• Collaborate with Data Analysts, Product Managers, and Engineers to design and implement analytics-ready data models that enables data capabilities and decision-making.
• Build and maintain robust, scalable data pipelines using tools like dbt, Airflow, and Python to transform raw data into clean, reliable datasets.
• Develop and optimise semantic layers and metrics definitions to support consistent reporting across BI and Analytic tools.
• Ensure data quality, reliability, and performance across analytics workflows, proactively identifying and resolving issues.
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Requirements

• 1+ years experience in data modelling, analytics engineering, or BI development, ideally in fast-paced or high-growth environments.
• Strong proficiency in SQL and experience with dbt, Airflow, and modern data warehouses like Snowflake or BigQuery.
• Familiarity with BI tools (e.g., Looker, Tableau, Omni) and designing intuitive, scalable dashboards.
• A solid understanding of data lifecycle and analytics workflows, from ingestion to insight.
• Experience working cross-functionally with Analytics, Product, and Engineering teams to deliver impactful data solutions.
• Basic understanding and experience in using AI tools to optimise your day to day and improve processes
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