Senior Data Analyst I

About the Team

About the Role

Search Evaluation and Analytics

• Analyze search and retrieval performance, including ranking quality and relevance.
• Define and standardize search evaluation metrics such as NDCG, MAP, recall, precision, and click-through rate.
• Analyze query behavior, user signals, content performance, query intent, and retrieval gaps.
• Support evaluation of downstream generative AI features that depend on retrieval quality.

Experimentation and Reporting

• Design and lead A/B testing and experimentation frameworks for search and ranking improvements.
• Partner with product and data science teams to define success metrics and experiment strategies.
• Ensure statistical rigor and build reusable experimentation templates and scalable analysis workflows.

Visualization and Communication

• Own dashboards and reporting systems tracking search performance and user engagement.
• Communicate actionable insights to technical and business stakeholders through clear data storytelling.
• Enable self-service analytics through well-designed reporting tools.

Data Management and Collaboration

• Use large-scale datasets and modern platforms such as Databricks, Spark, and SQL-based systems.
• Maintain data quality, metric consistency, and instrumentation reliability.
• Collaborate with engineering to improve logging, tracking, and search-system observability.
• Partner with search data scientists, engineers, and product teams and help elevate measurement practices.

Required Qualifications

• 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.
• Experience with Databricks or similar large-scale data platforms.
• Strong experimentation, A/B testing, statistical analysis, and search metrics experience.
• Ability to translate complex data into actionable insights and influence decisions.

Preferred Qualifications

• PhD in a related field or equivalent practical experience.
• Experience with search, ranking, or recommendation systems.
• Familiarity with information retrieval, clickstream data, user behavior analytics, event tracking, ML ranking, RAG, or GenAI applications.

Benefits and Working Arrangements

• The organization offers flexible working hours, wellbeing initiatives, parental and carers' leave, study assistance, sabbaticals, healthcare-related benefits, pension participation, and other country-specific benefits.