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Tier-1 brand plus common mid-level data analytics skillset yields moderate candidate competition.
Role requires commercial sales and FMCG distribution knowledge, reducing cross-industry transferability.
Multiple mandatory technical skills (Power BI, SQL, Python, ML, ETL) increase screening strictness without explicit years requirement.
Own end-to-end analytics, data science, and data engineering for commercial sales strategy to improve sales performance and operational efficiency.
Develop and maintain ETL pipelines, predictive models, and Power BI dashboards to provide actionable insights for senior sales leadership.
Translate complex data into business narratives and recommendations, driving data-led decision-making and continuous improvement.
Proficiency in Power BI, SQL, ETL, Python, and machine learning techniques as applied to sales data analytics.
Experience analyzing sales KPIs and working with large, structured and unstructured datasets.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to develop scalable data solutions and automate reporting processes within a commercial sales environment.
Experienced in bridging data, technology, and sales strategy to drive business outcomes in a commercial or FMCG-like sales environment.
Comfortable working closely with senior sales leaders and cross-functional teams to translate business challenges into data science solutions.
Strong capability to build predictive models, design ETL pipelines, and create self-service dashboards for leadership decision support.