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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) 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)
✨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
Prepare for the interview by brushing up on your SQL skills and data visualisation techniques. We want to show them we can turn complex datasets into clear insights that drive decisions.
✨Tip Number 3
Don’t forget to showcase our communication skills! Practice explaining your past projects in a way that highlights how you collaborated with teams and championed data quality.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we can tailor our CVs and cover letters to match what they’re looking for.
We think you need these skills to ace Data Analyst – Scale Insights for Open Data (Hybrid)
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with data analysis, SQL, and visualisation tools in your application. We want to see how you've transformed data into actionable insights in your previous roles!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Communicate Clearly: Since communication is key in this role, ensure your written application is clear and concise. We appreciate candidates who can articulate their thoughts well, so don’t shy away from showcasing your communication skills!
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
As a Data Analyst, you'll need to communicate complex data findings clearly. Prepare examples of how you've effectively shared insights with non-technical teams, like product or sales, to demonstrate your ability to bridge the gap between data and decision-making.
✨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 and the steps you would take to ensure data quality and actionable insights.
✨Research the Company’s Data Culture
Familiarise yourself with the company's approach to data and any recent projects they've undertaken. This will not only help you tailor your answers but also show your genuine interest in their work and how you can contribute to their goals.
