Data Analyst supporting supply chain risk management for federal agencies. Focusing on data analysis and mitigation strategies in a collaborative team environment.
About the role
- Learning Data Analyst at Multiverse evaluating learning programs to enhance skills for AI and Tech adaptation while partnering with stakeholders for data-driven decisions.
Responsibilities
- 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
- 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.
Requirements
- 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.
Benefits
- **Time off** - 27 days holiday, 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!
Job title
Job type
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Degree requirement
Tech skills
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