- 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 opportunities.

Analytics-Driven 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.

KPI Definition, Measurement & Performance Analysis :

- Define and standardize business and marketing KPIs aligned with strategic objectives.

- Monitor performance trends, explain metric movements, and identify early warning signals.

- Link primary KPIs with dependent metrics to provide a complete performance narrative.

Experimentation, Impact Measurement & Optimization :

- Measure the impact of campaigns, promotions, and initiatives using pre-/post analysis and A/B testing frameworks.

- Quantify incremental lift, ROI, and effectiveness to guide optimization and prioritization.

Automation & Analytical Scalability :

- Automate recurring analyses and reporting workflows to improve efficiency and turnaround time.

- Build scalable analytical processes that reduce manual effort and improve reliability.

Strategic & Executive Decision Support :

- Work closely with management and vertical heads to conduct deep-dive and ad-hoc analyses on critical business topics.

- Support high-impact business decisions through scenario analysis, trade-off evaluation, and data-backed recommendations.

Qualification :

- 4 to 5 years of experience in Data Analytics, preferably within e-commerce or digital marketing.

- 1 to 2 years of experience in handling a team.

- Strong understanding of e-commerce metrics, funnels, and digital marketing analytics/Amazon marketing analytics.

- Proficient in SQL, Advanced Excel, and Google BigQuery.

- Hands-on experience with Power BI(Mandatory), Tableau or Looker Studio for reporting and dashboarding.

- Strong analytical and problem-solving skills with the ability to translate data into clear business insights.

- Experience collaborating with cross-functional teams, especially digital marketing.

- Excellent communication, presentation, and stakeholder management skills.