Overview
Lead Data Analyst role on a Data Analytics team working across business domains to turn data into insights and decision support.
What you'll do
- Apply data, analytics, and AI to influence merchandising strategy and outcomes.
- Translate ambiguous business problems into structured analytical approaches.
- Partner with business stakeholders to validate requirements and present insights.
- Design and deliver analytical and AI-driven solutions, including forecasting and optimization.
- Use causal, predictive, and prescriptive analytics to inform optimal actions.
- Work with large-scale datasets and build maintainable data pipelines.
- Translate complex analyses into clear narratives for executive and merchant audiences.
What you'll need
- Experience with digital/analytical domains including marketing, merchandising, supply chain/logistics, store operations, and finance (as part of the team scope).
- Ability to translate ambiguous business problems into structured analytical approaches.
- Experience presenting insights and recommendations with clarity and impact.
- Skills to use GCP BigQuery, Spark, and SQL-based data warehouses.
- Ability to build and maintain data pipelines using Airflow or similar orchestration tools.
- Capability to apply advanced analytics such as causal, predictive, and prescriptive analytics.
- Experience defining quality metrics and measuring reliability and business impact for AI workflows.
Details
- Location: Bangalore, India.
Read the full description and apply on the company’s own careers page.
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