• Location
    • London
  • Date Posted
  • Jan. 10, 2022
  • Function
  • Data Science
  • Sector
  • Business Applications

We are Multiverse, a tech startup with a social mission. We’re building an outstanding alternative to university and corporate training, to develop a diverse group of future leaders. Our impact focuses on three core areas: measuring potential beyond academics, delivering world-class job-focused training via applied learning, and helping diverse groups of young people build social capital through a thriving community.

We are one of the fastest growing businesses in Europe and also rapidly expanding in North America, working with over 300 clients including Facebook, Morgan Stanley, KPMG, Kantar, Citi and Microsoft.

We started 2021 with the UK’s largest ever EdTech funding round - a $44m Series B. Since then we’ve opened our New York office, and been awarded “Outstanding” by OFSTED (the UK government’s education regulator) across every category. In September 2021, we broke the funding record again with a $130m Series C raise.

We are looking for exceptional people to join us as we create something genuinely radical that will replace the way people think about accessing careers and how they learn.

Requirements

We are looking for an exceptional and talented Data Analyst to join our rapidly growing GTM Operations team. This position will focus on providing sound business insights from data sets and the business mindset to convert those insights into strategic opportunities. This role will work closely with leaders across multiple business functions, including Sales, Delivery and Talent to support high-quality, data driven decisions and will ensure data accuracy and consistent reporting from multiple data sources.

Responsibilities

  • Reporting to the GTM Operations Manager, the Data Analyst will own CRM (HubSpot) data compliance and completeness across the business
  • Promote best practice processes across the client team and monitor compliance
  • Gather, analyze, and present data and information from multiple data sources and create reports to evaluate achievement of sales targets and objectives
  • Analyse and drive operational excellence across key client team motions: Inbound lead qualification, pipeline generation, opportunity management and customer success
  • Increase client team productivity by identifying process improvement opportunities across the Sales and Customer Success teams
  • Work closely with the VP of GTM, Head of Customer Success and the Delivery Team to understand their reporting needs and translate these into business, functional and technical requirements

What does great look like?

The ideal candidate will have an analytical mindset and be passionate about working with data; you’ll quickly identify what data is required to take on a problem and how to analyse it to get to the answer. They will be proactive, and work in a highly collaborative way across multiple business functions and stakeholders. They will be a self-starter who thrives in the face of an ever-changing start-up environment. We are looking for someone with a great work ethic, who is resourceful and creative in their approach to problem-solving. The ideal candidate will have a strong background and be degree educated in a similar field. This position could suit a recent graduate and we are not expecting the finished article, Multiverse are happy to train the right candidate.

About you

  • 1-2 years in start-up/fast-moving environment
  • 2.1/1st in good uni or strong A levels + experience
  • Experience working with data
  • Evidence of being special/proactive/curious/sparky character
  • Evidence of customer/sales-facing role/data set interpretation
  • You enjoy a busy and dynamic working environment and enjoy working collaboratively with various department across the organization
  • You have experience working with complex data sets, deriving insights with great attention to detail
  • You will have proficiency with data analysis and drawing out key insights using MS Excel / Gsheets, bonus if you have experience with SQL
  • Practical experience with visualisations, report and dashboard building, tools include MS Excel / GSheets and tableau
  • You are passionate about social mobility and doing social good
  • Degree educated in a relatable field to data and analytics

Benefits

  • Equity options
  • 27 days holiday (3 days are used for our December company switch off)
  • 1 Life Event Day (can be for your birthday, moving house, getting a puppy...)
  • 1 Volunteer Day to support a charitable cause
  • Private Medical Insurance with Bupa
  • Medical cash back scheme with Medicash
  • Life Insurance with YuLife
  • Cycle to work scheme
  • Spill, all in one mental health support
  • Employer pension contributions of 3% on capped pensionable earnings
  • Socials and more!!

Our commitment to inclusivity

We’re an equal opportunities employer. And proud of it. 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. This will never change.

Covid-19 and hiring

As we navigate through this pandemic together, we want to reassure you that keeping candidates and our employees safe is of paramount importance to us. That’s why the entire recruitment process will take place remotely, using phone and video calls (usually zoom). For successful candidates who end up being hired, we always ensure a safe, engaging and (for the time being) a remote onboarding experience. We also take care to make sure all of your equipment will be sent to you by courier, so you are ready for your first day.

Safeguarding

All posts in Multiverse involve some degree of responsibility for safeguarding. 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