Apprenticeships Manager

Apprenticeships Manager

London Apprenticeship 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead analytics and insights for our Operations division, driving data-driven decisions.
  • Company: Join Multiverse, an EdTech start-up revolutionising AI and tech skills training.
  • Benefits: Enjoy 27 days holiday, private medical insurance, hybrid work, and fun team events.
  • Why this job: Make a real impact in a fast-paced environment while developing your leadership skills.
  • Qualifications: 6+ years in analytics, strong SQL skills, and experience leading teams required.
  • Other info: Diversity and inclusion are at our core; we welcome applicants from all backgrounds.

The predicted salary is between 36000 - 60000 £ per year.

Senior Manager – Analytics & Insights (12 month FTC) Join to apply for the Senior Manager – Analytics & Insights (12 month FTC) role at Multiverse Senior Manager – Analytics & Insights (12 month FTC) Join to apply for the Senior Manager – Analytics & Insights (12 month FTC) role at Multiverse Multiverse is the upskilling platform for AI and Tech adoption. Multiverse apprenticeships are designed for people of any age and career stage and focus on building critical AI, data, and tech skills. Multiverse learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. We’re building a world where tech skills unlock people’s potential and output. Join our dynamic EdTech start-up as the Senior Manager, Analytics and Insights within the Operations division. Reporting to the Director of Performance Ops, you will build and lead the analytics and insights function in the ops org, setting the strategy and direction to ensure data is at the heart of how the Operations division drives efficiency and success. This is a critical, hands-on leadership role focused on leveraging advanced data analytics, understanding stakeholder needs deeply, and ensuring the Operations division is run based on clear, relevant, and timely insights. You will partner closely with senior leadership, Data Product Managers (from our central Data & Insight team), and cross-functional teams to ensure our data yields powerful, actionable insights in our fast-paced start-up/scale-up environment. Develop, own, and execute the strategy for how Operations leverages data, analytics & insights to maximise business impact aligned with our business objectives and operational priorities – informing and building upon the Data & Insight team’s central data products roadmap. Team Leadership & Management: Lead, mentor, and develop a team of analysts, fostering a culture of analytical rigor, technical excellence, curiosity, and continuous improvement. Manage team workload, set priorities, and ensure high-quality, impactful output. Diagnose and translate the needs of key Operations stakeholders into tangible operational deliverables, tools, and insights and/or consolidated requirements for central data products. Gather detailed specifications and define success criteria for analytical projects. Advanced Data Analysis & Insights Generation: Oversee and contribute to the development of robust dashboards and reporting frameworks (using SQL, Tableau, etc.). Drive the generation of deep, actionable insights from complex, sometimes ambiguous, data sets to inform strategy and operations. Define, create, track, and clearly communicate key performance indicators (KPIs) for the Operations division, which align with our broader organisational metrics. Data Architecture & Collaboration: Understand data architecture principles. Work closely with Data Product Managers and engineering teams to articulate requirements for structuring data in more usable, accessible, and scalable ways, advocating for data quality and improvements. Experimentation & A/B Testing: Apply and guide the team on A/B testing principles and other experimentation methodologies to measure the impact of operational changes and initiatives. Data Enablement & Adoption: Develop approaches and potentially documentation/training materials to help operational stakeholders effectively use and interpret data tools and insights, fostering high adoption and impact. Translate complex analytical findings and technical concepts into clear, concise recommendations tailored appropriately for key stakeholders, including effectively bridging communication between technical partners like Data Product Managers and non-technical Operations Leaders. Partner on strategic planning, providing robust data-driven insights. Experience: 6+ years of professional experience in analytics, or business intelligence, with a proven track record of operating successfully in an analytics role within a fast-paced start-up or scale-up environment is required. Demonstrated experience in leading and managing analytical teams or significant analytical projects, driving strategy and execution. Advanced SQL for complex querying and data manipulation; high proficiency in Excel/Google Sheets; experience with BI/visualization tools (e.g., Tableau, Looker, Power BI). Experience with Python (for data analysis libraries like Pandas, NumPy) and/or Google Apps Script for automation and integration. Analytical Rigor: Strong quantitative and analytical skills, with expertise in A/B testing, statistical analysis, and experiment design. Data & Business Acumen: Deep understanding of data architecture concepts and best practices. Proven experience working with both ambiguous/imperfect data sets and seeing/striving for best-in-class data structures and practices. Experience translating business needs (from Operations) into data requirements. Communication & Stakeholder Management: Crucially, you must possess the proven ability to effectively communicate complex analytical concepts and requirements in the appropriate language for diverse audiences, including both technical stakeholders (like Data Product Managers) and non-technical business stakeholders (like Operations Leaders). Strategic Thinking: Ability to think strategically, connect data insights to business impact, and contribute to higher-level strategy discussions. Time off – 27 days holiday, plus 7 additional days off: 1 life event day, 2 volunteer days and 4 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 – and the opportunity to take part in our work-from-anywhere scheme Team fun – weekly socials, company wide events and office snacks! Our commitment to Diversity, Equity and Inclusion Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. Read our Equality, Diversity & Inclusion policy here. Unfortunately, at this time we cannot offer sponsorship for this role and we cannot consider overseas applications. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service (DBS) for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently. Employment type Full-time Get notified about new Senior Manager Analytics jobs in London, England, United Kingdom . Business Manager – Vice President – Chief Analytics Office

