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- Tasks: Transform complex datasets into actionable insights and create advanced Power BI dashboards.
- Company: Leading care group based in Leeds with a focus on data-driven decision-making.
- Benefits: Competitive benefits including private medical cover, generous holiday allowance, and wellbeing support.
- Why this job: Make a real impact by driving insights that shape the future of care.
- Qualifications: Advanced Power BI skills and substantial experience in data analytics.
- Other info: Join a supportive team in a dynamic environment with growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading care group is seeking a Senior Data Analyst located in Leeds. You will transform complex datasets into actionable insights, create advanced Power BI dashboards, and support data-driven decision-making within the organisation. The role requires advanced Power BI skills and substantial experience in data analytics.
The company offers competitive benefits including private medical cover, generous holiday allowance, and wellbeing support among others.
Senior Data Analyst: Power BI & Insights Lead in London employer: Maria Mallaband Care Group Ltd
Contact Detail:
Maria Mallaband Care Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst: Power BI & Insights Lead in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the care group on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your Power BI skills! Create a mini-project or dashboard that showcases your ability to turn data into insights. Share it during interviews to impress the hiring team.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on common data analytics scenarios and be ready to discuss how you've tackled challenges in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Data Analyst: Power BI & Insights Lead in London
Some tips for your application 🫡
Show Off Your Power BI Skills: Make sure to highlight your advanced Power BI skills in your application. We want to see how you've used it to create impactful dashboards and insights in your previous roles.
Data-Driven Storytelling: When you describe your experience, focus on how you've transformed complex datasets into actionable insights. We love a good story about how your data analysis led to real-world decisions!
Tailor Your CV and Cover Letter: Don’t just send the same old CV! Tailor your application to reflect the specific requirements of the Senior Data Analyst role. We appreciate when candidates take the time to connect their experience with what we’re looking for.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Maria Mallaband Care Group Ltd
✨Master Power BI
Make sure you brush up on your Power BI skills before the interview. Be ready to discuss specific projects where you've created dashboards or visualisations, and be prepared to demonstrate your understanding of data transformation techniques.
✨Know Your Data Analytics
Familiarise yourself with the latest trends in data analytics. Be ready to talk about how you've used data to drive decision-making in previous roles. Think of examples where your insights led to significant changes or improvements.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Prepare to explain how you would approach a complex dataset and what steps you would take to derive actionable insights from it.
✨Showcase Your Communication Skills
As a Senior Data Analyst, you'll need to communicate your findings effectively. Practice explaining complex data concepts in simple terms, as you may need to present your insights to non-technical stakeholders during the interview.
