One of the most important insurance companies in the world, being Top Employer in 5 countries of the European Union, is in a moment of transformation of all digital assets. Aiming to develop the best services, user experience to work in a changing industry. Company that seeks personal and professional growth of the teams, developing all IT teams under Agile methodologies. Working on international projects to make the firm a disruptive environment and with the ability to make a global impact on all the assets it offers. 

• Coordinate the definition and use of business KPIs from all areas of the company, ensuring clarity, consistency and accuracy, depending on the head of content and data governance of the company.
• Collaborate in the design of useful, practical and clear dashboards, respecting existing standards and frameworks.
• Promote the proper use of the defined KPIs by supporting departments in the location, mode of use and detection of needs.
•  Manage tasks, people and deliverables.
•  Interlocution with business areas.

• Ensure compliance with the guidelines of the data strategy, by supervising the work done by the people in charge and the correct orientation of business requirements.
• Work very close to the business departments, helping them to define their follow-up KPIs and formalize these definitions for their proper development by the data engineering team from a technical point of view.
• Design and develop monitoring dashboards to enable business areas to correctly monitor and obtain insights.
• Provide support for solving problems of quality, coherence, clarity or operation related to KPI´s or dashboards to ensure that analytical information is used in the most powerful way possible.

• High knowledge of KPIs related to the insurance sector (customer service, registrations, cancellations, premiums, policies, claims, digital and campaign performance, productivity, NPS, fraud ...)
• Mastery of functional and technical definition methods of KPIs.
• Ability to communicate with both business departments and data engineering. Strong knowledge of datawarehousing
• concepts 
• Mastery of PowerBI and SQL. Experience in design and development of effective visualizations.
• English level B2, spoken and written.
• Organizational skills, methodical person, with attention to detail and good ability to solve complex problems.
• Results orientation.
• Knowledge of cloud / Azure environments.
• Experience in agile methodologies.