
Advanced Analytics: Develop innovative measurement and analytical approaches that build an understanding of performance and customers, embedding these learnings into day-to-day decision-making across the organisation.
Quantitative Analysis: Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights.
Strategic Influence: Influence both strategic and tactical decision-making among leadership and cross-functional teams through strong communication and by proactively identifying opportunities for improvement.
Data Infrastructure: Act as the primary partner for central Analytics & Data Engineering teams to implement reliable and scalable data pipelines that manage and transform essential information.
Commercial Modeling: Build the necessary models and tools to inform pricing strategies, helping stakeholders maintain a competitive position versus competitors while maximizing margin opportunity.
Insight Integration: Partner with Customer Insights teams, supporting customer and competitor research projects and helping to embed those learnings into operational workflows.
Data Culture: Proactively build and nurture a culture of data-driven decision-making by coaching and supporting teams to increase their data literacy and confidence.
Mentorship: Support and mentor other analysts in the team to help them develop their skills and deliver high-quality results.
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Between 2,000 - 10,000 employees
2013
$3,449,710,080
Series H
$1,000,000,000 USD
Series G
$1,150,000,000 USD
Series F
$377,500,000 USD
Series E
$750,000,000 USD
Series D
$108,500,000 USD
Series C
$42,500,000 USD
Series B
$12,960,000 USD
Series A
$8,250,000 USD