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Head of Data Analytics

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Summary

Head of Data Analytics at an entertainment-sector business group in Lisbon: leading data analysis projects, building dashboards and automated KPI reporting, applying statistical and machine learning models, and mentoring junior analysts. Core stack includes SQL, Python/R, Tableau or Power BI, and cloud/big data platforms.

COMPANY

Business group in the entertainment sector.

CANDIDATE

The selected candidate will be responsible for:

  • Leading data analysis projects to identify patterns, trends, and insights within large and complex data sets;
  • Applying statistical techniques and predictive models to solve business problems, support strategic decision-making, and forecast outcomes;
  • Developing interactive reports and dashboards that clearly communicate findings to various stakeholders (both technical and non-technical);
  • Designing and implementing data collection, cleaning, and transformation processes to ensure data integrity and accuracy;
  • Building and maintaining automated reporting systems to monitor KPIs and performance metrics;
  • Working with visualization tools such as Tableau or Power BI to present data in a clear and engaging manner;
  • Collaborating with marketing, sales, finance, and product teams to understand their needs and translate data into practical recommendations;
  • Supporting the continuous improvement of data analytics processes and organizational best practices;
  • Mentoring junior analysts and contributing to the development of a data-driven culture.

PROFILE

  • Bachelor's degree in Data Science, Statistics, Business Analytics, or similar areas (Master's preferred);
  • Minimum of 10 years of experience in data analysis roles, with at least 5 years in senior or leadership positions;
  • Proficiency in SQL, Python, R, or equivalent languages for data analysis and processing;
  • Strong experience with visualization tools such as Tableau or Power BI;
  • Solid knowledge of Big Data technologies, ETL processes, and Cloud platforms (AWS, Google Cloud, Azure);
  • Ability to apply machine learning techniques and statistical models.

Opportunity to join a leading company in its sector.

Shortlisted candidates will be contacted within a maximum of 10 business days.

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