Data Governance and Documentation: Take charge of data governance, ensuring data integrity and consistency across the board. Your documentation will guide best practices and support data-driven decision-making processes.
Engage with business units to identify KPIs and initiate projects.
Determine the availability of data in our data lakehouse and identify or define necessary data structures.
Perform iterative data analysis, including understanding, transforming, and aggregating data to establish KPIs.
Develop recommendations for data models and collaborate on report building and data visualization.
Lead the operationalization of data calculations and ensure comprehensive documentation and data governance.
Translate business requirements into data needs, define data models, and set standards for data providers.
Work within Data&AI squads, collaborating with data engineers, data analysts, and data scientists to leverage a wide range of competencies for project needs.
Utilize the latest technologies, including Azure, Google Cloud, Databricks, pySpark, and Power BI, to analyse data and generate insights.
Requirements & Skills:
Bachelor’s or Master’s degree in a relevant field (Computer Science, Data Science, Statistics, etc.).
Relevant experience in data analysis, business intelligence, or related areas, preferably with exposure to global or multi-market operations.
Proficiency in PySpark, SQL, and Python.
Familiarity with cloud platforms (Azure, AWS, Google Cloud) and big data technologies.
Experience with data visualization tools (e.g., Power BI, Tableau).
Strong ability to analyze large datasets and generate actionable insights. Good business acumen to understand company goals and KPIs.
Knowledge of data governance principles and practices.
Excellent communication skills, able to present complex data insights clearly.
Team player with experience working in cross-functional teams.
Proficiency in English is required. Additional language skills are a plus
