Commercial Data Analytics Manager - Reading

Commercial Data Analytics Manager - Reading

Date Posted: T00:00:00

Location: Whitchurch Hill, Oxfordshire, GB, RG8 7

Application Deadline: T23:02:47.277

Job Details

Position: Commercial Data Analytics Manager - Reading, Berkshire, RG2 6UA

Job Type: Full-Time

Salary: Package: 47,760 to 60,000 (depending on experience) with additional benefits

Location & Working Pattern: Reading, with free onsite parking. AWE operates a 9-day working fortnight, with every other Friday as a non-working day. This role is eligible for hybrid working, typically involving three days on site in a long week and two days in a short week. Flexible working options are supported, including part-time and varied hours.

Introduction

Ready to play your part? At AWE, it's not just a job, it's far more than that. Our shared purpose is to help keep the nation safe. Could this role be the opportunity for you to contribute?

Role Overview

The Commercial Data Analytics Manager leads the strategic and operational management of commercial data across AWE. This role is critical in ensuring the accuracy, availability, and actionable use of data to drive effective commercial decision-making within the Commercial team on all matters relating to third-party spend incurred by AWE. The role reports to the Principal Commercial Performance, Insights & Reporting Manager.

Key Accountabilities

• Ensure Commercial teams have access to timely, accurate, and relevant data to meet performance and strategic objectives.
• Manage master data of all commercial data, ensuring accuracy, consistency, and integrity across systems used by the Commercial function.
• Oversee the data lifecycle, ensuring seamless data flow across systems.
• Manage data protocols, data cleansing, and data maintenance to ensure usable data is available to Commercial colleagues.
• Liaise between Commercial, IT, Finance, and other relevant teams to align data strategy with business needs.
• Manage the Commercial Data Team.

Candidate Profile

While not exhaustive, ideal experience includes:

• Compliance with relevant legislation and regulations.
• Proven professional experience.
• Experience in a Procurement / Commercial function.
• Experience in data operations and/or commercial analytics.
• Proven ability to manage large datasets, data transformation, and business intelligence tools.
• Natural analytical thinker.
• Proficiency in SQL, Excel, and visualization platforms (e.g., Power BI, 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

We ask a lot and set the bar high because our work truly matters. In return, we offer balance and award-winning benefits including:

• 9-day working fortnight—every other Friday off, plus 270 hours of annual leave.
• Market-leading contributory pension scheme (contributing between 9% and 13%).
• Family-friendly policies: Maternity Leave (39 weeks full pay), Paternity Leave (4 weeks full pay).
• Opportunities for professional development with funding for relevant professional memberships.
• Employee Assistance Programme and Occupational Health Services.
• Life Assurance (4x annual salary).
• Discounts on a wide range of everyday spending.
• Special Leave Policy, including paid time off for volunteering, public service, and caring responsibilities.