Analytics Engineer

• In this role, you’ll join our BI team, which is responsible for developing and maintaining our company-wide data platform. The team works across the entire organisation to enable data-driven decision-making and automation at scale
• You will be collaborating with business teams, analytics engineers, and data engineers to bring scalable, reliable, and efficient data models, BI interfaces, and self-service solutions to life, while making our data AI-ready and enabling the adoption of AI-powered analytics
• Work closely with business teams, data analysts, and AI engineers to understand their needs and translate those into effective data solutions
• Utilize dbt, SQL, BigQuery, and Looker/LookML to transform and model both new and existing data sources
• Develop and maintain dashboards, reports, and self-service tools that enable business stakeholders to gain insights and make data-driven decisions
• Drive AI-assisted workflows within the AE function, including agentic development and LLM context management for the dbt repository
• Build and maintain a robust semantic layer with clear metric definitions and documentation to enable reliable AI-powered analytics
• Optimize warehouse efficiency by managing BigQuery costs and implementing effective partitioning and incremental processing strategies
• Provide data modeling expertise to additional team and department members through code reviews and pairing to help deliver optimal and scalable designs and queries
• Promote the adoption of AI solutions and interfaces by educating business users and data developers on their usage

Benefits

• Performance, Learning & Development: Access to resources to help you thrive and build your career within a high-growth, dynamic company
• Equity Participation: All employees have the opportunity to benefit from company growth through our Employee Stock Ownership Plan (ESOP)
• Parental Leave: Up to six months of fully paid parental leave for all new parents
• Flexibility & Well-being: Flexible hours and remote work options to support work-life balance
• Supportive Culture: Unlimited child sick days, free online therapy sessions, and a collaborative, high-performing environment- You take pride in building and maintaining high-quality data solutions and are motivated by creating real impact through data.
• You are comfortable working in fast-paced environments and thrive on collaborating with colleagues from across the business
• You enjoy solving problems, taking ownership, and continuously improving the systems and solutions you work with
• Experience writing dbt tests and unit tests, with a strong focus on data quality and validating results before delivery
• Experience with data models explicitly architected for self-serve and AI access: structured, documented, and reliable enough for business teams, conversational analytics tools, and AI features to consume autonomously
• Excellent written and verbal communication skills in English
• Naturally, being passionate about podcasts, audio content, and entertainment is a big plus!
• A few years (1-3) of experience working in BI, data or analytics engineering, preferably in a fast-paced environment
• Strong experience with SQL, dbt, BigQuery, Git, and data visualisation tools (e.g. Looker)
• Experience working closely with business stakeholders to understand their needs and translate them into effective data solutions
• A collaborative mindset and a passion for continuous improvement and learning
• A good understanding of data modelling and a solid grasp of data warehousing principles
• Experience with Python and/or Airflow for scripting and workflow orchestration (a plus, but not required)- First, please submit a tailored resume that highlights relevant experience. Sharing a cover letter is appreciated, but not expected
• If we pick your application to continue to the interview stage, this is how we plan to run the interview process:
• An initial conversation with a recruiter to set expectations
• A collaborative case discussion with two stakeholders from the team
• An interview with our Chief Finance Officer
• We might tweak the process to keep things smooth and enjoyable. We’ll be conducting interviews continuously, aiming for a start date on January 1 2027
• We are looking forward to hearing from you!