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- Tasks: Design and deliver reporting solutions to turn complex data into actionable insights.
- Company: Leading recruitment company with a focus on data and analytics.
- Benefits: Fixed-term contract, collaborative environment, and opportunities for skill development.
- Why this job: Make a real impact by providing insights to senior leaders using your data skills.
- Qualifications: Strong SQL experience and proficiency in Tableau or similar tools.
- Other info: Join a dynamic team and enhance your career in data analytics.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment company is seeking a proactive Data Analyst to join their national data and analytics team. This hybrid position involves designing and delivering reporting solutions to convert complex data into actionable insights for senior leaders. The ideal candidate should possess strong SQL experience and proficiency in Tableau or other visualization tools. This role offers a fixed-term contract of 23 months and promotes collaboration across teams.
Hybrid Data Insights Analyst (23-Month) — SQL & Tableau employer: Big Red Recruitment
Contact Detail:
Big Red Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Insights Analyst (23-Month) — SQL & Tableau
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with data analytics. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Tableau 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 analysis scenarios. Be ready to discuss how you've turned complex data into actionable insights in past roles or projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Hybrid Data Insights Analyst (23-Month) — SQL & Tableau
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL experience in your application. We want to see how you've used SQL to tackle real-world problems and deliver insights, so don’t hold back on the details!
Visualisation is Key: If you’ve got experience with Tableau or other visualisation tools, let us know! Share examples of how you’ve turned complex data into easy-to-understand visuals that have helped decision-makers.
Tailor Your Application: Take a moment to customise your application for this role. We love seeing candidates who take the time to align their skills and experiences with what we’re looking for in a Data Insights Analyst.
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 this exciting opportunity!
How to prepare for a job interview at Big Red Recruitment
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL queries, data manipulation, and any specific projects where you've used SQL to derive insights. Practising common SQL questions can really help you stand out.
✨Show Off Your Tableau Skills
Since this role requires proficiency in Tableau, be ready to showcase your knowledge. Bring examples of dashboards or reports you've created, and be prepared to explain your design choices. If possible, practice a quick demo to illustrate how you turn data into visual stories.
✨Understand the Business Context
Research the company and its industry to understand the types of data they work with. This will help you tailor your answers to show how your skills can directly benefit their team. Think about how you can convert complex data into actionable insights that align with their goals.
✨Emphasise Collaboration
This role promotes collaboration across teams, so be ready to discuss your experience working with others. Share examples of how you've successfully collaborated on data projects, highlighting your communication skills and ability to work in a team environment.
