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Data Analytics Lead Quantitative Data Modeling Focus - 12 Month Contract

Pure Storage
London, United Kingdom
Full Time
Posted January 20, 2026
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Job Description

The role involves leading data analytics and modeling efforts to develop a unified, scalable data framework that integrates various data sources, enabling data-driven insights, customer opportunity sizing, and strategic decision-making within a technology-focused organization.

Key Responsibilities

  • Design and operationalize a unified data framework integrating financial, operational, and technical data from multiple systems.
  • Develop and maintain a master data model, including relationships, dependencies, and data governance rules.
  • Source, align, and validate data from various systems and platforms.
  • Build relational data sets and insight models to analyze performance drivers and trends.
  • Apply predictive and prescriptive analytics to estimate key values, identify opportunities, and guide decision-making.
  • Map customer data to the master data model to assess confidence, identify gaps, and inform account planning and opportunity sizing.
  • Embed the data model into core workflows with interfaces for real-time data refresh and analysis.

Requirements

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Economics, or a related quantitative field.
  • At least 1 year of experience in data analytics, data modeling, or quantitative analysis, ideally in a B2B or enterprise technology environment.
  • Proficiency in SQL, Python, R, and BI tools such as Tableau, Power BI, or similar.
  • Experience designing data models and pipelines across multi-source systems, including CRM, Marketing Operations, Financial Systems, and other data sources.
  • Strong understanding of data governance, normalization, and confidence scoring techniques.
  • Demonstrated ability to synthesize large, complex datasets into actionable insights.
  • Excellent collaboration skills with cross-functional teams including Sales, Finance, and Operations.

Benefits & Perks

Flexible time off
Wellness resources
Company-sponsored team events
In-office work environment

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