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A rapidly growing second-hand car retailer, the company has doubled in size post-Covid. With dedicated teams managing buying, selling, and aftersales, data-driven decision-making is central to optimising operations and supporting continued expansion.
Role Overview
Reporting to the Head of Finance, this role bridges technical expertise and business strategy, working across departments to ensure data is effectively structured and leveraged.
Your day-to-day will involve:
Defining and prioritising key data metrics to support business objectives
Maintaining and optimising the Snowflake data warehouse, ensuring scalability and efficiency
Managing extract, store, transform (EST) processes using Fivetran, Snowflake, and DBT
Developing and monitoring dashboards to provide real-time insights in Power BI
Conducting deep-dive analysis into geographical sales trends, market demand, and performance drivers
Presenting findings to senior stakeholders, translating technical insights into strategic recommendations
Requirements
Must-have: Strong SQL expertise and a data visualisation tool, ideally Power BI
Preferred: Experience with DBT or Fivetran
Solid understanding of cloud-based data warehousing and ETL workflows, such as Snowflake
Multiple years of experience in data engineering, analytics, or a similar function
Ability to engage stakeholders and translate business needs into technical solutions
Interview Process
Virtual competency interview with the Head of Finance
Face-to-face interview with the Head of Finance and CFO
This is a strategic, high-impact role in a fast-paced, data-driven environment. The ideal candidate will be adept at building scalable data solutions, providing actionable insights, and shaping the company’s analytical capabilities.
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