Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse customer data to generate insights for strategic decisions.
- Company: Join Multiverse, a leader in equitable economic opportunity and innovative apprenticeships.
- Benefits: Enjoy a collaborative culture, impactful work, and opportunities for professional growth.
- Why this job: Be part of a mission-driven team transforming workforce skills and access to opportunities.
- Qualifications: 3+ years in data analysis, strong Tableau and PostgreSQL skills required.
- Other info: Ideal for those passionate about data and making a difference in the tech industry.
The predicted salary is between 36000 - 60000 £ per year.
We’re on a mission to provide equitable access to economic opportunity, for everyone. We close critical skill gaps in the workforce through a new kind of apprenticeship that combines work and learning. We begin by recognizing high-potential individuals both inside and outside of a company’s current workforce and then we create applied, guided and equitable learning programs, with measurable impact. Because we believe the world needs a better way to match its potential. We work with over 1,500 leading companies including the likes of Microsoft, Citi and Just Eat to help solve their business-critical problems, and we’ve trained over 16,000 professional apprentices in the tech and data skills of the future. This is made possible by our global team who are driven to achieve a mission that matters, together. Join Multiverse and help us set a new course for work.
Requirements
As an Insight Analyst, you will be responsible for analysing and generating insights from customer-related data - derived from our tech products, as well as our go-to-market activities - in order to inform key strategic & operational decisions via actionable recommendations. This role will be within the Data & Insight team, reporting to the Director of Data Science, and will involve working closely with stakeholders across our customer-product and go-to-market teams. You will need to be analytical, pragmatic, collaborative and tenacious. You will also need to understand how data & insights can be shared most effectively with different types of internal and external audiences. Most importantly, you will need to remain laser-focused on the ‘so what’ of our customer data.
What you’ll focus on:
- Quantitative Analysis • Designing, implementing, interpreting & sharing analyses using customer-product & go-to-market data - e.g. assessing pipeline health drivers and/or identifying trends in customer behaviours • Becoming a subject matter expert in customer data (both in terms of product and go-to-market metrics) and developing a deep understanding of the key indicators of customer engagement, satisfaction and long-term retention/expansion • Defining, preparing and running live experiments that will test customer-product & go-to-market hypotheses and inform rapid product/process iteration
- Report Generation • Developing, populating & curating periodic and ad-hoc reporting assets to be consumed by our customer-product and go-to-market teams - e.g. quarterly reviews, annual impact reports, topic-specific deep-dives • Tailoring different reporting assets for different audiences - e.g. senior management vs operational teams vs external bodies
- Stakeholder Engagement • Providing product & go-to-market teams with high-quality first-line analytical support • Promoting and enabling a strong data culture across the customer-product & go-to-market teams, proactively identifying opportunities to improve visibility, accessibility and understanding of data at all levels and providing training and guidance as needed • Supporting key stakeholders within the customer-product & go-to-market teams with their own analyses & usage of Multiverse’s self-service analytics tools - helping drive the iteration and improvement of these tools as necessary
What you bring
Required: • 3+ years’ experience in a data analyst role - ideally within a fast-growing tech scale-up, management consultancy or other customer-focused team • Proven track record of producing high quality analyses & deliverables • Strong experience using Tableau and PostgreSQL for delivering analyses • Demonstrable ability to communicate actionable insights that influence key stakeholders • Appetite for working within a dynamic & collaborative team environment • Meticulous attention to detail • Commitment to Multiverse’s mission and values • Right to work in the UK
Non-Required (But Desirable): • Working knowledge of and experience with Python for data analysis • Understanding of advanced data science concepts - e.g. statistical testing, machine learning • Prior knowledge of talent/education/skills sector
Contact Detail:
Multiverse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insight Analyst
✨Tip Number 1
Familiarise yourself with the key metrics and trends in customer engagement and satisfaction. Understanding these indicators will not only help you in interviews but also demonstrate your commitment to the role and its responsibilities.
✨Tip Number 2
Brush up on your skills with Tableau and PostgreSQL, as these are crucial for the role. Consider working on personal projects or case studies that showcase your ability to analyse data and generate insights using these tools.
✨Tip Number 3
Engage with the data community online, such as forums or LinkedIn groups, where you can discuss trends and share insights. This will not only expand your network but also keep you updated on best practices in data analysis.
✨Tip Number 4
Prepare to discuss how you've previously influenced stakeholders with your analyses. Think of specific examples where your insights led to actionable changes, as this will highlight your ability to communicate effectively and drive results.
We think you need these skills to ace Insight Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly focusing on your work with customer-related data. Emphasise your proficiency in tools like Tableau and PostgreSQL, as well as any experience in a fast-growing tech environment.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Multiverse's mission and how your skills align with the role of Insight Analyst. Provide specific examples of how you've used data to drive actionable insights and influence stakeholders in previous roles.
Showcase Your Analytical Skills: Include examples of quantitative analyses you've conducted, especially those that involved customer-product and go-to-market data. Highlight any experience with designing experiments or generating reports tailored for different audiences.
Demonstrate Stakeholder Engagement: Mention instances where you've successfully collaborated with cross-functional teams or provided analytical support to stakeholders. This will show your ability to communicate insights effectively and promote a strong data culture.
How to prepare for a job interview at Multiverse
✨Showcase Your Analytical Skills
As an Insight Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used data to drive decisions in previous roles. Highlight your experience with tools like Tableau and PostgreSQL, and be ready to explain your analytical process.
✨Understand the Company’s Mission
Multiverse is focused on equitable access to economic opportunity. Familiarise yourself with their mission and values, and think about how your personal values align with theirs. This will show your commitment and help you connect with the interviewers.
✨Prepare for Stakeholder Engagement Questions
Since the role involves working closely with various teams, expect questions about stakeholder engagement. Prepare examples of how you've effectively communicated insights to different audiences and how you've fostered a data-driven culture in your previous roles.
✨Demonstrate Your Problem-Solving Approach
The role requires a pragmatic and tenacious mindset. Be ready to discuss challenges you've faced in data analysis and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your responses for clarity.
