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- Tasks: Analyse big data to provide insights and support data-driven decisions across departments.
- Company: Dynamic data analytics organisation based in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a passionate team and make an impact through data insights.
- Qualifications: Strong analytical skills and experience with Excel and SQL required.
- Other info: Ideal for those looking to grow in a fast-paced, innovative environment.
The predicted salary is between 28800 - 48000 £ per year.
A data analytics organization in London seeks a candidate passionate about big data and analytics to provide insights across various departments.
Responsibilities include:
- Supporting data-driven decisions
- Improving reporting processes
- Ensuring data integrity
Ideal candidates will possess:
- Strong analytical skills
- Experience with data tools such as Excel and SQL
- The ability to convey complex data simply
Only candidates based in the UK are encouraged to apply to this position.
Data Insights Analyst: Dashboards, SQL & BI in London employer: Environmental Career Center
Contact Detail:
Environmental Career Center Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insights Analyst: Dashboards, SQL & BI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data analytics field on LinkedIn or at local meetups. 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 best dashboards and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions. Practice explaining complex data concepts in simple terms, as this is key for the role. We want to see how you can make data accessible!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Insights Analyst: Dashboards, SQL & BI in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for big data and analytics shine through. We want to see how your passion aligns with our mission at StudySmarter, so share any relevant experiences or projects that highlight your love for data.
Highlight Your Analytical Skills: Make sure to emphasise your strong analytical skills in your application. We’re looking for someone who can support data-driven decisions, so include examples of how you've used tools like SQL and Excel to derive insights and improve reporting processes.
Keep It Simple: Remember, we value the ability to convey complex data simply. In your application, try to demonstrate how you can break down intricate concepts into understandable terms. This will show us that you can communicate effectively across various departments.
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Environmental Career Center
✨Know Your Data Tools
Make sure you brush up on your skills with Excel and SQL before the interview. Be ready to discuss specific projects where you've used these tools to derive insights or improve reporting processes. This will show your practical experience and passion for data analytics.
✨Simplify Complex Concepts
Since the role requires conveying complex data simply, practice explaining your past projects in layman's terms. Think about how you would describe your findings to someone without a technical background. This will demonstrate your ability to communicate effectively across departments.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical skills. Think of situations where you supported data-driven decisions or improved data integrity. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly and effectively.
✨Research the Company
Familiarise yourself with the organisation's mission and values, as well as any recent projects or initiatives they've undertaken. This will not only help you tailor your answers but also show your genuine interest in the company and its goals.