Apprenticeships Manager employer: Multiverse

Multiverse is an exceptional employer, offering a vibrant work culture that prioritises employee growth and development within the fast-paced EdTech sector. With a strong commitment to diversity, equity, and inclusion, employees benefit from generous time off, comprehensive health and wellness programmes, and a hybrid work model that promotes work-life balance. Join us in London to make a meaningful impact while enjoying a supportive environment filled with team camaraderie and opportunities for professional advancement.
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Contact Detail:

Multiverse Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Apprenticeships Manager

✨Tip Number 1

Familiarise yourself with the latest trends in data analytics and insights, especially within the EdTech sector. Understanding how companies like Multiverse leverage data to drive business impact will help you speak their language during interviews.

✨Tip Number 2

Network with professionals in the analytics field, particularly those who have experience in start-ups or scale-ups. Engaging with them can provide valuable insights into the role and may even lead to referrals.

✨Tip Number 3

Prepare to discuss specific examples of how you've led analytical projects or teams in the past. Highlight your ability to translate complex data into actionable insights, as this is crucial for the Senior Manager role.

✨Tip Number 4

Brush up on your SQL and data visualisation skills, as these are essential for the role. Being able to demonstrate your technical proficiency during discussions will set you apart from other candidates.

We think you need these skills to ace Apprenticeships Manager

Advanced Data Analysis
SQL Proficiency
Data Visualisation Tools (e.g., Tableau, Looker, Power BI)
Python for Data Analysis
Statistical Analysis
A/B Testing Methodologies
Team Leadership and Management
Stakeholder Communication
Data Architecture Understanding
Strategic Thinking
Analytical Rigor
Business Acumen
Project Management
Training and Documentation Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in analytics and insights, particularly in a fast-paced start-up environment. Emphasise your leadership skills and any specific tools or methodologies you've used, such as SQL, Tableau, or A/B testing.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how it aligns with Multiverse's mission. Mention specific achievements that demonstrate your ability to lead teams and generate actionable insights from complex data sets.

Showcase Your Analytical Skills: Provide examples of past projects where you successfully translated stakeholder needs into analytical deliverables. Highlight your experience with data architecture and your ability to communicate complex concepts to both technical and non-technical audiences.

Highlight Your Strategic Thinking: Demonstrate your strategic thinking abilities by discussing how you've connected data insights to business impact in previous roles. This will show that you can contribute to higher-level strategy discussions at Multiverse.

How to prepare for a job interview at Multiverse

✨Showcase Your Analytical Skills

Be prepared to discuss your experience with data analysis and how you've used it to drive business decisions. Highlight specific projects where your insights led to measurable outcomes, especially in a fast-paced environment.

✨Understand the Company’s Mission

Familiarise yourself with Multiverse's goals and values, particularly their focus on upskilling in AI and tech. Be ready to explain how your background aligns with their mission and how you can contribute to their objectives.

✨Prepare for Technical Questions

Expect questions related to SQL, data visualisation tools like Tableau, and A/B testing methodologies. Brush up on these skills and be ready to demonstrate your technical proficiency through examples or even practical tests.

✨Communicate Clearly with Stakeholders

Practice explaining complex analytical concepts in simple terms. You may need to demonstrate your ability to bridge communication between technical and non-technical stakeholders, so think of examples where you've successfully done this in the past.

Apprenticeships Manager
Multiverse
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