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- Tasks: Transform user data into actionable insights and analyse extensive datasets.
- Company: Data-focused tech company in the UK with a strong emphasis on innovation.
- Benefits: Competitive salary, share options, flexible working, and up to 32 days of holiday.
- Why this job: Make a real impact by turning data into insights that drive decisions.
- Qualifications: Commercial experience in data analysis and strong skills in SQL and visualisation.
- Other info: Hybrid role with a collaborative team and opportunities for growth.
The predicted salary is between 28800 - 48000 £ per year.
A data-focused technology company in the United Kingdom is seeking an experienced Data Analyst to transform user data into actionable insights. You will analyse extensive datasets, collaborate with product and sales teams, and champion data quality.
Ideal candidates have commercial experience in data analysis and strong skills in visualization, SQL, and communication.
This hybrid role offers competitive salary, share options, and flexible working arrangements including up to 32 days of holiday.
Data Analyst – Scale Insights for Open Data (Hybrid) in London employer: Gener8
Contact Detail:
Gener8 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Scale Insights for Open Data (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those involving SQL and visualisation. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help us refine our communication skills and get comfortable discussing our data insights.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Analyst – Scale Insights for Open Data (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and showcases your skills in SQL and visualisation. We want to see how your background aligns with the role, so don’t be shy about tailoring it to fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how you can contribute to our team. We love seeing candidates who can communicate their insights clearly.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see how you've applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Gener8
✨Know Your Data Tools
Make sure you brush up on your SQL skills and any data visualisation tools mentioned in the job description. Be ready to discuss how you've used these tools in past roles to derive insights from data.
✨Showcase Your Communication Skills
Since this role involves collaboration with product and sales teams, prepare examples of how you've effectively communicated complex data findings to non-technical stakeholders. This will demonstrate your ability to champion data quality.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data problems or analyse a dataset on the spot. Practise explaining your thought process clearly and logically, as this will showcase your analytical skills.
✨Research the Company’s Data Culture
Familiarise yourself with the company’s approach to data and any recent projects they've undertaken. This knowledge will help you tailor your answers and show genuine interest in how you can contribute to their data-driven initiatives.
