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You will be updated with latest job alerts via emailData Organisation and Structuring
Organise disparate data sources (internal and external) into coherent data models aligned to business needs.
Build and maintain semantic layers to simplify data access and enable self-service analytics for business users.
Stakeholder Collaboration
Translate business questions into data requirements and ensure data assets meet these needs.
Act as a liaison between business users and technical teams (i.e. IT Data Science etc.)
Work with business teams to define key performance indicators (KPIs) and ensure consistency in metrics and reporting across the organization.
Data Analysis & Modelling
Analyse large volumes of structured and unstructured data from various sources both internal and external market data.
Use SQL and other programming tools (e.g. Python R) to clean transform and prepare data for analysis.
Design and document data pipelines workflows and transformations to ensure data consistency and usability.
Reporting & Data Visualisation
Leverage tools such as Snowflake Power BI Tableau or other BI platforms to support data visualization and reporting needs.
Stay informed about emerging technologies and methods in AI data analytics and FMCG business processes.
Qualifications :
Curiosity: Continuously eager to learn improve systems processes and tools while uncovering unexpected connections between data points that lead to valuable insights.
Programming: know at least one of Python SQL R with the ability and willingness to learn the other two. Snowflake or Databricks knowledge is a plus.
Data Literacy: Ability to prepare high-quality datasets that preserve the core meaning of the data enabling quick understanding of its relevance and implications for the problem at hand.
Communication: a great communicator at all levels capable of managing stakeholders expectations.
FMCG Knowledge: prior experience working at an FMCG company in a data or analytics focused role is a plus.
Additional Information :
At Red Bull we exist to give people wiiings. To achieve that we recognise the value that comes from having a highly diverse workforce that has the freedom and responsibility to realise their ideas and seize opportunities. We make recruiting decisions based on experience skills potential and talent: everyone is welcome here.
Remote Work :
No
Employment Type :
Full-time
Full-time