Lead Data Analyst
# Lead Data Analyst **Gopuff** · London, England · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Arbeitnow (Германия и EU)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data & Engineering]` --- ### About the Role You will: - 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. You have: - 5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product. - A strong understanding of statistical analysis and experiment design. - A Bachelor's Degree in Business, Mathematics, Statistics, or other quantitative discipline is beneficial, but not essential. - Expert skills in SQL and databases, able to write structured and efficient queries on large data sets. - Experience with dbt is a strong plus, along with Python or R and Github. - Development experience with BI platforms such as Looker, Tableau, Power BI. Experience with Looker and LookML in particular is strongly preferred. - A strong and confident communication style, with good knowledge of data visualisation and storytelling. - A high degree of curiosity, comfortable gathering and analysing large amounts of data across a variety of business dimensions. - The role will be London-based, with the candidate ideally based in/around London or able to come to the office on a regular basis. Benefits: - We offer comprehensive medical, dental, vision and Mental health support to all eligible employees. - Company RSUs (Restricted Stock Units). - Gopuff employee rewards (including some great brand partnership deals). - Annual performance appraisal and bonus. Find Jobs in United Kingdom on Arbeitnow
- Data & Engineering
Наблюдалась 2026-10-12, впервые 2026-10-12, источник — Arbeitnow (Германия и EU).