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For Companies At a Glance
- Tasks: Gather and interpret data to help organisations make informed decisions.
- Company: Leading educational technology company focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by turning data into actionable insights.
- Qualifications: Strong analytical skills and familiarity with SQL, Python or R.
- Other info: Join a dynamic team in a fast-paced environment.
The predicted salary is between 28000 - 45000 £ per year.
A leading educational technology company seeks a Data Analyst (IT Focus) to gather and interpret data, helping organizations make informed decisions.
Responsibilities include:
- Data cleaning
- Analysis using various tools
- Developing visual reports
The ideal candidate will have:
- Strong analytical skills
- Familiarity with SQL and programming languages like Python or R
- A degree in a related field
Salary range is between £28,000 and £45,000 per year.
Data Analyst (IT) — Insights, SQL & BI Visualizations in London employer: Developing Experts Ltd
Contact Detail:
Developing Experts Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (IT) — Insights, SQL & BI Visualizations in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL and BI visualisations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when tackling data problems, as this will demonstrate your analytical skills and familiarity with tools.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to show your enthusiasm for joining our team at StudySmarter.
We think you need these skills to ace Data Analyst (IT) — Insights, SQL & BI Visualizations in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with SQL and programming languages like Python or R. We want to see how your background aligns with the Data Analyst role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our mission at StudySmarter. Keep it concise but engaging – we love a good story!
Showcase Your Tools: Mention any tools or software you’ve used for data cleaning and visualisation. Whether it’s Tableau, Power BI, or something else, let us know how you’ve leveraged these tools to make data-driven decisions in your past roles.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Developing Experts Ltd
✨Know Your Data Tools
Make sure you brush up on your SQL skills and any BI tools mentioned in the job description. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data analysis.
✨Showcase Your Analytical Skills
Prepare examples of how you've gathered and interpreted data to drive decisions. Think about specific instances where your insights led to positive outcomes. This will demonstrate your ability to apply analytical thinking in real-world scenarios.
✨Visualisation Matters
Since the role involves developing visual reports, be prepared to talk about your experience with data visualisation. Bring along examples of your work or be ready to describe how you would approach creating a visual report for a given dataset.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the types of projects you might work on or how the team collaborates on data-driven decisions. This shows you're not just interested in the job, but also in contributing to the company's success.
