

• Experience with BI tools (Power BI, Tableau, Looker)

• Understanding of modern data platforms (Data Warehouse, Data Lake, Cloud)

• Knowledge of machine learning and predictive analytics

Business & Leadership

• Strong retail business acumen

• Strategic and critical thinking

• Effective data storytelling and communication

• Stakeholder management and influence

• Team leadership and project prioritization

Data Analyst Manager

Operation Data Analyst Manager