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1 Vacancy
Learning Analyst
Reference number: JR249109
Location: Hybrid working - home and our office at Universal Square Manchester
Working pattern: Full Time 37.5 hours per week
Contract Type: Permanent
Number of roles: 1
Grade: K5
Salary: 45000 per annum
We are looking for a Learning Analyst to join our team.
Role summary
As a Learning Analyst within the Insight team you will be instrumental in harnessing data to derive actionable insights that improve our learning products and learner outcomes. Your role will involve providing proactive and timely analysis and insights into learning quality outcomes and challenges enabling data-driven decisions that benefit and support our learners. You will play a key part in evaluating the effectiveness of our learning resources and instructional methods and assist in the development of predictive models to enhance personalised learning paths and learner retention strategies.
A detailed job description can be viewed here. If the link does not work for you please copy and paste the following URL into your web browser: youll bring to the role
This role would suit someone comfortable working independently with a proactive and innovative mindset and a passion for enhancing educational experiences and outcomes through data.
Strong analytical and problem-solving skills with a keen eye for detail and accuracy
Expert proficiency in data analysis tools and statistical software with essential experience in Power BI
Proven experience with data querying manipulation & analysis using SQL Python or R
Experience with cloud data platforms specifically Microsoft Fabric or similar (e.g. Azure Data Lake Azure Synapse)
Ability to interpret complex data and present finding in a meaningful clear and concise way to non-technical audiences
Excellent written and verbal communication skills with the ability to collaborate effectively across diverse teams
A proactive and innovative mindset with a passion for enhancing education experiences and outcomes
Capability to manage multiple projects simultaneously and meet tight deadlines
A strong ethical framework for handling sensitive and confidential learner data with working knowledge of GDPR and learning data ethics
A relevant degree in data science statistics or a related analytic field; a background in educational technology is a plus
Experience in an educational environment and/or understanding of learning science (desirable)
What we do
Kaplan Professional is a leading provider of apprenticeships accountancy / tax / finance & banking courses and professional assessments. For almost 80 years weve helped shape the development and careers of finance professionals.
We are part of the Kaplan group one of the worlds largest and most diverse education and assessment providers. We operate in over 30 countries and maintain relationships and partnerships with more than 1000 school districts colleges and universities professional bodies and over 10000 businesses. Our vast breadth and scope in terms of both capabilities and assets sets us apart.
What we believe in
Our goal is for Kaplan to be a great place to work where everybody can succeed so we truly live and breathe our values: act with integrity grow knowledge empower & support create opportunity drive results together.
Kaplan is a global organisation whose mission is rooted in providing equal access to education and opportunities for advancement to people of all backgrounds. We believe diversity equity and inclusion - of culture experiences perspectives - are paramount to creating success and opportunity in an ever-changing world. As an educator partner and employer Kaplan is committed to promoting an equitable world in which diverse talent can develop advance and thrive.
To view our candidate privacy notice click here.
Our Values
We live breathe and celebrate our values - they drive what we believe in how we behave and guide us in creating a culture of success.
Act with integrity
Empower and support
Create opportunity
Grow knowledge
Drive results together
What we offer
As well as a competitive salary transparent pay structures hybrid/home working where possible and paths for career progression we offer a comprehensive benefits package that includes:
28 days annual leave option to purchase more
Season ticket loan and cycle to work scheme
Big discounts on Kaplan courses for you and your family
Private medical income protection and life insurance
24/7 confidential helpline providing counselling and other support services
Company pension contributions
Maternity Adoption Shared Parental and Paternity/Partner pay which is well above statutory levels
How to apply
To apply for this role please submit a CV along with a Cover Letter detailing how you meet the requirements of the role no later than 11pm on Wednesday 20th August 2025. Note we recommend that you apply at the earliest as we reserve the right to close the role before the closing date if we have gathered a suitable shortlist.
Additional Application Information
Recruitment checks are undertaken in accordance with our background checking policy. Successful applicants will be required to undertake a Basic Disclosure via the Disclosure and Barring Service (DBS).
Our Suitability of Ex-offenders Policy is available on the careers page of our website .
Application Support
If you require support completing your application or wish to talk to someone about the role before applying please email the Recruitment Team .
Disability Confident Scheme
As a Disability Confident employer we are committed to interviewing applicants with disabilities who meet the minimum criteria for the role as per the job description and any screening or testing stages. Details of how to request your application be considered under the Disability Confident scheme will be shared with all applicants upon submission of an application.
Furthermore all applicants invited to attend interview will be given information on how to request reasonable adjustments to attend.
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Required Experience:
IC
Full-Time