Senior Data Analyst

We are looking for an experienced Senior Data Analyst in London to scale our growth & adoption analytics initiatives.

You will be a trusted data advisor to our business partners, a technical coach to your peers, and the lead in terms of shaping AI-first data models, workflows, and agent-ready-datasets.

Success in this role will rely on marrying a strong analytics background with product and business acumen to deliver highly strategic and compelling insights that accelerate growth and influence adoption.

Responsibilities:

• Own the development and maintenance of agent-ready curated datasets end-to-end
• Provide analytics support and a strategic perspective to our business partners
• Partner with data engineers, product managers, and stakeholders to enable data-driven answers to key business problems
• Review Merge Requests created by your team of humans and agents
• Take initiative to gather requirements, define, build, and maintain pipelines and metrics
• Tell easily digestible and highly actionable stories with data to help stakeholders understand analytical insights

Requirements:

• B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
• Demonstrable proficiency with analytics-relevant AI-tooling
• 4+ years experience in a centralized data analytics teams in close partnership with business stakeholders
• Expert-level proficiency in writing and optimizing complex SQL queries is mandatory, with a proven ability to performance-tune complex queries and manage analysis workflows against large, petabyte-scale datasets
• 3+ years experience working in version control environments using platforms such as Gitlab or Github
• 2+ years experience working with job orchestration tools like Apache Airflow, both as a pipeline developer and reviewer
• 2+ years experience with data ingestion and transformation frameworks (e.g., dbt, Fivetran, or custom/in-house developed platforms)
• Initiative, curiosity, strong stakeholder engagement, and empathy
• Experience translating business questions into analysis frameworks, converting results into business recommendations, and presenting those to stakeholders

Nice-to-Have Experience:

• Experience and/or a keen interest in internet security, protocols, and edge-development
• Analytics experience in a fast-growing technology, SaaS, or subscription-based business
• Experience with statistical analysis programming languages (Python, R etc.)