The Learning Data Analyst plays a critical role in evaluating and enhancing the health of our learning programs by balancing business key performance indicators (KPIs) such as retention and revenue goals with educational outcomes, including assessment reliability, validity, content quality and learner persona alignment. This role is essential for producing actionable reports and insights that drive improvements, both those that are owned by our learning portfolio and programme design owners, and those that will be driven by our AI tooling as this evolves. This role balances both reactive and proactive analysis, building and maintaining dashboards and/or other visual analysis to provide strategic insights that continuously improve the AI\'s output.
Data Preparation
- Partner with key stakeholders across Learning to identify the key questions we need to answer on a regular basis and identify the right data to support ongoing analysis and action against our suite of learning programmes.
- Partner with key stakeholders across the business to support with bespoke reporting preparation including data preparation for regulator inspections (eg. Ofsted) or client custom requests.
- Partner with our central Data and Insights team to utilise our self-serve data capabilities to create analysis and visualisations that drive a data-driven culture across learning.
- Use approved AI and other tooling to create bespoke data views in Count and Metabase, to run SQL queries and search for the most useful data points to analyse in our data warehouse.
Program Health Analysis
- Conduct regular analysis on the health of our programmes (including their variations) to determine current state against key metrics (e.g. retention, attainment, satisfaction, achievement in End Point Assessments etc.).
- Conduct reliability and validity analysis to ensure accuracy and consistency of assessment design, and work with the owner of assessment design to make actionable decisions on improvements.
- Conduct grading reliability analysis of assessments (AI and human led) to ensure consistency and unbiased performance across subgroups in relation to any regulatory/governance systems improve technology enabled systems such as AI grading.
- Proactively use data to identify trends, anomalies, and to support programme owners to make actionable decisions to improve existing programme metrics and create business cases for new programmes.
- Create compelling data visualisations to feed insights into key leadership, governance and decision making forums and enable leaders to make informed decisions, particularly around apprenticeship regulatory thresholds.
- Collaborate with the AI Learning Solutions Team to feed structured data sets and insights into AI agents, enhancing their capability to make informed content and customisation decisions.
Qualifications & Skills
- Data analysis and visualisation skills in tools such as Excel, PowerBI/Tableau, SQL, Python and Looker.
- Experience in curriculum and assessment design and evaluation processes.
- Experience with analysis of learner and customer experience metrics in a B2B sales environment.
- Highly driven by attention to detail.
- Motivation and interest in where data can improve the efficacy of AI use in learning design and assessment.
- Comfortable with the unknown - we work in a fast paced environment and often are faced with novel challenges that no one\'s solved before. Need to be comfortable navigating ambiguity and charting the path forward.
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that\'s transforming today\'s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they\'ve learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK\'s first EdTech unicorn. But we aren\'t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We\'re building a world where tech skills unlock people\'s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era.
Benefits
- Time off - 27 days, plus 5 additional days off: 1 life event day, 2 volunteer days and 2 company-wide wellbeing days and 8 bank holidays per year.
- Health & Wellness - private medical insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Gympass and access to Spill - all in one mental health support.
- Hybrid work offering - we collaborate in the office 3 days per week.
- Work-from-anywhere scheme - you\'ll have the opportunity to work from anywhere, up to 10 days per year.
- Team fun - weekly socials, company wide events and office snacks!
StudySmarter Expert Advice🤫
We think this is how you could land Learning Data Analyst in Camden Town
✨Dive into Digital Learning Communities
Join online forums and communities focused on digital education, like EdTech Meetups or LinkedIn groups. Engage actively—share ideas and insights, and you'll not only learn a ton but also connect with potential employers and thought leaders in the industry.
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Create content that demonstrates your understanding of digital learning—think blogs, videos, or even free online workshops. This could catch the eye of companies like MultiVerse Careers looking for innovative thinkers. Plus, it’s a great way to practice your presentation skills!
✨Utilise University Career Services
If you're still in education or have access to an alumni network, make the most of your university's career services. They often have exclusive job listings and workshops tailored to students wanting to break into full-time roles in education technology.
✨Apply Directly Via Company Websites
When you come across roles like Learning Data Analyst at MultiVerse Careers, make sure to apply directly through their website. It not only shows you're serious but sometimes you'll find positions listed there that may not be on job boards yet. Keep an eye on those!
Some tips for your application 🫡
Show Off Your Passion for Learning:When applying for a role in digital learning and education at MultiVerse Careers, make sure to sprinkle your application with examples of your enthusiasm for teaching and learning technologies. Share specific experiences where you've used, designed, or implemented digital learning solutions, as this shows us that you truly get the field.
Highlight Relevant Education and Certification:In the digital learning space, having a strong educational background can set you apart. Don't shy away from showcasing your degrees, certifications, or relevant courses related to e-learning, instructional design, or educational technology. We love seeing candidates who have actively invested in their learning journey!
Tailor Your CV to the Role:Your CV is your first impression, so let's make it count! Focus on your skills directly related to digital learning, such as course development, learning management systems, and data analysis. Be sure to show measurable results from your past roles to demonstrate your impact and effectiveness.
Craft a Compelling Cover Letter:In your cover letter, express not just your qualifications, but your vision for the future of digital education. Discuss how your experiences align with the mission of MultiVerse Careers and highlight any innovative ideas you might have for enhancing learning experiences. This is your chance to connect with us on a deeper level!
How to prepare for a job interview at MultiVerse Careers
✨Get Hands-On with Learning Technologies
Familiarise yourself with common digital learning tools and platforms, like LMS systems or authoring tools that MultiVerse Careers might use. Understanding these will give you an edge and show you’re ready to jump in from day one!
✨Showcase Your Creativity in Lesson Design
Prepare a portfolio of your past projects if you have them, or create sample lesson plans or digital content demos. Being able to discuss your creative approach to engaging students can really set you apart in a full-time role at MultiVerse Careers.
✨Brush Up on Educational Trends
Stay in the loop with the latest trends in digital education, like gamification or personalised learning experiences. This will help you engage in meaningful discussions during the interview and demonstrate your passion for the field.
✨Prepare for Collaborative Scenarios
Expect to be asked about your experience working collaboratively with educators or other stakeholders. Consider discussing how you've contributed to a team effort in creating engaging educational content or improving student outcomes.