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Analytics Solutions Engineer

United Kingdom, Portsmouth · Job Posted May 29, 2026
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Job Responsibility

  • Design and maintain efficient data models and transformations using SQL and modern data platforms (e.g. Snowflake exposure preferred)
  • Support and implement integrations across key platforms (Power BI, Smartsheet, Snowflake, Salesforce, Microsoft Power Platform), focusing on practical, scalable solutions rather than enterprise architecture ownership
  • Partner with Enterprise IT and delivery teams to ensure alignment with governance and architectural standards (without full architecture ownership)
  • Maintain end-to-end visibility of portfolio execution: demand, capacity signals, backlog health, cycle time, OTD, and key failure modes
  • publish clear, business-focused dashboards and action tracking

Requirements

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent industry experience
  • Strong hands-on experience developing and enhancing analytics and reporting solutions, particularly across Power BI (including DAX), SQL/data modelling, and business workflow tools (e.g. Smartsheet, Excel)
  • Proven ability to translate business requirements into scalable, user-friendly solutions, balancing technical design with practical delivery
  • Demonstrated ability to resolve complex technical problems through collaboration and clear, audience appropriate communication
  • Comfortable leading through influence rather than authority in a matrixed organisation
  • Ability to travel as required for onboarding, collaboration, and business events Including periodic travel to Portsmouth/Amersham and occasional domestic or international travel

Nice to have

  • Practical, hands-on experience with one or more of the following tools/platforms: Salesforce, Snowflake, Smartsheet (including Bridge), Power BI, Qlik, Microsoft Power Platform (e.g. Power Automate), Box (API)
  • Experience working with data and systems in quality-driven or regulated environments (e.g. GxP), including traceability, controls, and audit readiness
  • Applying continuous improvement principles (e.g. Lean / DBS / Kaizen) to optimise systems, data models, and operational workflows

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