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For Companies At a Glance
- Tasks: Drive data analysis and insights for client businesses, producing dashboards and ensuring data quality.
- Company: Leading consulting firm in the UK with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights for clients.
- Qualifications: Strong SQL skills, experience with BI tools, and effective communication abilities.
- Other info: Collaborative environment with opportunities to lead teams and work in an Agile setting.
The predicted salary is between 43200 - 72000 £ per year.
A leading consulting firm in the UK is seeking a Data Analyst to drive data analysis and insights for client businesses. The role focuses on complex data analysis, producing dashboards, and collaborating with stakeholders to ensure data quality and governance.
Strong skills in SQL and BI tools like Power BI are required. Candidates should also possess experience in an Agile environment, effective communication abilities, and the capacity to lead teams.
The position offers a hybrid working model.
Senior Data Analyst: Client-Facing Insights & Analytics in Birmingham employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst: Client-Facing Insights & Analytics in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Senior Data Analyst role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data analysis projects, dashboards, and any SQL queries you've nailed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Agile methodologies and communication strategies. Be ready to discuss how you've collaborated with stakeholders in the past and how you ensure data quality and governance.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Data Analyst: Client-Facing Insights & Analytics in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and BI tools like Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing your data analysis prowess!
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 your previous experiences have prepared you for this role. Let us know how you can contribute to our team!
Showcase Your Communication Skills: Since this role involves collaborating with stakeholders, it’s crucial to demonstrate your effective communication abilities. Share examples of how you've successfully conveyed complex data insights in the past.
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 during the process!
How to prepare for a job interview at Capgemini
✨Know Your Data Tools
Make sure you brush up on your SQL and Power BI skills before the interview. Be ready to discuss specific projects where you've used these tools to drive insights, as this will show your practical experience and technical prowess.
✨Showcase Your Analytical Mindset
Prepare to talk about complex data analysis you've conducted in the past. Think of examples where your insights led to significant business decisions. This will demonstrate your ability to think critically and provide value to client businesses.
✨Emphasise Collaboration Skills
Since the role involves working with stakeholders, be ready to share experiences where you've successfully collaborated with others. Highlight how you ensured data quality and governance while working in an Agile environment, as this is crucial for the position.
✨Communicate Effectively
Practice explaining your analytical findings in a clear and concise manner. You might be asked to present data insights during the interview, so being able to communicate complex information simply will set you apart from other candidates.
