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For Companies At a Glance
- Tasks: Drive data-informed decisions and build reporting tools to support operations.
- Company: Join Multiverse, a leader in innovative apprenticeships for future tech and data skills.
- Benefits: Enjoy generous holiday leave, health benefits, and hybrid/remote work options.
- Why this job: Be part of a mission-driven team making a real impact in economic opportunity.
- Qualifications: 3+ years as a Data Analyst; proficiency in G-sheets and data visualisation tools required.
- Other info: Applications reviewed from April 28th; must have the right to work in the UK.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Implementation Data Specialist role at Multiverse. We’re on a mission to provide equitable access to economic opportunity through innovative apprenticeships that combine work and learning. We collaborate with over 1,500 companies, including Microsoft, Citi, and Just Eat, training over 16,000 professionals in future tech and data skills.
Role Overview
As a Data Analyst, you will drive data-informed decisions, build and maintain reporting tools, and support stakeholders with insights into our fulfilment operations. Your analytical skills will help identify improvements and automate processes.
Responsibilities include:
- Partner with Fulfilment Operations to understand data needs and develop tools.
- Extract, clean, and analyze large datasets to inform actions for continuous improvement.
- Perform exploratory data analysis to identify trends and anomalies.
- Create and maintain dashboards using tools like G-sheets, Metabase, Tableau, and Salesforce.
- Communicate findings effectively to technical and non-technical audiences.
- Monitor KPIs, suggest improvements, and contribute to data-driven strategies.
- Support team enablement and training on new tools.
About You
Required:
- 3+ years experience as a Data or Business Analyst.
- Proficiency in G-sheets; SQL knowledge is a plus.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively.
Desirable:
- Knowledge of scripting languages (Python, R).
- Experience in EdTech or fast-growth startups.
- Experience with A/B testing and experimental design.
Benefits & Hiring Process
We offer generous holiday leave, health & wellness benefits, hybrid/remote work options, and team events. Applications will be reviewed from the week of April 28th, with screening in early May.
Our Commitment
We are an equal opportunity employer committed to diversity, equity, and inclusion. We do not sponsor visas; applicants must have the right to work in the UK. All roles involve safeguarding responsibilities, including DBS checks.
Implementation Data Specialist employer: Multiverse
Contact Detail:
Multiverse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Implementation Data Specialist
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as G-sheets, Tableau, and Metabase. Having hands-on experience or even creating sample dashboards can demonstrate your capability to potential employers.
✨Tip Number 2
Network with current or former employees of Multiverse on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights and potentially a referral.
✨Tip Number 3
Prepare to discuss your previous projects where you've used data analysis to drive decisions. Be ready to share specific examples that highlight your analytical skills and problem-solving abilities.
✨Tip Number 4
Stay updated on trends in EdTech and data analytics. Being knowledgeable about the industry can help you articulate how your skills align with Multiverse's mission during interviews.
We think you need these skills to ace Implementation Data Specialist
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Implementation Data Specialist role. Understand the key responsibilities and required skills, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 3+ years of experience as a Data or Business Analyst. Be specific about your proficiency in G-sheets and any experience with SQL, data visualisation tools, and analytical projects you've worked on.
Showcase Your Skills: Demonstrate your analytical and problem-solving skills by providing examples of how you've used data to drive decisions or improve processes in previous roles. Mention any experience with A/B testing or scripting languages like Python or R if applicable.
Communicate Effectively: Since the role requires communicating findings to both technical and non-technical audiences, ensure your application reflects your ability to convey complex information clearly. Use straightforward language and avoid jargon where possible.
How to prepare for a job interview at Multiverse
✨Showcase Your Analytical Skills
As an Implementation Data Specialist, your analytical skills are crucial. Be prepared to discuss specific examples of how you've used data analysis to drive decisions in previous roles. Highlight any tools you've used, such as SQL or Tableau, and the impact your insights had on the business.
✨Familiarise Yourself with Their Tools
Since the role involves using G-sheets, Metabase, Tableau, and Salesforce, make sure you are comfortable with these tools. If you have experience with similar software, mention it during the interview. You could even prepare a small demo or example of a dashboard you've created in the past.
✨Communicate Clearly
You'll need to communicate findings to both technical and non-technical audiences. Practice explaining complex data concepts in simple terms. Consider preparing a few key points that demonstrate your ability to tailor your communication style to different stakeholders.
✨Demonstrate Continuous Improvement Mindset
The role focuses on identifying improvements and automating processes. Be ready to discuss how you've approached continuous improvement in your previous positions. Share specific instances where your initiatives led to enhanced efficiency or effectiveness in operations.
