Data Analyst

• Join our innovative Technology team to drive technological advancements
• Build on a solid foundation of data and help teams solve real world problems
• Shape dashboards, create new data models, and partner with business stakeholders
• Play a key role in enabling data self-service and explore insights
• Build and optimise reports and dashboards in Sigma
• Collaborate with marketing, finance, and ops for data outputs
• Own and evolve core dashboards and reporting pipelines
• Champion self-service BI through training and enablement
• Identify data gaps and improve quality, accessibility, and usability

• Build and maintain pricing models across 20+ countries.
• Analyze large transactional datasets.
• Develop dashboards and reporting tools for business metrics.
• Collaborate with the Head of Product and engineering team.
• Design and evaluate A/B tests.
• Identify anomalies and inefficiencies in data.
• Support the Global Sales Director with insights.
• Contribute to the continuous improvement of data infrastructure.

Senior Data Analyst

• Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance.
• Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR).
• Analyze query behavior, user interaction signals, and content performance to identify optimization opportunities.
• Conduct deep-dive analyses on ranking performance, query intent, and retrieval gaps.
• Support evaluation of downstream applications (including GenAI-powered features) where they depend on retrieval quality.
• Help design and lead A/B testing and experimentation frameworks for search and ranking improvements.
• Partner 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 and reporting systems tracking search performance and user engagement.
• Develop clear, actionable data storytelling to communicate insights to technical and business stakeholders.
• Enable self-service analytics for partners through well-designed reporting tools.
• Work with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems).
• Ensure high standards for data quality, metric consistency, and instrumentation reliability.
• Collaborate with engineering to improve logging, tracking, and observability of search systems.
• Act as a key analytics partner to search data scientists, engineers, and product teams.
• Help elevate the team’s understanding of retrieval performance and measurement frameworks.

• Own end-to-end analysis of revenue and product metrics (acquisition, activation, retention, expansion)
• Build and maintain self-service dashboards in Tableau for non-technical stakeholders
• Write clean, well-documented SQL on Databricks to support the centralized data hub
• Partner with Data Engineers to define and validate data models; be a loud voice on data quality
• Translate business questions into analytical frameworks — and analytical findings into business language
• Contribute to a data culture: define metrics, document definitions, challenge assumptions

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Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst