People Data Analyst

Are you a Data Analyst with an interest in People and Community?
At Oasis Community Learning, we’ve got a great career opportunity that combines People & Data, one that offers the chance for you to play your part in a newly re-modelled team and to be part of something that supports the wider community.
It’s an exciting time at Oasis Community Learning, especially in the People & Culture team. There has been significant investment in expanding the team to ensure we’re equipped to provide the very best service to all of our academies and National colleagues.
We’re looking for an experienced HR Data Analyst who will develop and deliver comprehensive HR MI to support projects and initiatives in the People Services and wider People Team, providing effective data and insights to drive excellence in People Operations and project delivery. You’ll be joining us at a pivotal time as our new HR structure and ways of working are rolled out nationally, providing a real opportunity to make a difference to all colleagues, and by extension students, in our academies.
Oasis Community Learning is a truly unique place to work. We have over 50 academies across England, with a goal of delivering first-class innovative education. As such, the role of People & Culture is to ensure all academy staff can wholly concentrate on making a difference to our students’ lives. Pair this with a vibrant central office and great colleagues, and you have a fantastic opportunity on your hands!
You’ll be responsible for
Partner with People Services and wider People Team stakeholders to understand their MI needs and provide timely, accurate, and clear analytics, including regular and ad-hoc reporting, interactive dashboards, advanced data modelling, scenario planning, and research projects.
Analyse data to identify trends or key issues, providing actionable insights to stakeholders.
Drive process improvements and promote innovation within the People Team.
Resolve data and MI technical issues and maintain advanced MI knowledge.
Manage MI system and dataset access, ensuring compliance and data integrity.
You’ll bring
Significant experience in integrating and analysing HR data from multiple sources (including HR Information Systems) to create relevant reporting and dashboards in a complex organisation.
Advanced Excel skills, Power BI and an experienced user of MS Office. Experience with Midland HR/iTrent HRIS is strongly advantageous.
Demonstrable experience in analysing, modelling, and interpreting employee data and management information to produce clear, concise reports, insights, and recommendations, as well as automating MI processes.
Excellent communication skills, with the ability to build excellent relationships with stakeholders and translate complex data into clear business language.
Excellent organisational skills with the ability to work to deadlines and prioritise effectively.
Attendance at our Waterloo office is mandatory 3 days per week.
Our offer to you
Generous local government pension scheme
Exclusive Oasis benefits scheme with lifestyle discounts
Warm and welcoming head office team, based in Waterloo with regular social activities
The opportunity to develop the people data offering, providing exceptional support to stakeholders across the trust
Application process
We are working exclusively with our colleagues at Highfield Partners and ask that ALL applications and communications are directed to their team. They are part of the wider OCL Talent Acquisition team and are trusted partners.
To apply, please contact Tom Godber on tom.godber @highfieldpartners.com.
Tom and the team will work with all applicants to discuss the opportunity and progress your application.
Any applications submitted directly to OCL will be disregarded.
Closing date: 18 June
Interviews: w/c 2 July
Safeguarding Statement
Oasis Community Learning is committed to safeguarding and promoting the welfare of children, young people and vulnerable adults and expects all staff and volunteers to share this commitment. We particularly welcome applications from under represented groups including ethnicity, gender, transgender, age, disability, sexual orientation or religion.

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