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Transforming Business Insights
2 weeks ago
- Drive business growth by directly influencing key areas such as risk assessment, product development, customer growth, and operational efficiency through data-driven insights.
- BUILD AND SCALE our modern data stack (centred on Snowflake and dbt), ensuring our analytics capabilities scale with our rapid growth and diversification.
- LEAD & MENTOR your team, fostering a culture of technical excellence, collaboration, and continuous learning within the data function.
- Spearhead the roadmap for analytics, ensuring tight alignment with our core objectives and becoming a trusted advisor to leadership.
- Team Leadership: Lead, coach, and mentor a team of Analytics Engineers and Data Analysts, promoting individual development and maximizing team impact.
- Strategic Roadmap: Develop, own, and execute the strategic roadmap for data analytics and business intelligence, prioritising initiatives that deliver maximum value.
- Technical Oversight & Data Platform: Oversee the architecture, development, and maintenance of our analytics infrastructure, including our Snowflake Data Warehouse and our dbt-centric transformation layer.
- Insight Generation & Delivery: Partner closely with stakeholders across Product, Risk, Sales, Marketing, and Operations to understand their needs, translate them into analytical requirements, and deliver actionable insights.
- Best Practices & Process Optimisation: Champion and implement best practices in analytics engineering, data modelling, data governance, testing, and documentation to improve data reliability and team efficiency.
- 6+ years of experience in data analytics, business intelligence, or analytics engineering, with at least 2+ years of proven experience managing and leading analytical teams.
- Demonstrated ability to build, mentor, and motivate high-performing technical teams, with a willingness to engage deeply in technical challenges alongside the team.
- Deep proficiency in SQL for complex querying and data manipulation.
- Extensive hands-on experience designing, building, and maintaining data models and transformation pipelines using dbt.
- Strong understanding of modern data warehousing concepts and practical experience with cloud data warehouses, specifically Snowflake.
- Proficiency with data visualization tools (e.g., Tableau, Omni, Looker, Power BI).