At a Glance
- Tasks: Analyse large data sets and deliver actionable insights using SQL, Power BI, and Azure Databricks.
- Company: Leading water and wastewater company in the UK with a focus on innovation.
- Benefits: Competitive pay, generous time off, pension scheme, and wellness resources.
- Why this job: Make a real impact by contributing to solutions that affect millions of customers daily.
- Qualifications: Experience in data analysis, SQL, Power BI, and Azure Databricks required.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading water and wastewater company in the UK is looking for a Senior Data Analyst to enhance their analytical capacity. This role involves analyzing large data sets to deliver actionable insights, developing reports, and automating processes using SQL, Power BI, and Azure Databricks.
It offers competitive pay, generous time off, and various benefits, including a pension scheme and wellness resources, while contributing to solutions that impact millions of customers daily.
Senior Data Analyst: Power BI, Python & Azure Databricks in London employer: idibu
Contact Detail:
idibu Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst: Power BI, Python & Azure Databricks in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We can’t stress enough how personal connections can give you the inside scoop on the company culture and even lead to referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work with Power BI, Python, and Azure Databricks. We recommend creating a few case studies that highlight your analytical prowess and how you've turned data into actionable insights.
✨Tip Number 3
Ace the interview! Research common interview questions for data analysts and practice your responses. We suggest using the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re all about making the process smooth, so don’t hesitate to showcase your enthusiasm for the role and the impact you can make.
We think you need these skills to ace Senior Data Analyst: Power BI, Python & Azure Databricks in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI, Python, and Azure Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 of enhancing analytical capacity. Keep it engaging and personal!
Showcase Your Analytical Skills: In your application, give examples of how you've tackled large data sets in the past. We love seeing real-world applications of your skills, so share any insights or reports you've developed that made an impact.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at idibu
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, Python, and Azure Databricks. Brush up on your SQL skills too! Be ready to discuss specific projects where you've used these tools to analyse data and deliver insights.
✨Showcase Your Analytical Mindset
Prepare to talk about how you approach problem-solving with data. Think of examples where your analysis led to actionable insights or improved processes. This will demonstrate your ability to contribute to the company’s goals.
✨Practice Common Interview Questions
Familiarise yourself with typical interview questions for data analysts. Questions might include how you handle large datasets or automate reporting processes. Practising your responses can help you feel more confident during the interview.
✨Research the Company and Its Impact
Understand the company’s mission and how they serve their customers. Being able to articulate how your role as a Senior Data Analyst can enhance their analytical capacity will show your genuine interest and alignment with their goals.