Commercial Data Analytics Manager - Reading

AWE plc; Sonning; Hybrid; GBP 48,000 - 60,000; Full time

Benefits offered by this job

9-day working fortnight

270 hours annual leave

Pension scheme 9–13%

Maternity/Paternity leave

Professional development funding

Employee Assistance Programme

Life Assurance 4x salary

Discounts on spending

Special Leave Policy

Job summary

AWE plc in Reading seeks a Commercial Data Analytics Manager to lead the strategic and operational management of commercial data across the organisation, ensuring accuracy, availability and actionable insights to drive commercial decisions on third‑party spend.

This role offers hybrid working (three days on site in a long week and two in a short week), a 9‑day working fortnight, and a comprehensive benefits package including a strong pension, generous leave, and opportunities for professional

Qualifications

• Experience in data operations and/or commercial analytics.
• Proven experience in managing large datasets and data transformation.
• Proficient in SQL, Excel, and BI tools.
• Strong communication to translate insights to business terms.
• Detail-oriented with proactive process improvement.

Responsibilities

• Ensure timely, accurate data for performance and strategy.
• Oversee master data management across commercial systems.
• Manage data lifecycle and data flow between systems.
• Maintain data quality and cleansing for usable insights.
• Liaise between Commercial, IT and Finance to align data strategy.
• Lead the Commercial Data Team.

Skills

Analytical thinking

Data analysis

Communication skills

Problem solving

Attention to detail

Tools

SQL

Excel

Power BI

Tableau

Job description

Commercial Data Analytics Manager - Reading

Date: 2026-09-26T00:00:00

Location: Sonning, Berkshire, GB, RG4 6

Closing Date: 2026-12-25T23:02:47.437

Job Details

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

• Job Type: Full-Time
• Salary & Benefits: Additional benefits
• Package: 47,760 to 60k (depending on experience)
• Location: Reading, with free onsite parking

Working Pattern

AWE operates a 9-day working fortnight, with every other Friday as a non-working day. This role is eligible for hybrid working, meaning employees typically spend three days on site in a long week and two days on site in a short week. We support flexible working where possible, including part-time and varied working hours, so please let us know if you would like us to consider an alternative working arrangement when you apply.

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 play your part?

Role Overview

The Commercial Data Analytics Manager leads the strategic and operational management of commercial data across AWE. This role is critical in ensuring 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. This role will report into 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 objectives.
• Accountable for master data management of all commercial data, ensuring accuracy, consistency, and integrity across systems used by the Commercial function.
• Accountable for managing the data lifecycle, ensuring seamless data flow across systems.
• Accountable for data protocols, data cleansing, and data maintenance to ensure usable data is made available to Commercial colleagues.
• Accountable for liaison between Commercial, IT, Finance, and other relevant teams in AWE to align data strategy with business requirements.
• Accountable for the management of the Commercial Data Team.

Desired Experience

• Compliance with relevant legislation and regulations.
• Proven professional experience.
• Experience of working in a Procurement / Commercial function.
• Experience in data operations and/or commercial analytics.
• Proven experience in managing large datasets, data transformation, and business intelligence tools.
• A natural analytical thinker.
• Proficient 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.

Rewards and Benefits

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

• 9-day working fortnight, meaning you get every other Friday off work, in addition to 270 hours of annual leave.
• Market-leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions).
• Family-friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay.
• Opportunities for Professional Career Development including funding for annual membership of a relevant professional body.
• Employee Assistance Programme and Occupational Health Services.
• Life Assurance (4 x annual salary).
• Discounts on a wide range of everyday spending.
• Special Leave Policy including paid time off for volunteering, public service (including reserve forces), and caring.