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Data Analyst (US)

World of Books

Salary not specified
Sep 19, 2025
Montgomery, IL, US
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World of Books (WoB) is looking to advance its analytical capabilities and data maturity to support its next stage of growth, specifically within the US in-trade, supply, and operations.

Requirements

  • SQL – strong experience required; can debug code and explore and query raw data; in Google Cloud environment.
  • BI & visualisation – knowledge of Tableau/Power BI/Looker; can spin up dashboards that non-analysts actually use.
  • Python – some experience in this, or R; leveraging Vertex AI.
  • Deep-dive root cause analysis – understand the whys and root cause of a problem.
  • User funnel analysis – understanding drop-offs and investigating.
  • Experiment design – A/B, multivariate and incrementality tests including sampling methodologies.
  • Customer intelligence – segmentation, LTV forecasting and cohort survival analysis.

Responsibilities

  • Owning reporting and analytics for key business areas of focus where they will drive and execute multiple initiatives independently, this would include:
  • Analysis that drives strategic decisions and sizes the opportunity
  • Quantifying and challenging hypotheses and assumptions
  • Reporting and defining metrics
  • Understanding drivers of business performance
  • Leading initiatives end-to-end which involves building and validating datasets, developing reporting, analysing complex datasets, and presenting results and actionable recommendations, and measurement of resulting actions.
  • Improving efficiency by automating analysis to ensure focus is on new value-add analysis.

Other

  • Degree in statistics, mathematics, computer science or related field from a leading university.
  • 3+ years in analytics, and ideally from Ecom/Marketplace background.
  • Effectively collaborating and managing stakeholders by understanding their needs and managing their expectations, to challenging business partners to encourage healthy debate and the best outcome for the business.
  • Cross-functionally collaborating closely with key business partners, Product, Tech, and others.
  • Communicating insights effectively, translating complex analyses into clear, actionable recommendations with a strong focus on commercial impact.