At a Glance
- Tasks: Lead data reporting and analytics projects, translating business needs into actionable insights.
- Company: Join a forward-thinking company that values diversity and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with cross-functional teams to enhance data governance and reporting.
- Why this job: Make an impact by driving data-driven decisions in a dynamic environment.
- Qualifications: 10+ years in data analysis, with strong skills in SQL and analytics tools.
The predicted salary is between 70000 - 90000 € per year.
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.
Education
- 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.
About the Team
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: Moody
Moody's Corporation is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Associate Director - Data Analyst role. With a strong emphasis on employee growth, you will have access to cutting-edge analytics tools and the opportunity to work alongside talented professionals in a dynamic environment that values diversity and ethical practices. Located in a vibrant area, Moody's offers competitive benefits and a commitment to supporting your career development while making a meaningful impact in the finance and analytics sectors.
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 your connections in the industry, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals that could give you the edge.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analytics and stakeholder management. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your experience effectively.
✨Tip Number 3
Showcase your skills with a portfolio! Create a collection of your best projects, reports, or dashboards that highlight your expertise in tools like Power BI or SQL. This visual proof can really impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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 experience mentioned in the job description. Highlight your 10+ years in requirements gathering and stakeholder management, and don’t forget to mention your experience with tools like Salesforce and Power BI!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain how your background in data analytics aligns with our needs. Share specific examples of how you've translated business needs into user stories and acceptance criteria.
Show Off Your SQL Skills:Since SQL is a key part of this role, make sure to mention any relevant experience you have with reading and validating SQL queries. If you’ve worked on data modelling or governance, give us the details!
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!
How to prepare for a job interview at Moody
✨Know Your Data Inside Out
Make sure you brush up on your data modelling and warehousing concepts. Be ready to discuss how you've used SQL in past projects, as well as your experience with tools like Power BI or Tableau. This will show that you can hit the ground running!
✨Master the Art of Storytelling
Since you'll be translating business needs into user stories, practice explaining complex data concepts in simple terms. Think about examples from your past where you successfully gathered requirements and delivered insights that drove decisions.
✨Show Your Curiosity for AI
The role requires an understanding of AI concepts, so come prepared to discuss how you've explored AI tools in your previous roles. Share any experiences where you've used AI to improve processes or drive efficiency, and express your enthusiasm for learning more.
✨Prepare for Stakeholder Management Questions
Given the emphasis on stakeholder management, think of scenarios where you've effectively managed expectations and aligned priorities. Be ready to share how you’ve coordinated across teams and handled conflicting demands to deliver successful outcomes.
