Analytics and Insights Manager
hace 4 semanas
As a key member of the LOEWE team, the Analytics and Insights Manager will play a crucial role in bridging the gap between business teams and the BI department. This position requires a deep understanding of how data analytics influences key business KPIs, enabling the candidate to design recommendations that have a measurable impact on revenue growth, customer engagement, and operational efficiency.
Key Responsibilities
• Act as the link between business teams (Retail, CRM, Omni & Marketing) and BI for advanced analytics matters, maintaining an overall view to drive synergies between use cases.
• Collaborate with BI to ensure the availability of all data sources across digital and offline touchpoints, ensuring data is qualified for data-driven retail/marketing/CRM activations.
• Develop the narrative and recommendations based on insights.
• Synthesize complex analytics-derived insights into compelling communications that are clear, concise, and suited to a variety of audiences.
• Develop and oversee the planning of use cases involving AI, Gen AI, and advanced analytics initiatives, including designing a roadmap to operationalize use cases at scale.
• Engage with business functions to identify and prioritize projects where advanced analytics could be beneficial.
• Identify improvements, launch hypotheses and propose actions to optimize sales through data understanding, measure and testing.
• Work and support business areas on the analysis and monitoring of the results of the advanced analytics model.
• Support teams in Data Governance, Quality and Management creating a framework to work across departments.
Requirements
• A deep understanding of how data analytics influences key business KPIs, enabling the candidate to design recommendations that have a measurable impact on revenue growth, customer engagement, and operational efficiency.
• Experience in project management. Ability to plan, execute, and monitor projects, particularly those involving multiple business functions and technical teams.
• Knowledge of data management concepts and analytics techniques. Understand various data collection methods, and how data flows across systems.
• High proficiency in English and Spanish is necessary, as the candidate will be operating in a multilingual, international environment
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