Commercial Data Analytics Manager - Reading

AWE plc; Shepherd's Green; Hybrid; GBP 48,000 - 60,000; Full time

Benefits offered by this job

9-day fortnight & flexible hours

Pension scheme (contributory)

Family-friendly policies

Professional development funding

Employee Assistance Programme

Life Assurance (4x salary)

Discounts on everyday spending

Volunteer leave

Job summary

AWE plc in Reading, UK, is seeking a Commercial Data Analytics Manager to lead the strategic and operational management of commercial data, enabling accurate, available data for decisive third-party spend decisions.

You will drive data quality, lifecycle governance, and cross‑functional collaboration using SQL, Excel and BI platforms such as Power BI or Tableau to deliver actionable insights.

Qualifications

• Compliance with relevant legislation and regulations.
• Experience in data operations or commercial analytics.
• Ability to manage large datasets and perform data transformation.
• Excellent communication to translate insights into business language.
• Detail-oriented with proactive problem solving.

Responsibilities

• Provide timely, accurate data to meet performance and strategic objectives.
• Own master data management across systems used by the Commercial function.
• Manage the data lifecycle and ensure seamless data flow between platforms.
• Maintain data protocols, cleansing and data maintenance for usability.
• Coordinate with Commercial, IT and Finance to align data strategy with requirements.
• Lead the Commercial Data Team.

Skills

SQL

Excel

Power BI

Tableau

Data visualization

Data transformation

Data operations

Analytical thinking

Communication skills

Problem solving

Tools

SQL Server

Power BI Desktop

Tableau Server

ETL tools

Job description

Commercial Data Analytics Manager - Reading

Date Posted: 2026-09-26

Location: Shepherd's Green, Oxfordshire, GB, RG9 4

Application Deadline: 2026-12-25T23:02:47.277

Job Details

Job Title: Commercial Data Analytics Manager

Location: Reading, Berkshire, RG2 6UA

Job Type: Full-Time

Salary: Package: 47,760 to 60k (depending on experience) + additional benefits

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, typically involving three days on site in a long week and two days on site in a short week. Flexible working options are supported, including part-time and varied hours. Please inform us of any preferred alternative arrangements when you apply.

Overview: 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? 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. The role reports 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.
• Manage the data lifecycle, ensuring seamless data flow across systems.
• Maintain data protocols, data cleansing, and data maintenance to ensure usable data for Commercial colleagues.
• Liaise between Commercial, IT, Finance, and other relevant teams to align data strategy with business requirements.
• Manage the Commercial Data Team.

Candidate Experience and Skills

• Compliance with relevant legislation and regulations.
• Proven professional experience, ideally within a Procurement or Commercial function.
• Experience in data operations and/or commercial analytics.
• Proven ability to manage large datasets, perform data transformation, and use business intelligence tools.
• 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.

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; 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 a wide range of everyday spending.
• Paid leave for volunteering, public service, and caring responsibilities.