Job Summary: Strategic Data Analyst to lead KPI monitoring, develop dashboards, and optimize profitability, supporting critical decisions. Key Highlights: 1. Lead monitoring and analysis of marketing, sales, and delivery KPIs. 2. Develop executive dashboards and strategic reports for the Executive Board. 3. Support strategic decisions regarding pricing, campaigns, and investments. **Responsibilities:** * Lead daily monitoring and analysis of marketing, sales, and delivery KPIs, ensuring data consistency, reliability, and strategic insight. * Develop and enhance executive dashboards and strategic reports to support the Executive Board on a weekly basis. * Propose structural improvements to analytical models, metrics, and departmental processes as needed. * Manage delivery operations, profitability, and campaigns. * Analyze delivery operation profitability, platform fees, and promotional campaign impact on a weekly basis. * Support strategic decisions on pricing, combo offerings, campaigns, and digital platform investments as needed. * Consolidate delivery campaign impact reports and present insights to leadership on a monthly basis. * Monitor portfolio, market, and expansion. * Conduct in-depth analysis of inventory turnover, product mix, profitability, and consumer behavior to support decisions on product launches, discontinuations, and expansions on a monthly basis. * Monitor market trends, competition, and industry strategic moves on a monthly basis. * Support feasibility studies for new channels, products, and expansions. * Support leadership and data governance. * Act as a strategic partner to Marketing, Commercial, Trade, Operations, and PD departments. * Ensure data governance, standardization, and continuous improvement of data usage at Perdomo Doces. **Requirements:** * Bachelor’s degree completed in Engineering, Computer Science, Information Systems, Statistics, Business Administration, or related fields. * Experience with **Power BI**, **Power Query** for ETL and data modeling. * Strong analytical capability and logical reasoning. * Good communication skills for interaction with both technical and non-technical teams. **Preferred Qualifications:** * Experience in Food Industry and Retail * Knowledge of Python or R