Lead Data Analyst

Role Description: We are looking for a highly skilled Senior Data Analyst with strong hands-on experience in core analytics using Python or R. The ideal candidate should have a solid understanding of supply chain or e-commerce business operations and the ability to translate complex datasets into actionable insights that drive business decisions.

Key Responsibilities:

Perform advanced data analysis using Python/R, including data cleaning, transformation, feature engineering, and statistical modelling

Conduct exploratory data analysis (EDA) on large and complex datasets to uncover patterns, trends, and anomalies.

Build and automate analytical reports, dashboards, and performance metrics to support business stakeholders.

Partner with supply chain, operations, product, and business teams to understand requirements and deliver data-driven solutions.

Develop predictive and descriptive analytics models to improve forecasting, planning, and operational efficiency.

Work with data engineering teams to ensure data accuracy, integrity, and accessibility across systems.

Present key insights and recommendations to leadership teams in a clear and concise manner.

Drive continuous improvement in analytical processes and data quality. Required Skills &

Qualifications:

46 years of experience as a Data Analyst or Senior Analyst.

Strong command of Python or R for analytics (must have).

Proficiency in Pandas, NumPy, Scikit-learn (if Python) or tidyverse, dplyr, ggplot2 (if R).

Solid experience in supply chain analytics or e-commerce analytics.

Strong understanding of business KPIs: demand forecasting, inventory planning, order lifecycle, delivery performance, etc.

Good knowledge of SQL for querying and validating data.

Experience working with large datasets and data visualisation tools (Tableau, Power BI, Looker, etc.).

Strong problem-solving, analytical thinking, and communication skills.

Education Qualifications: - BTech/BE + M.Tech /ME (preferable)