We are seeking a detail-oriented and analytical Lead Data Analyst to join our team.
The ideal candidate will play a key role in transforming raw data into actionable insights that support decision making across business, marketing, and supply chain functions.
This role requires strong technical skills, a solid understanding of e-commerce and digital marketing metrics, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities
Data Preparation & Quality Assurance :
Extract, clean, validate, and transform large analytical datasets from multiple internal and external sources.
Perform data quality checks to ensure accuracy, consistency, and completeness across reporting layers.
Identify data gaps, anomalies, and inconsistencies that may impact analysis or decision-making.
Advanced Data Analysis & Insight Generation
Conduct in-depth exploratory and diagnostic analysis to uncover trends, patterns, and root causes.
Perform cohort, funnel, segmentation, and variance analysis to explain business performance.
Build analytical models and frameworks to evaluate growth drivers, risks, and Reporting & Visualization :
Design and develop insight-led dashboards and reports using Power BI (mandatory) and Looker Studio.
Focus on storytelling with data by highlighting drivers, deltas, and business implications rather than just metrics.
Enable self-serve analytics while maintaining analytical rigor and consistency.
Business Problem Framing & Stakeholder Collaboration
Partner with digital marketing, operations, and leadership teams to translate business questions into analytical hypotheses.
Convert ambiguous requirements into structured analytical approaches and measurable outcomes.
Communicate insights clearly to support informed decision-making.
SQL-Driven Analytics & Data Warehousing
Write, optimize, and maintain complex SQL queries for analytical use cases.
Build and manage analytical datasets in Google Big Query for reporting and deep-dive analysis.
Ensure datasets are analytics-ready, performant, and reusable.
