Lead Data Analyst Job London area,Greater London England UK,IT/Tech

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 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…