Efetivo
Benito Juarez, Mexico City
Data
Tempo Integral
22-Mar-2023

Responsible for providing the different digital teams with data-driven insights and measurement solutions that guide optimization and optimal decision making. This role is includes working in a consultative fashion with the different digital teams, identifying critical business questions, developing supporting framework and logical solutions. We are problem solvers who apply rigorous analytical skills to assess and steer L’Oreal’s digital investments, driving growth through data-driven insights on efficacy as well as efficiency.

 

Role Responsibilities :

  • Work with O+O data product teams to create measurable online and offline campaign objectives and key performance indicators
  • Determine campaign data and tracking requirements – manage measurement systems for data capture and reporting
  • Ensure teams have access to self-service visualization and reporting tools as well as oversee maintenance of data governance principles within BI platform
  • Collaborate with internal stakeholders on key business initiatives and manages on-going data projects related to digital domain
  • Determine appropriate project prioritization based on potential business impacts that measurement/analytics would enable

Requirements

  • An analyst that can work independently and as part of a team to deliver business insights
  • To be successful in this role, you must have strong skills in written and oral communications, a can-do attitude and the willingness to tackle hard problems in innovative ways
  • Must be able to interpret and clearly communicate results to a non-technical audience through clear and engaging storytelling
  • Also thrives in a fast-paced environment that values cross-team collaboration and building on the success of others
  • Ability to develop and track the performance of comprehensive project plans, specifically to analyze the successful completion of short- and long-term goals
  • Be self-driven, and show the ability to deliver on ambiguous projects with incomplete or dirty data

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