A hybrid Data Analytics role at Gopuff.
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Original listing text, shown exactly as published by the company.
At Gopuff, we don’t just deliver products; we deliver efficiency.
Since 2013, we’ve pioneered the "Instant Needs" category, turning what used to be a 45-minute errand into a 15-minute solution. We are a tech-first, operationally obsessed engine that is fundamentally changing how the world shops.
Now, we’re looking for a Lead Data Analyst to join the front lines of our Data team.
We value drive over pedigree and ego-less collaboration over competition. At Gopuff, data is for empowerment, not gatekeeping. We have zero room for arrogance, but infinite space for curiosity, grit, and a "no job too small" mindset.
If you’re a high-performer who feels stifled by slow-moving corporate machines, this role is for you. You thrive in the "grey area" of ambiguity and are energised by the prospect of leaving a lasting mark on a disruptive industry.
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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.
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Quantitative Analysis: Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights.
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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.
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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.
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Commercial Modeling: Build the necessary models and tools to inform pricing strategies, helping stakeholders maintain a competitive position versus competitors while maximizing margin opportunity.
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Insight Integration: Partner with Customer Insights teams, supporting customer and competitor research projects and helping to embed those learnings into operational workflows.
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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.
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Mentorship: Support and mentor other analysts in the team to help them develop their skills and deliver high-quality results.
Gopuff
Data Analytics
12 open roles on Sydicom
Gopuff delivers everyday essentials in minutes.
Source: GitHub