At a Glance
- Tasks: Lead data reporting and analytics projects, translating business needs into actionable insights.
- Company: Join Moody's, a leader in data management and analytics with a commitment to diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative team focused on customer operations and risk management.
- Why this job: Make an impact by driving data-driven decisions in a dynamic team environment.
- Qualifications: 10+ years in data analysis, strong SQL skills, and experience with BI tools like Power BI.
The predicted salary is between 60000 - 80000 £ 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.
Associate Director - Data Analyst in London employer: 慨正橡扯
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 an ideal place for those seeking meaningful and rewarding employment.
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 common interview questions but also be ready to discuss specific scenarios from your past work. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Apply Through Our Website
When you find a role that excites you, 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 genuinely interested in joining our 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 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:Use your cover letter to tell us why you’re the perfect fit for the Associate Director - Data Analyst role. Share specific examples of how you've translated business needs into user stories and acceptance criteria in your previous roles.
Showcase Your Technical Skills:Don’t shy away from showcasing your technical prowess! Mention your familiarity with SQL, data modelling, and any experience with AI concepts. We love seeing candidates who are eager to learn and grow in these areas.
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 慨正橡扯
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data modelling, data warehousing, and SQL. Be prepared to discuss how you've used these skills in past roles, especially in relation to business intelligence and analytics. Practising some common SQL queries can also help you feel more confident.
✨Master the User Story
Since translating needs into user stories is key for this role, think about examples from your experience where you've successfully gathered requirements and created clear user stories. Be ready to explain your process and how it led to successful outcomes.
✨Familiarise Yourself with Tools
Get comfortable with the analytics tools mentioned in the job description, like Power BI and Tableau. If you have any experience with Salesforce or Alteryx, be sure to highlight that too. You might even want to prepare a mini demo or case study to showcase your skills.
✨Show Your Curiosity About AI
This role values a basic understanding of AI concepts, so come prepared to discuss how AI can improve processes. Share any personal projects or learning experiences related to AI, and express your enthusiasm for responsible AI practices and risk management.
