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Data-Driven Category Development Lead

2 months ago

London, Greater London, United Kingdom goPuff Full time

Gopuff is revolutionizing the way people access everyday essentials, delivering groceries, household products, and even alcohol in minutes. To fuel our rapid growth, we rely on data to inform every decision we make.

We're seeking a talented Lead Data Analyst for Category Development to join our EU team. You'll play a pivotal role in shaping our commercial strategy and supply chain performance by uncovering actionable insights from our vast datasets.

Your Impact:
  • Develop innovative analytical approaches to understand customer behavior, market trends, and product performance. Embed these insights into the daily decision-making processes of our Category & In-Stock teams.
  • Uncover hidden patterns and trends through rigorous quantitative analysis and experimentation. Translate complex data into clear, actionable recommendations for leadership and category managers.
  • Influence strategic and tactical decisions across the EU by effectively communicating your findings and proactively identifying opportunities for improvement.
  • Build sophisticated models to inform pricing strategies, ensuring we remain competitive while maximizing profitability.
  • Analyze the effectiveness of our inventory management policies and provide data-driven recommendations to optimize stock levels and minimize waste.
  • Collaborate with our Customer Insights team to support research projects and integrate customer feedback into category development strategies.
  • Partner with our Operations team to ensure accurate inventory reporting and capacity planning, empowering the In-Stock team to make informed buying decisions.
  • Foster a data-driven culture by coaching and mentoring teams to enhance their data literacy and analytical skills.
Your Expertise:
  • 5+ years of experience in analytics or data science, ideally within the grocery, retail, or supply chain industries.
  • A strong foundation in statistical analysis and experimental design.
  • Proficiency in SQL and databases, with the ability to write efficient queries on large datasets.
  • Experience with dbt, Python, R, and GitHub is a significant advantage.
  • Expertise in BI platforms such as Looker, Tableau, or Power BI, with a preference for Looker and LookML.
  • Excellent communication skills, with the ability to effectively present data-driven insights through compelling visualizations and storytelling.
  • A highly analytical mindset, with a passion for uncovering hidden patterns and driving data-informed decisions.