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Tier-1 brand, metro location, mid-level generalist analytics role with broad BI/SQL/Python requirements drives high competition.
Core data and analytics skills are transferable, but sales/commercial and FMCG distribution knowledge increases domain specificity.
Explicit 5–8 years plus mandatory Power BI, SQL, Python, ETL and sales-analytics experience make filters high.
Drive data-led decision-making and operational efficiency for senior sales stakeholders by managing analytics, data science, and data engineering end-to-end.
Develop and maintain scalable data solutions including ETL pipelines, predictive models, and Power BI dashboards to track sales KPIs and uncover business opportunities.
Translate complex data and model outputs into actionable insights and business narratives to influence strategic sales planning and process improvements.
Bachelor’s degree in Business, Engineering, Data Science, Computer Science, Statistics, or related field; Master’s preferred.
5–8 years of experience in Sales Analytics, Business Intelligence, Data Science, or Data Engineering roles.
Advanced skills in Power BI, SQL, ETL processes, and working knowledge of Python/R for data analysis and modeling.
Fluency in English and experience engaging with senior stakeholders in cross-functional, matrixed organizations.
Experienced in end-to-end data solution design combining analytics, data science, and data engineering to support commercial sales functions.
Strong understanding of sales KPIs, commercial performance drivers, and sales processes including budgeting and revenue management.
Strategic thinker able to partner with senior sales leadership for predictive and prescriptive insights with excellent data storytelling and stakeholder influence.