Data Analyst – Retail Analytics

Role Overview

As a Lead Data Scientist / Data Analyst, you’ll combine analytical thinking, business acumen, and technical expertise to design and deliver impactful data-driven solutions. You’ll lead analytical problem-solving for retail clients — from data exploration and visualisation to predictive modelling and actionable business insights.

Key Responsibilities

• Partner with business stakeholders to understand problems and translate them into analytical solutions.

• Lead end-to-end analytics projects — from hypothesis framing and data wrangling to insight delivery and model implementation.

• Drive exploratory data analysis (EDA), identify patterns/trends, and derive meaningful business stories from data.

• Design and implement statistical and machine learning models (e.g., segmentation, propensity, CLTV, price/promo optimisation).

• Build and automate dashboards, KPI frameworks, and reports for ongoing business monitoring.

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