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 Collaborate with data engineering and product teams to deploy solutions in production environments Present complex analyses in a clear business-oriented way influencing decision-making across retail categories Promote an agile experiment-driven approach to analytics delivery Common Use Cases You ll Work On Customer segmentation RFM mission-based behavioural Price and promo effectiveness Assortment and space optimisation CLTV and churn prediction Store performance analytics and benchmarking Campaign measurement and targeting Category in-depth reviews and presentation to the L1 leadership team Required Skills and Experience 3 years of experience in data science analytics or consulting preferably in the retail domain Proven ability to connect business questions to analytical solutions and communicate insights effectively Strong SQL skills for data manipulation and querying large datasets Advanced Python for statistical analysis machine learning and data processing Intermediate PySpark Databricks skills for working with big data Comfortable with data visualisation tools Power BI Tableau or similar Knowledge of statistical techniques Hypothesis testing ANOVA regression A B testing etc Familiarity with agile project management tools JIRA Trello etc Positive to Have Experience designing data pipelines or analytical workflows in cloud environments Azure preferred Strong understanding of retail KPIs sales margin penetration conversion ATV UPT etc Prior exposure to Promotion or Pricing analytics Dashboard development or reporting automation expertise Fill in the form we will contact you

📌 Data Analyst – Retail Analytics (Bengaluru)
🏢 Episeio Business Solution
📍 Bengaluru