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For Companies At a Glance
- Tasks: Research and validate data from online sources while maintaining structured datasets.
- Company: Join Unison, a fast-growing telecom and renewables investment firm.
- Benefits: Enjoy full training, a supportive team, and a competitive salary.
- Other info: Perfect for recent grads or those looking to change careers.
- Why this job: Kickstart your career in data with no prior experience needed!
- Qualifications: Fluent English, attention to detail, and a positive attitude required.
The predicted salary is between 25000 - 30000 £ per year.
Unison is a telecom and renewables infrastructure investment firm funded in partnership with Ardian – the global investment house based in Paris with over $150 billion in assets under management. Unison commenced operations in 2003 and today invests in real estate and infrastructure hosting wireless and renewables tenants in the United States and Europe. The Company is expanding rapidly and looking for talented, entrepreneurial team members to grow with us.
Role Overview
Unison is looking for a detail‑oriented and organised individual to join our team as a Data Researcher. This role is ideally suited to recent graduates, early‑career professionals, career changers, or those returning to the workforce. If you enjoy online research, working with structured information, and communicating clearly, this role offers an excellent starting point in data‑focused work. No technical background or programming skills are required, and full onboarding and training will be provided. Location: United Kingdom (London‑based or hybrid, depending on location).
Responsibilities
- Researching and validating information from public and online sources.
- Maintaining and updating structured datasets accurately.
- Communicating with external stakeholders via phone and email.
- Following documented processes and quality standards.
- Assisting the team in meeting regular objectives and deadlines.
Qualifications
- Fluent in English (written and spoken).
- Confident computer user with the ability to learn new tools quickly.
- Strong attention to detail and accuracy.
- Clear written and verbal communication skills.
- Good organisational skills and reliability.
- Professional, positive attitude and willingness to learn.
- Even better if you have experience of the UK land registry system and/or using GIS software.
Ideal Candidates
- Candidates with backgrounds in customer service, administration or market research.
- Career changers with strong attention to detail.
- Entry‑level candidates interested in data and online research.
Benefits
- Full onboarding and structured training.
- A supportive, collaborative team environment.
- Clear processes and expectations.
- An excellent entry point into data and research roles.
How to Apply
Please submit a short cover letter and a one‑page CV in English. Applicants must have the right to live and work in the UK. Unfortunately, we are unable to provide visa sponsorship. This is a remote / hybrid role, but applicants must be based in the UK.
Salary £25,000 - £30,000 a year
Data Analyst (Entry-Level / Early Career) - UK employer: Unison Infrastructure
Contact Detail:
Unison Infrastructure Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Entry-Level / Early Career) - UK
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Knowing what Unison stands for will help you connect your skills to their mission.
✨Tip Number 3
Practice your communication skills! Whether it's through mock interviews or casual conversations, being clear and confident will set you apart.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Unison.
We think you need these skills to ace Data Analyst (Entry-Level / Early Career) - UK
Some tips for your application 🫡
Craft a Catchy Cover Letter: Your cover letter is your chance to shine! Make it personal and engaging, showing us why you're excited about the Data Analyst role at Unison. Highlight your attention to detail and any relevant experience, even if it's from a different field.
Keep Your CV Concise: We love a well-structured CV! Stick to one page and focus on the skills and experiences that are most relevant to the job. Use bullet points for clarity and make sure to include any research or data-related tasks you've tackled before.
Show Off Your Communication Skills: Since this role involves communicating with external stakeholders, it's important to demonstrate your clear written communication. Use professional language in your application, and don’t forget to proofread for any typos or errors!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Unison Infrastructure
✨Know Your Role
Before the interview, make sure you understand the responsibilities of a Data Researcher at Unison. Familiarise yourself with the key tasks like researching and validating information, maintaining datasets, and communicating with stakeholders. This will help you tailor your answers to show how your skills align with what they’re looking for.
✨Show Off Your Attention to Detail
Since this role requires strong attention to detail, prepare examples from your past experiences where you demonstrated this skill. Whether it’s in customer service or market research, be ready to discuss how you ensured accuracy and quality in your work.
✨Practice Clear Communication
As communication is key in this role, practice articulating your thoughts clearly. You might be asked to explain complex ideas simply, so consider doing mock interviews with friends or family to refine your verbal communication skills.
✨Be Ready to Learn
Unison values a willingness to learn, especially since they provide onboarding and training. Be prepared to discuss how you’ve approached learning new tools or processes in the past, and express your enthusiasm for developing your skills in data-focused work.