Data Analyst at The Heineken Company

Purpose

The Data Analyst 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

• Work with business stakeholders to understand data requirements and design data solutions that meet their needs.
• Gather, process, and analyze large and complex datasets using SQL, Python, R, or other tools.
• Create reports, dashboards, and visualizations that effectively communicate insights to stakeholders.
• Develop and maintain data models and schemas that support efficient querying and analysis.
• Ensure data quality and accuracy by conducting data validation, cleansing, and enrichment processes.
• Collaborate with other teams to integrate data analysis solutions with other systems and applications.
• Participate in strategic planning and decision-making related to data analysis and data management.
• Keep up-to-date with the latest technologies and trends in data analysis and share knowledge with the team.
• Conduct data mining and exploratory data analysis to identify patterns and relationships in the data.
• Provide insights and recommendations to the Data Engineering and Data Science teams based on their analysis of the data as input to their development and maintenance of data solutions.
• Develop and maintain documentation on data structures and data flows to support the Data Engineering team in their work.

Education and Experience

• Bachelor’s degree in Computer Science, Statistics, Engineering, Mathematics, or a related field
• Minimum of 2-3 years of experience in data analysis or a related field.
• Proficient in SQL and data querying.
• Experience with data analysis tools such as Python, R, or SAS.
• Familiarity with BI reporting tools such as Power BI, Tableau, or SAP BIP is a plus.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Experience with Agile and Scrum methodologies