Job Description

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:

45,000 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: https://tinyurl.com/4p2jtbu3

What you'll 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, we've helped shape the development and careers of finance professionals.





We are part of the Kaplan group, one of the world's largest and most diverse education and assessment providers. We operate in over 30 countries and maintain relationships and partnerships with more than 1,000 school districts, colleges and universities, professional bodies and over 10,000 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 www.kaplan.co.uk.

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

kaplanstaff.recruitment@kaplan.com

.

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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