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 diversity and integrity.
- Why this job: Make a real impact by decoding risk and unlocking opportunities with innovative AI solutions.
- 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).
- 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 employer: hackajob
Moody's Corporation is an exceptional employer that fosters a culture of inclusivity and innovation, empowering employees to turn risks into opportunities. With a strong commitment to professional growth, Moody's offers extensive resources for career development and encourages diverse perspectives, making it an ideal workplace for those passionate about data analytics and risk management. Located in a dynamic environment, employees benefit from cutting-edge technology and collaborative teams that drive meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director - Data Analyst
✨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 diving deep into Moody's values and mission. We should be ready to discuss how our experiences align with their focus on innovation and inclusivity—show them we’re a perfect fit!
✨Tip Number 3
Practice makes perfect! Let’s do some mock interviews with friends or use online platforms. The more we rehearse our answers, especially around data analytics and AI, the more confident we’ll feel when it counts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, if we don’t tick every box, it’s still worth a shot—Moody's values diverse perspectives!
We think you need these skills to ace Associate Director - Data Analyst
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 your passion for data and how you can contribute to turning risks into opportunities. Remember, we love curiosity and diverse perspectives!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've translated complex requirements into clear user stories or reports. We want to see how you’ve tackled challenges in the past and what innovative solutions you’ve come up with.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we’re excited to see what you bring to the table!
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 lead-to-cash processes.
✨Showcase Your Stakeholder Management Skills
Prepare examples that highlight your experience in gathering requirements and managing stakeholders. Think about how you’ve translated business needs into user stories and acceptance criteria, as this will be crucial for the role.
✨Demonstrate Curiosity About AI
Since the role involves understanding AI concepts, come prepared with questions or insights about how AI can improve data processes. Show your enthusiasm for learning and adapting to new technologies.
✨Align with Moody's Values
Familiarise yourself with Moody's core values and think of ways you embody them. Be ready to discuss how you invest in relationships, champion diverse perspectives, and uphold integrity in your work.
