Sr. Business Intelligence

hace 1 semana


WorkFromHome, México McCormick A tiempo completo

Sr. Business Intelligence & Revenue Manager Americas We are looking to hire a Sr. Business Intelligence & Revenue Manager Americas in a Hybrid (60/40) capacity for our site in Mexico City . This is 3 days in the office and 2 days remote. Please submit your CV in English. What We Bring To The Table: Competitive compensation Flexibility and Support for Diverse Life Stages and Choices We prioritize our communities and the planet we share Wellbeing programs including Physical, Mental and Financial wellness Position Overview: This role provides analytical and strategic guidance for end-to-end company data. It requires comprehensive understanding of sell-in, sell-out, scan data, pricing trade spending and other relevant sources enabling KPI visualization, automation and tactical recommendations to enhance top and bottom-line results. The role builds the revenue management framework for pricing strategies, price pocket management, pack size and overall discounting approaches to optimize NSV, profit and market share against the portfolio of brands via cross‑functional influence, external benchmarking, best practices, white spaces and research & modeling needs. Also includes Strategic planning IBP process and Quarterly Business Review support. Key Responsibilities: Business performance enablement & Insights: Consolidate Business Customer and Consumer data to drive cross‑divisional performance visibility and opportunities. Responsible for continuous process improvement of commercial reporting (including automation) and tools. Strategic Planning: Facilitate and drive recommendations for portfolio roles, pricing, budget, commercial calendar and LTP strategy. Develop coach, mentor and hire business intelligence resources. Educate in the business and sales on analytical insights and concepts. Translate industry and global best practices/consulting engagements into action. Required Qualifications: Bachelor’s Degree in Business Analytics, Data Science, Statistics or related field. 8 years of demonstrated ability to lead, analyze, interpret and mobilize tactics & strategies within a commercial framework. 2 years of people management or team leader experience. Knowledge and understanding of data automation systems (Python, C, SQL). Experience and deep understanding of CPG industry, food industry preferred. Strong capability of relevant trade optimization, IBP, commercial planning, price optimization/analytics and ability to aggregate, assess and draw commercial conclusions from the data. Lead interdisciplinary team and provide collaborative leadership. Ability to synthesize data across diverse data sets and drive a cohesive strategy to achieve goals. Strong written and verbal communications including the ability to lead in communication across commercial and technical. Analytical and problem‑solving skills. Sales finance and MKT expertise ideal for statistical interpretation strategy development and commercial activation. Advanced or fluent English (spoken & written). Preferred Qualifications: MBA, Masters in Data Analytics, Masters in Business Intelligence, MBA or Information Systems/Computer Science. Strong educational background and relevant experience in data analytics, business intelligence or a related field. 8 years of commercial analytics, commercial planning experience. Previous pricing analytics work or trade spend optimization highly preferred. Presentation and persuasion skills. External interaction with customers (relatively low) consultants/shares groups (moderate). Financial acumen – critical ability to assess financial information and make balanced commercial recommendations. Key Skills Business Intelligence, Cognos, SQL, Power BI, QlikView, Data Visualization, SSRS, Tableau, SSIS, Data Modeling, Data Warehouse, Data Analysis Skills Employment Details Employment Type: Full‑Time Experience: 8+ years Vacancy: 1 Location: Revenue Manager • Mexico City, Mexico, Mexico As an Equal Opportunities employer, McCormick is committed to an inclusive workforce. #J-18808-Ljbffr


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