Commercial Data Analytics Manager - Reading

Commercial Data Analytics Manager - Reading

Location: Goring Heath, Oxfordshire, GB, RG8 7

Job Type: Full-Time

Salary: Additional benefits

Package: 47,760 to 60k (depending on experience)

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.

Job Summary: 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. 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.

Required Experience (not exhaustive):

• 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.
• Natural analytical thinker.
• Proficient in SQL, Excel and visualisation platforms (e.g., Power BI, Tableau).
• Strong communication skills with 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, 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 - access to savings on a wide range of everyday spending.
• Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring.

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Commercial Data Analytics Manager - Reading, Berkshire,RG2 6UA Job Type:Full-TimeSalary: Additional benefits Commercial Data Analytics Manager 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. 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. 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. Whilst not to be considered a tick list, we'd like you to have experience in some of the following: Compliance withrelevantlegislation and regulations. Must haveproven 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 visualisation platforms (e.g. Power BI, Tableau). Strong communication skills with ability to translate technical insights into business language. Detail oriented with a proactive approach to problem-solving and process improvement. Work hard, be rewarded: 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 - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. #LI-ZB1