Senior Analytics Engineer - User Platform Insights

What You'll Do

• Lead long-term internal initiatives on topics such as data infrastructure, data quality, data-informed decision making, new ways of working, technical health, and more
• Engage with senior leadership and promote data driven development practices. Work closely together with engineering teams to ensure high data literacy
• Guide engineering teams in developing data models that tie together disparate data and assist with building an ecosystem of analysis-friendly datasets that empower research and analytics
• Design, implement and maintain high quality datasets and data pipelines in Python, and SQL on BigQuery and GCS
• Collaborate closely with engineers, data scientists and team leads across the mission to design and promote shared methodologies to take data-informed decisions across R&D

Who You Are

• You have 5+ years of experience in the development of data products (using Python and SQL)
• You have a track record of taking open-ended analytics goals and translating them into production-quality datasets
• You are comfortable stepping through ETL processes and tracing data flows through complex DAGs
• You are knowledgeable in data modelling, data access and data storage techniques.
• You have strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake) and are comfortable with performance optimization, data partitioning, and window functions
• You are a communicative person who values building positive relationships with colleagues and partners and enjoys mentoring and teaching others
• You are able to operate effectively and autonomously across multiple teams in situations of ambiguity, with only high-level direction
• Experience with GCP tooling is a plus
• Experience with dbt is a plus
• Experience with scala is a plus

Where You'll Be

• For this role, you will be based in London, UK