Analytics Engineer

Overview

In this Analytics Engineer role, you will help design and build analytical models for enterprise clients and internal users, enabling self-service analytics. You’ll own data pipelines and data quality across multiple projects, collaborating with Engineering, Operations, and Product to fit data products to use cases. You will optimize data models and processes, including LLM-enabled approaches, to be flexible and fit-for-purpose. This is a hands-on, cross-functional role with impact on decision-making.

Pay / Benefits

• bonus
• hybrid work
• London office
• full-time
• compensation 45K–55K
• offers bonus

Responsibilities

• Manage ETL pipelines and data models using SQL, dbt, and Airflow
• Create and maintain interactive dashboards with Power BI and Tableau and engage users
• Transform, analyze, and optimize large quantitative and qualitative datasets
• Own reporting processes with strong governance and version control
• Test and refine analytical scoring, user behavior, and product performance to set relevant KPIs
• Collaborate with product managers, engineers, and ops analysts to derive data-driven insights

Key requirements

• Strong expertise in SQL and Python for Redshift/S3 and SQL Server
• Extensive experience with ETL/ELT processes and APIs using dbt, Airflow, and Talend
• Proficient in Power BI, Tableau, and Metabase for BI visualization
• Knowledge of data modelling and transformation in data pipelines
• Self-starter with proactive problem-solving
• Experience building products in cross-functional, iterative, outcome-driven teams
• Strong communication skills and ability to tailor messages to diverse audiences
• Positive attitude and willingness to learn new skills

• self-starter
• communication
• collaboration
• SQL
• Python
• Redshift