Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data trends and create impactful reports to drive business decisions.
- Company: Dynamic data analytics company based in Hertfordshire.
- Benefits: Competitive salary, full-time position, and opportunities for growth.
- Why this job: Join a team where your analytical skills can shine and make a difference.
- Qualifications: Experience with SQL, data visualisation tools, and Python is a plus.
- Other info: Permanent role with a vibrant work culture and career advancement potential.
The predicted salary is between 30000 - 35000 £ per year.
A data analytics company is seeking a Junior to Mid-Level Data Analyst to join their team in Hertfordshire. The role involves developing SQL queries, analysing data trends, and producing reports to support business decision-making.
Ideal candidates will have experience with data visualisation tools like Tableau or Power BI, knowledge of Python, and strong analytical skills.
This is a permanent, full-time position with a salary range of £30,000 - £35,000 based on experience, with no visa sponsorship available.
Data Analyst (Junior–Mid) – Onsite in Hertfordshire employer: Infused Solutions
Contact Detail:
Infused Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Junior–Mid) – Onsite in Hertfordshire
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your SQL queries, data visualisations, or any projects you've done with Python. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data analysts. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive tips and resources available there to help you land that job.
We think you need these skills to ace Data Analyst (Junior–Mid) – Onsite in Hertfordshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, data visualisation tools like Tableau or Power BI, and any Python skills you have. We want to see how your background fits with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your skills can contribute to our team. Keep it concise but engaging – we love a good story!
Show Off Your Analytical Skills: In your application, don’t just list your skills; demonstrate them! If you’ve worked on projects that involved analysing data trends or producing reports, share those experiences. We’re keen to see your analytical mindset in action!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Infused Solutions
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL queries in past projects and maybe even solve a few sample problems on the spot. This will show that you’re not just familiar with SQL, but that you can apply it effectively.
✨Showcase Your Data Visualisation Skills
Familiarise yourself with data visualisation tools like Tableau or Power BI. Bring examples of reports or dashboards you've created in the past. Being able to demonstrate your ability to turn complex data into clear visuals will impress the interviewers.
✨Brush Up on Python Basics
Since knowledge of Python is essential for this role, make sure you can discuss your experience with it confidently. Prepare to talk about any projects where you've used Python for data analysis, and be ready to answer technical questions related to it.
✨Prepare for Analytical Questions
Expect questions that test your analytical thinking. Practice explaining how you approach data analysis, identify trends, and make decisions based on your findings. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
