IT & Software

Commercial Data Analytics Manager - Reading

AWE plc

Englefield · England · United Kingdom

Commercial Data Analytics Manager - Reading

Location: Englefield, Berkshire, RG7 5

Job Type: Full-Time

Salary: Package: 47,760 to 60,000 (depending on experience). Additional benefits included.

Working Pattern: AWE operates a 9-day working fortnight, with every other Friday off. The role is eligible for hybrid working, typically involving three days on site in a long week and two days in a short week. Flexibility for part-time and varied hours is supported.

Role Overview

At AWE, the Commercial Data Analytics Manager leads the strategic and operational management of commercial data. This role is key to ensuring data accuracy, availability, and actionable insights to drive effective commercial decision-making within the Commercial team, particularly related to third-party spend. The position reports to the Principal Commercial Performance, Insights & Reporting Manager.

Key Accountabilities

  • Ensures Commercial teams have access to timely, accurate, and relevant data to meet performance and strategic goals.
  • Responsible for master data management across all commercial data, maintaining accuracy, consistency, and integrity across systems.
  • Manages the data lifecycle, ensuring seamless data flow between systems.
  • Maintains data protocols, performs data cleansing, and data maintenance to ensure usability for Commercial colleagues.
  • Liaises between Commercial, IT, Finance, and other teams to align data strategies with business needs.
  • Manages the Commercial Data Team.

Desired Experience and Skills

  • Compliance with relevant legislation and regulations.
  • Proven professional experience, particularly in Procurement or Commercial functions.
  • Experience in data operations and/or commercial analytics.
  • Proven ability to manage large datasets, data transformation, and business intelligence tools.
  • Natural analytical thinker.
  • Proficient in SQL, Excel, and visualization platforms such as Power BI or Tableau.
  • Strong communication skills with the ability to translate technical insights into business language.
  • Detail-oriented with a proactive approach to problem-solving and process improvement.

Benefits

  • 9-day working fortnight with every other Friday off, plus 270 hours of annual leave.
  • Market-leading contributory pension scheme (9% to 13% employer contribution).
  • Family-friendly policies: Maternity Leave (39 weeks full pay) and Paternity Leave (4 weeks full pay).
  • Opportunities for professional development, including funding for relevant professional memberships.
  • Employee Assistance Programme and Occupational Health Services.
  • Life Assurance (4x annual salary).
  • Discounts on everyday spending.
  • Paid leave for volunteering, public service, and caring responsibilities.
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Reference: WJ-766_22490982

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