At a Glance
- Tasks: Lead data reporting and analytics projects, translating business needs into actionable insights.
- Company: Join a dynamic team at Moody's, a leader in data management and analytics.
- Benefits: Enjoy competitive pay, inclusive culture, and opportunities for professional growth.
- Other info: Collaborate with cross-functional teams and enhance your career in a supportive setting.
- Why this job: Make an impact by driving data-driven decisions in a fast-paced environment.
- Qualifications: 10+ years in data analysis, strong SQL skills, and a passion for AI.
The predicted salary is between 70000 - 90000 € per year.
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.
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.
Associate Director - Data Analyst in London 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 inclusion. Located in a vibrant area, Moody's offers competitive benefits and a commitment to ethical practices, making it a rewarding place to advance your career in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director - Data Analyst in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data analytics. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, dashboards, or any data models you've worked on. This gives potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for those interviews by practising common questions and scenarios related to data analytics. Be ready to discuss how you've tackled challenges in the past and how you can apply your skills to their needs.
✨Apply Through Our Website
Make sure to apply directly 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 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Associate Director - Data Analyst role. Highlight your experience in business intelligence, analytics, and any relevant tools like Power BI or SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background aligns with our needs. Don’t forget to mention your interest in AI and how you can contribute to our team.
Showcase Your Achievements:When detailing your experience, focus on specific achievements rather than just duties. Use metrics where possible to demonstrate your impact in previous roles. We love seeing how you've made a difference!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at Moody
✨Know Your Data Inside Out
Make sure you brush up on your data modelling and SQL skills before the interview. Be ready to discuss how you've used these in past roles, especially in relation to business intelligence and analytics. This will show that you can translate complex data needs into actionable insights.
✨Showcase Your Stakeholder Management Skills
Prepare examples of how you've gathered requirements and managed stakeholders in previous projects. Highlight your ability to elicit business needs and translate them into user stories and acceptance criteria. This is crucial for the role, so make it a key part of your discussion.
✨Familiarise Yourself with AI Concepts
Since the role involves an understanding of AI tools, take some time to learn about how they can improve processes. Be ready to discuss any relevant experience you have with AI systems and express your enthusiasm for responsible AI practices. This will demonstrate your curiosity and willingness to learn.
✨Prepare for Technical Questions
Expect technical questions related to Power BI, Tableau, and data governance. Brush up on your knowledge of these tools and be prepared to discuss how you've used them in your work. Practising common SQL queries could also give you an edge during the interview.
