Data Product Manager

What we do

Zero
100 is a membership-based intelligence company that connects, informs, and inspires the world's most influential C-Level Operations & Supply Chain Officers – and their teams – to unlock the true potential of the AI and Digital Revolution for the lasting benefit of business and our planet. Our members use Zero
100's research and advisory services to shape their supply chain strategies, and they harness the power of our community to expand their thinking, challenge their assumptions, and accelerate progress on their most important digitization and decarbonization initiatives.

With a rapidly expanding headquarters in central London, we're proud to be backed by leading investors and supported by an impressive list of founding members that includes Unilever, Google, The Estee Lauder Companies, Toyota and many others.

Note that this is a primarily office-based role (~4 days per week).

We are hiring a London-based Senior Analyst, Data & Insights to deliver high-quality, evidence-based analysis that helps the world's top operations and supply chain leaders make better decisions. Your work will directly inform the research, presentations, and advisory services we deliver to our members, translating complex datasets into clear, decision-oriented narratives for C-suite audiences.

We're looking for someone with strong analytical fundamentals who has developed practical working habits with AI tools and understands where they genuinely improve analytical workflows - and where they don't. You should know what good analysis looks like well enough to recognize when AI-generated output is useful, when it needs refinement or validation, and when it shouldn’t be relied upon. We’re looking for someone who sees these tools as part of a rigorous analytical workflow, not a substitute for structured thinking, sound judgment, or domain understanding.

The right candidate has experience translating data into insights for senior or executive stakeholders, not just building dashboards, but crafting narratives that drive decisions. A consulting-like mindset (comfort with ambiguity, structured thinking, ability to work across diverse problem spaces) is important. You're a strong collaborator who can partner effectively with researchers, understand what customers need, and deliver work that improves customer workflows.

As you grow into the role, there will be meaningful opportunity to shape what we investigate, bring forward original insights, and engage directly with customers.

Beyond the day job, we are looking for candidates who share our enthusiasm about the potential for Zero
100 to have a positive impact on the supply chain profession and (more broadly) the planet.

• Deliver data analysis in partnership with the Research team, producing visualizations and data points that feed into customer-facing deliverables (slides, reports, presentations).
• Transform complex datasets into clear, insight-driven narratives tailored for executive audiences.
• Scope data needs for new analyses, partnering with data engineering on pipeline work and leading on transformation, analysis, visualization, and storytelling.
• Ensure quality and integrity of all insights delivered, maintaining a high bar for accuracy and clarity.
• Synthesize across structured and unstructured sources – survey data, executive interview transcripts, operational datasets, and qualitative research notes – to develop insights that wouldn't surface from any single source alone.
• Leverage AI tools (including our internal LLM) to accelerate analysis, explore data, and push the boundaries of how insights are generated.
• Collaborate closely with research, design, and customer-facing teams to understand stakeholder needs and deliver work that exceeds expectations.
• Over time, identify opportunities to proactively surface new insights, propose new lines of inquiry, and contribute to the evolution of our data products.

• 5-7 years of experience in data analysis, insights, or a related field, with demonstrated ability to translate data into narratives for senior/executive audiences.
• Strong analytical fundamentals: SQL required, Python…