HEINEKEN - the world's most international brewer. It is the leading developer and marketer of premium beer and cider brands. Led by the Heineken® brand, the Group has a portfolio of more than 300 international, regional, local and speciality beers and ciders. We are committed to innovation, long-term brand investment, disciplined sales execution and focused...
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This role is responsible for analyzing and interpreting data to provide insights and recommendations to stakeholders. They will work with various teams to gather requirements, perform data analysis, and create reports and visualizations to communicate their findings.
Key Responsibilities:
Partner with business stakeholders to understand data needs and design solutions that meet organizational objectives.
Gather, process, and analyze large and complex datasets using SQL, Python, R, or similar tools.
Develop reports, dashboards, and visualizations that clearly communicate insights to stakeholders.
Design, implement, and maintain data models and schemas to support efficient querying and analysis.
Ensure data quality and integrity through validation, cleansing, and enrichment processes.
Collaborate with cross-functional teams to integrate analytical solutions into broader systems and applications.
Conduct exploratory data analysis and data mining to uncover patterns, trends, and relationships.
Maintain documentation of data structures, flows, and processes to support ongoing development and knowledge sharing.
Stay current with emerging technologies and trends in data analytics, and actively share knowledge with the team.
Contribute to strategic planning and decision-making related to data management and analytics initiatives.
Education and Experience:
Bachelor’s degree in computer science, Statistics, Engineering, Mathematics, or a related field
Minimum of 5+ years of experience in data analysis or a related field.
Experience in the FMCG industry.
Proficient in SQL and data querying.
Experience with data analysis tools and languages such as Python, Databricks, R, or SAS.
Familiarity with BI reporting tools such as Power BI, Tableau, or SAP BIP is a plus.
Solid understanding of data modeling, ETL processes, and relational databases.
Strong problem-solving and analytical skills.
Strong collaboration skills and experience working with cross-functional teams.
Ability to work independently and as part of a team.
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