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People analyst

Reading (Berkshire)
AWE Plc
Analyst
Posted: 16 October
Offer description

AWE is currently recruiting for a People Analyst to assess and maintain the quality of HR data within our HRIS and support the business with people data requirements.

The following information aims to provide potential candidates with a better understanding of the requirements for this role.
Location:

RG7 4PR, located between Reading and Basingstoke, with

free onsite parking. Plans to relocate role to Green Park (Reading), from December 2025.
Package:

From £37,300 - £48,500 (depending on your suitability, qualifications, and level of experience)
Working pattern:

AWE operates a 9-day working fortnight. We will consider

flexible working requests

so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application.
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?
As the People Analyst, you will leverage data to provide insights into workforce trends and organisational effectiveness through analysing, and interpreting people-related data to support strategic decision-making and improve business outcomes. As part of your role, you will be responsible for:
Support identification of organisational health challenges, and develop solutions through modelling, scenario testing and benchmarking.

Provide high-quality data analysis, reports, and insights to support functional and leadership decision-making.

Support implementation and maintenance of an IT system that meets business needs and aligns with the Digital Roadmap.

Uphold high standards in environment, safety, health, security, and quality, and contribute positively to the team.

Who are we looking for?
We are ideally seeking a highly inquisitive individual with previous experience analysing and reporting on data to deliver insights, using BI tools to spot trends and present findings visually.
We do need you to have the following:
A Bachelor's or Master's degree in Statistics, Economics, Mathematics, Psychology, Business, Computer Science, Finance, Engineering, or Human Resources.

Whilst not to be considered a tick list, we'd like you to have experience in some of the following:
Ability to translate complex data sets into actionable insights.

Proficiency in data visualization tools (e.g., Power BI, Tableau) and statistical software (e.g., Python, R, SQL).

Communication and stakeholder management skills.

Strong analytical and statistical skills.

Familiarity with HRIS systems and data governance principles.

Knowledge of Saba, Workday, Oracle or equivalent HRIS technologies.

You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines.
Some reasons we think you'll love it here:
AWE has wide range of benefits to suit you. These include:
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.

The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Hybrid working is available for this role on an informal, non-contractual basis. Typically 3 days onsite per week.
#LI-SW
#LI-Hybrid

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