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Data Insights Manager

hace 1 mes

Madrid, Madrid, España Loewe A tiempo completo

As a key member of the LOEWE team, you will play a crucial role in bridging the gap between business teams and data analysis. Reporting to the Head of Digital Data and Ecomm Performance, you will be responsible for leveraging data and advanced analytics to drive business growth and improve customer experience.

Your key areas of impact will include digital transformation, customer experience, and overall business sales. You will work closely with CRM, Retail, and Marketing teams to provide insights for advanced analytics and transformation purposes, and with the BI department to help develop a roadmap.

Key responsibilities will include:

  • Acting as the link between business teams and BI for advanced analytics matters, maintaining an overall view to drive synergies between use cases.
  • Collaborating 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.
  • Developing the narrative and recommendations based on insights.
  • Synthesizing complex analytics-derived insights into compelling communications that are clear, concise, and suited to a variety of audiences.
  • Developing and overseeing the planning of use cases involving AI, Gen AI, and advanced analytics initiatives, including designing a roadmap to operationalize use cases at scale.
  • Engaging with business functions to identify and prioritize projects where advanced analytics could be beneficial.
  • Identifying improvements, launching hypotheses and proposing actions to optimize sales through data understanding, measure and testing.
  • Working and supporting business areas on the analysis and monitoring of the results of the advanced analytics model.
  • Supporting teams in Data Governance, Quality and Management creating a framework to work across departments.

Requirements include:

  • 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, with the ability to plan, execute, and monitor projects, particularly those involving multiple business functions and technical teams.
  • Knowledge of data management concepts and analytics techniques, including various data collection methods and how data flows across systems.
  • High proficiency in English and Spanish, as the candidate will be operating in a multilingual, international environment.