Work closely with Sales Marketing Supply Chain and Finance teams to understand business needs and deliver data-driven insights.
Perform deep-dive analysis on sales performance product distribution pricing trends retailer behavior and promotional effectiveness.
Develop dashboards KPIs and scorecards using SQL and Python-based tools (e.g. pandas matplotlib seaborn plotly).
Design and maintain scalable databases data pipelines and queries for real-time and ad-hoc reporting.
Automate routine reporting processes to improve speed accuracy and reliability of data delivery.
Translate business requirements into analytical models to support category management territory planning assortment optimization and channel strategies.
Collaborate with IT and data engineering teams to ensure data accuracy system integration and proper data governance.
Present findings and actionable recommendations to senior stakeholders and influence data-driven decisions.
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