At a Glance
- Tasks: Lead data reporting and analytics projects, transforming insights into actionable strategies.
- Company: Join Moody's, a global leader in risk assessment and analytics.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and integrity.
- Why this job: Make an impact by leveraging AI and data to drive business decisions.
- Qualifications: 10+ years in data analytics, strong SQL skills, and a passion for AI.
The predicted salary is between 80000 - 100000 € per year.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills And Competencies- 10+ years of requirements gathering and stakeholder management experience in business intelligence, analytics, or data product delivery supporting revenue/lead-to-cash or finance operations; ability to translate needs into clear user stories and acceptance criteria.
- Experience with customer relationship management platforms (e.g., Salesforce) and modern analytics tools (e.g., Microsoft Power BI, Tableau, or Alteryx).
- Working knowledge of data modelling and data warehousing/Lakehouse concepts, including data quality and governance.
- Ability to read and validate Structured Query Language (SQL) and interpret existing queries, views, stored procedures, and functions.
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency.
- Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.
- Bachelor's degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field (or equivalent practical experience).
- Own reporting requirements for the data Lakehouse and Power BI buildout, delivering reports, data models, and testing with business partners.
- Own and manage reporting requirements for lead-to-cash use cases, prioritising demand and aligning scope, dependencies, and timelines with stakeholders.
- Elicit and document business needs with Finance, Sales, and Marketing; translate them into user stories, acceptance criteria, process flows, and a clear backlog for delivery.
- Define metrics, business rules, and data definitions; partner on dimensional/data modelling for the lakehouse and the Power BI semantic layer to ensure consistent reporting.
- Coordinate with data engineering and information technology teams on the data Lakehouse and Power BI buildout, clarifying requirements, dependencies, and non‐functional needs (for example, refresh cadence and security).
- Support reporting development by validating source‐to‐report logic (including Structured Query Language (SQL)) and partnering on dashboard/report builds in Power BI.
- Plan and execute testing (system and user acceptance testing), document delivered solutions, and support adoption and data governance.
- Work independently while coordinating across teams.
The Customer Operations and Risk organization supports the customer lifecycle and lead-to-cash processes. This role sits within the Business Systems function as part of Data Management and Analytics team to deliver trusted data, reporting, and insights that enable decision‐making across the business.
Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Associate Director - Data Analyst in London employer: Moody's Corporation
At Moody's, we pride ourselves on fostering an inclusive and innovative work environment where every employee is empowered to contribute their unique perspectives. As a global leader in risk assessment, we offer exceptional growth opportunities, competitive benefits, and a culture that champions collaboration and integrity. Join us in our mission to transform risk into opportunity while working alongside some of the brightest minds in the industry, all within a dynamic and supportive setting in [location].
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director - Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Moody's on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by researching Moody's values and recent projects. We want to show that we’re not just a good fit for the role, but also for the company culture. Tailor our answers to reflect their mission of turning risks into opportunities.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help us nail down our responses. Focus on articulating our experience with data analytics and how it aligns with the role’s requirements.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, it shows we’re genuinely interested in being part of the Moody's team.
We think you need these skills to ace Associate Director - Data Analyst in London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data and analytics shine through! We want to see how your experience aligns with our mission of turning risks into opportunities. Share specific examples that highlight your skills in data analysis and stakeholder management.
Tailor Your Application:Make sure to customise your application for the Associate Director - Data Analyst role. Highlight your relevant experience with tools like Power BI or SQL, and don’t forget to mention any work you've done with AI concepts. This shows us you’re not just sending a generic application!
Be Clear and Concise:We appreciate clarity! Use straightforward language and structure your application well. Break down your experiences into easy-to-read sections, and make sure to clearly outline how you meet the requirements listed in the job description. This helps us see your fit at a glance.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Moody's and what we stand for while you’re at it!
How to prepare for a job interview at Moody's Corporation
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data modelling and analytics tools like Power BI and SQL. Be ready to discuss how you've used these in past roles, especially in relation to lead-to-cash processes. This will show that you can hit the ground running!
✨Showcase Your Stakeholder Management Skills
Prepare examples of how you've gathered requirements and managed stakeholders in previous projects. Highlight your ability to translate complex needs into clear user stories and acceptance criteria. This is crucial for the role, so make it a key part of your discussion.
✨Demonstrate Curiosity About AI
Since the role involves understanding AI concepts, come prepared with insights on how AI can improve data processes. Share any experiences you have with AI tools and express your enthusiasm for learning more about responsible AI practices.
✨Align with Moody's Values
Familiarise yourself with Moody's core values and think about how you embody them. Be ready to discuss how you invest in relationships, champion diverse perspectives, and uphold trust through integrity. This will help you connect with the interviewers on a deeper level.
