Back
Strong Tier-1 brand, popular data role, metro location, and broad skill requirements increase competition.
Advanced retail decision-science focus requires industry knowledge despite generally transferable data platform and analytics skills.
Multiple mandatory analytics and data platform skills (BigQuery, Spark, Airflow, causal/ML) create strict shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead application of data analytics and AI to influence merchandising strategy and business outcomes.
Translate complex business problems into structured analytical and AI-driven solutions including decision support, forecasting, and optimization.
Partner with business stakeholders to validate requirements, present insights, and maintain data pipelines on platforms like GCP BigQuery using tools such as Airflow.
Experience working with large-scale datasets and analytics platforms such as GCP BigQuery, Spark, and SQL-based data warehouses.
Demonstrated ability applying advanced analytics techniques including causal, predictive, and prescriptive analytics.
Work Experience Required: Not explicitly mentioned in the JD.
Experience with AI-driven workflows and responsible AI practices including data privacy, bias mitigation, and explainability.
Proven ability to independently handle ambiguous business problems and deliver impactful analytical solutions.
Experience synthesizing complex analyses into narratives for executive and merchant audiences.
Strong business acumen with the ability to build trusted relationships with internal clients and partners.