lendable - Staff Analytics Engineer
Requirements
• More specifically, we’re looking for: • Strong experience with ELT pipelines and transformation at scale, using dbt. • Excellent stakeholder management skills, with a proven ability to influence and negotiate with both technical and non-technical stakeholders • Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability. • Good judgement in balancing longer-term platform improvements with day-to-day business needs. • The ability to spot inefficiencies in existing data workflows and improve them independently. • Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows. • Experience with Snowflake or another modern cloud data warehouse. • An interest in helping analysts raise their technical bar through support, mentoring, and better shared patterns.
Responsibilities
• Owning and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting. • Driving the development of our dbt models and transformation layer, working with analysts and stakeholders to improve the speed and quality of insight generation. • Helping define good modelling patterns, architecture, and implementation standards across the analytics engineering layer. • Supporting and mentoring analysts at different technical levels, helping them build stronger engineering habits and become more effective with data • Mentoring an analytics engineer, setting the direction and priorities for the team • Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to make sure data is generated, modelled, and used effectively. • Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time. • Scaling our data infrastructure to proactively support the requirements of a rapidly growing business. • OUR MODERN DATA STACK • You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.
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