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Multiverse

Implementation Data Specialist

Reposted 20 Days Ago
Be an Early Applicant
In-Office
London, England
Mid level
In-Office
London, England
Mid level
As a Data Analyst, you'll drive data-informed decisions by building reporting tools, analyzing data trends, and aiding the Fulfilment Operations team to improve processes and automate tasks.
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Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1,500+ companies in the US & UK to deliver a new kind of learning that's transforming today’s workforce.

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.

In June 2022, Multiverse 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 the company the UK’s first EdTech unicorn.

But we aren’t stopping there. With a strong operational footprint and 800+ employees globally, 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 provide equitable access to economic opportunity, for everyone.

Please note: we will be reviewing applications w/c 28th April and screening candidates w/c 6th May.  

Role Overview

As a Data Analyst at Multiverse, you will play a pivotal role in driving data-informed decisions across the organisation. Leveraging your skills, you will not only build and maintain business critical reporting capabilities, you’ll play an important role in improving our ability to self-serve analysis to multiple stakeholders.

This is a dynamic role within a fast-paced environment where your analytical skills will support clients, candidates and internal team members to understand progress with our fulfilment operations, spotting areas of continuous improvement and automation.

In this role, you will...

  • Act as a partner within the Fulfilment Operations team to understand data requirements and build tools and resources that help our team work smarter

  • You will extract, clean and prepare large and complex datasets from various sources for analysis helping to direct action and focus for continuous improvement

  • Conduct in-depth exploratory data analysis to uncover trends, patterns, and anomalies within our fulfilment motion, playing an important role in helping us achieve our ambitious targets for the year ahead

  • Develop and maintain robust data models and reporting dashboards using tools such as G-sheets, Metabase, Tableau and Salesforce to streamline reporting to senior leaders within the business

  • Communicate complex data findings and recommendations clearly and concisely to both technical and non-technical audiences through compelling visualisations and presentations.

  • Proactively monitor key performance indicators (KPIs), identify areas for improvement, and contribute to the development of data-driven strategies.

  • Run internal enablement and provide support for team members to ensure they understand and adopt the tools you build

About you

  • 3+ years of proven experience working as a Data Analyst, Business Analyst with a strong analytical focus, or in a similar data-centric role.

  • Excellent capability in G-sheets, SQL proficiency a plus

  • Demonstrated experience with data visualisation tools (e.g., Looker, Tableau, Power BI, Google Data Studio) and the ability to create impactful and insightful dashboards.

  • Excellent analytical and problem-solving skills with a keen attention to detail and the ability to interpret complex datasets.

  • Strong communication and presentation skills, with the ability to effectively convey data insights to diverse audiences. Ideally experience in enabling/upskilling operational teams to use new data tools

  • A proactive and results-oriented mindset with the ability to work independently and as part of a collaborative team in a fast-paced environment.

  • A genuine curiosity about data and a passion for using it to drive positive change.

    Desirable:

    • Familiarity with scripting languages for data manipulation and analysis (e.g., Python, R).

    • Experience in the education technology (EdTech) sector

    • Experience working in a fast growth start up environment

    • Experience with A/B testing and experimental design

How we hire

Benefits

  • 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 & remote work offering - with weekly or monthly visits to the London office and the opportunity to work abroad 45 days a year

  • Team fun - weekly socials, company wide events and office snacks!

Our commitment to Diversity, Equity and Inclusion

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. Read our Equality, Diversity & Inclusion policy here.

Right to Work

Do you have the right to work in the UK? Unfortunately, at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.

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. 

Top Skills

G-Sheets
Google Data Studio
Looker
Metabase
Power BI
Python
R
Salesforce
SQL
Tableau

Multiverse London, England Office

2 Eastbourne Terrace, London, United Kingdom, W2 6LG

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