Senior Data Analyst I

As Senior Data Analyst, you will lead analytics for search and retrieval systems, shaping evaluation strategies and metrics to boost ranking quality and user experience. You’ll partner with product and data science teams to turn data into actionable insights that drive improvements across global products. You’ll own analytics workflows from measurement design to reporting, enabling data-driven decisions at scale. This is a chance to influence Enterprise search capabilities within a mission‑driven, innovation‑oriented organization.

• flexible working hours
• holiday allowance with option to buy extra days
• private medical benefits
• pension scheme
• Save As You Earn share option scheme
• time off for parental leave and carers

• Analyze search and retrieval system performance focusing on ranking quality and relevance
• Define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR)
• Examine query behavior, user signals, and content performance to find optimization opportunities
• Perform deep-dive analyses on ranking, query intent, and retrieval gaps
• Support evaluation of downstream applications including GenAI-powered features dependent on retrieval quality
• Design and lead A/B testing and experimentation frameworks for search and ranking improvements
• Collaborate with product and data science to define success metrics and experiment strategies
• Ensure statistical rigor in experiment design, analysis, and interpretation
• Build reusable experimentation templates and scalable analysis workflows
• Own and evolve dashboards tracking search performance and user engagement
• Communicate insights through clear data storytelling to technical and business stakeholders
• Enable self-service analytics for partners via well-designed reporting tools
• Work with large-scale datasets using Databricks, Spark, SQL-based systems
• Maintain data quality, metric consistency, and instrumentation reliability
• Collaborate with engineering to improve logging, tracking, and observability of search systems
• Act as analytics partner to search data scientists, engineers, and product teams
• Elevate the team’s understanding of retrieval performance and measurement frameworks

• Master’s or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)
• Significant experience in data analysis, business intelligence, or analytics roles
• Proficiency in SQL and Python for large-scale data analysis
• Advanced experience with data visualization and BI tools (Tableau, Power BI, Looker, matplotlib, seaborn)
• Experience working with Databricks or similar large-scale data platforms
• Excellent understanding of experimentation design, A/B testing, and statistical analysis
• Experience defining and analyzing search/retrieval metrics (NDCG, recall, precision, ranking metrics)
• Proven ability to translate complex data into actionable insights and influence decisions

• Strong communication and storytelling abilities
• Cross-functional collaboration with product, engineering, and data science teams
• Independent, proactive, and able to influence decisions
• SQL
• Python
• Databricks or similar platforms