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Zero100 is a supply chain research and consulting company focused on helping organizations build more digital and carbon-neutral operations. Its work spans supply chain management insights, simulation-based risk assessment, and artificial intelligence solutions for compliance. Zero100 also brings together a professional community interested in sustainable, innovative approaches to logistics and supply chain challenges.
Data Insights Analyst, Zero100, London Hybrid
Turn complex supply-chain data into evidence-based narratives for Zero100’s research and advisory work. Support executive decision-making through structured analysis, clear visualizations, and actionable insight.
Description
- Translate questions from customers, researchers, and senior analysts into structured analyses, clear conclusions, and practical recommendations.
- Convert complex datasets into concise, insight-led narratives for executive audiences.
- Define data requirements, collaborate with data engineering on pipelines, and manage transformation, analysis, and visualization within an assigned scope.
- Uphold rigorous standards for analytical accuracy and communication clarity.
- Examine both structured and unstructured inputs, including surveys, executive interview transcripts, operational data, and qualitative research notes.
- Apply AI tools, including the internal LLM, to speed analysis while checking and improving the resulting outputs.
- Work with research, design, and customer-facing colleagues to clarify stakeholder needs and produce dependable deliverables.
- Develop new insights and avenues for investigation as the role expands.
Requirements
- Bring 2–4 years of experience in data analysis, insights, or a related discipline, with evidence of—or strong potential for—turning data into narratives for senior audiences.
- This role is not suited to candidates whose recent experience has focused primarily on building or maintaining dashboards, pipelines, or reporting infrastructure.
- SQL proficiency is required; Python experience is advantageous, along with a willingness to work in platforms such as Databricks.
- Demonstrated experience creating data visualizations and charts with Excel, PowerPoint, or analytical software.
- Use AI-assisted analysis and workflow tools regularly, explain how AI has influenced your analytical methods, and ideally demonstrate projects built with AI beyond your professional work.
- Think systematically and become increasingly comfortable working through ambiguity.
- Collaborate effectively within a research team and a geographically distributed, matrixed organization.
- Communicate exceptionally well in writing and conversation when presenting data and conclusions to senior or executive stakeholders.
- Exposure to operations or supply-chain topics is helpful, while curiosity and rapid learning are valued more highly.
Benefits
- Competitive salary with a bonus program
- Unlimited paid holiday
- Private healthcare and life insurance
- Enhanced pension contributions
- Enhanced parental leave policy
- Purpose-designed central London offices with complimentary breakfasts and snacks
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