Data Model & ETL Lead - Retail, CPG and Customer Analytics.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading technology services and software company serving global retail and consumer goods enterprises. They are known for building data products, advanced analytics and AI-driven solutions at scale. The organization fosters a collaborative, innovation-led culture with a strong focus on continuous learning and growth.
About the role.
This role focuses on designing and delivering retail, customer and promotions data models and ETL pipelines that power marketing and customer analytics for large retail and CPG clients. You will lead a team of data professionals, partner with stakeholders to translate business questions into analytical solutions, and guide the application of machine learning and attribution techniques. The position is hybrid, based across Pan India locations, and suits a consulting-minded leader who blends technical depth with client-facing communication.
What you will do.
- Design, develop and maintain retail, customer and promotions data models and ETL pipelines to support analytics use cases.
- Lead and mentor a team of data engineers and analysts, setting technical standards and reviewing their work.
- Develop customer analytics solutions including customer segmentation, propensity models, CLTV models and recommender systems.
- Evaluate marketing campaign effectiveness through A/B testing, test-and-learn frameworks, market mix modeling and multi-touch attribution.
- Build and deploy machine learning models for regression, classification and unsupervised learning use cases.
- Create insightful dashboards and reports using Tableau and Power BI for business stakeholders.
- Work with cloud data platforms such as GCP, Azure, AWS, Databricks and Snowflake to deliver scalable data products.
- Engage with stakeholders to present complex insights clearly and drive decisions from analytics outputs.
What you bring.
- 8-12 years of professional experience in analytics, with demonstrated expertise in retail, marketing and customer analytics projects.
- Retail or CPG domain expertise; a consulting background is preferred.
- 5+ years of team management experience with a proven track record of mentoring high-performing teams.
- Hands-on experience in marketing analytics, including campaign effectiveness, A/B testing, market mix modeling and multi-touch attribution.
- Strong machine learning skills in regression, classification and unsupervised learning.
- Advanced programming in SQL, Python and PySpark, with experience developing retail, customer and promotions data models.
- Experience with cloud platforms such as GCP, Azure, AWS, Databricks or Snowflake, and with Tableau or Power BI.
- Excellent problem-solving, organizational, project management and communication skills.
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