At a Glance
- Tasks: Lead data reporting and analytics projects, transforming insights into actionable strategies.
- Company: Join Moody's Corporation, 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 diverse perspectives and innovation.
- Why this job: Make an impact by leveraging AI to navigate risks and unlock opportunities.
- Qualifications: 10+ years in data analytics, strong SQL skills, and a passion for AI.
The predicted salary is between 70000 - 90000 £ per year.
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. 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).
Responsibilities- 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.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Associate Director - Data Analyst in London employer: hackajob
At Moody's Corporation, we pride ourselves on being an exceptional employer that fosters a culture of inclusivity and innovation. Our commitment to employee growth is evident through our focus on collaboration and the exchange of diverse perspectives, ensuring that every team member feels valued and empowered to contribute. Located in a dynamic environment, we offer unique opportunities to engage with cutting-edge AI technologies while navigating the complexities of risk management, making it a truly rewarding place to advance your career.
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 fit for the role but also align with their mission of turning risks into opportunities.
✨Tip Number 3
Practice our storytelling skills! We should be ready to share specific examples from our experience that highlight our skills in data analysis and stakeholder management. This is our chance to shine!
✨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 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your 10+ years in business intelligence and analytics, and don’t forget to mention any experience with tools like Power BI or SQL!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this role at Moody's. Share how your curiosity and innovative thinking can contribute to transforming risk into opportunity. Be genuine and let your personality shine through!
Showcase Your Stakeholder Management Skills:Since this role involves a lot of stakeholder management, provide examples of how you've successfully gathered requirements and translated them into actionable insights. We want to see your ability to communicate effectively across teams!
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 ensure it gets the attention it deserves. Don’t hesitate—if you think you’re a fit, we want to hear from you!
How to prepare for a job interview at hackajob
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data modelling, SQL, and analytics tools like Power BI or Tableau. Be ready to discuss how you've used these in past roles, especially in relation to revenue operations or finance. 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 working with AI concepts, be ready to talk about your interest in AI tools and how they can improve processes. Share any experiences you have with AI applications, 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 of ways you've embodied them in your work. Whether it's investing in relationships or championing diverse perspectives, showing that you align with their culture will set you apart from other candidates.
