Senior Data Analytics Lead - BI, Lakehouse & AI

Senior Data Analytics Lead - BI, Lakehouse & AI

Full-Time 60000 - 80000 € / year (est.) No home office possible
Moody's Corporation

At a Glance

  • Tasks: Lead data analytics projects and manage stakeholder requirements for impactful reporting.
  • Company: Join Moody's Corporation, a leader in financial intelligence and analytics.
  • Benefits: Attractive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on career advancement and skill development.
  • Why this job: Shape the future of data analytics in a dynamic and innovative environment.
  • Qualifications: Bachelor's degree and experience in data modelling and analytics tools required.

The predicted salary is between 60000 - 80000 € per year.

Moody's Corporation is seeking a Business Intelligence Analyst in Greater London. The role requires strong skills in requirements gathering and stakeholder management, particularly related to analytics and reporting using tools like Power BI and Salesforce. A Bachelor's degree in a relevant field is essential, along with data modelling experience.

Responsibilities include owning reporting requirements for the data Lakehouse and ensuring effective stakeholder alignment as part of the Customer Operations and Risk organization.

Senior Data Analytics Lead - BI, Lakehouse & AI employer: Moody's Corporation

Moody's Corporation is an exceptional employer, offering a dynamic work culture in the heart of Greater London that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to diversity and inclusion, making it a rewarding place for those looking to advance their careers in data analytics and business intelligence.

Moody's Corporation

Contact Detail:

Moody's Corporation Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analytics Lead - BI, Lakehouse & AI

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those who work at Moody's or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.

Tip Number 2

Show off your skills! If you've got experience with Power BI or Salesforce, create a portfolio showcasing your best work. This will not only impress potential employers but also give you something tangible to discuss during interviews.

Tip Number 3

Prepare for the interview by understanding the company’s culture and values. Moody's is all about analytics and stakeholder management, so think of examples from your past that highlight your experience in these areas.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have tips and resources available to help you ace the process.

We think you need these skills to ace Senior Data Analytics Lead - BI, Lakehouse & AI

Requirements Gathering
Stakeholder Management
Analytics
Reporting
Power BI
Salesforce
Data Modelling

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with data analytics and tools like Power BI and Salesforce. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Analytics Lead role. Share specific examples of your stakeholder management and reporting experience to grab our attention.

Showcase Your Educational Background:Since a Bachelor's degree in a relevant field is essential, make sure to highlight this prominently. If you have any additional certifications or training related to data modelling, include those too – we love seeing continuous learning!

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 the role. Plus, it’s super easy – just follow the prompts!

How to prepare for a job interview at Moody's Corporation

Know Your Tools Inside Out

Make sure you’re well-versed in Power BI and Salesforce. Familiarise yourself with their latest features and how they can be applied to analytics and reporting. Being able to discuss specific use cases or projects where you've successfully used these tools will impress your interviewers.

Master Stakeholder Management

Prepare examples of how you've effectively gathered requirements from stakeholders in the past. Think about challenges you faced and how you overcame them. This will show that you understand the importance of alignment and communication in a data-driven environment.

Showcase Your Data Modelling Skills

Brush up on your data modelling experience and be ready to discuss it in detail. Bring along examples of models you've created and explain how they contributed to better decision-making. This will demonstrate your technical expertise and problem-solving abilities.

Align with Company Values

Research Moody's Corporation and understand their mission and values. Be prepared to discuss how your personal values align with theirs, especially in the context of Customer Operations and Risk. This shows that you're not just a fit for the role, but also for the company culture.