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: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with cross-functional teams and enhance your career in a supportive culture.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic 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.
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 employer: Job Search Place Limited
At Moody's, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge analytics tools in a dynamic environment. Located in a vibrant area, we offer a supportive atmosphere where your contributions directly impact our business success, making it a truly rewarding place to advance your career as an Associate Director - Data Analyst.
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! If you've worked on relevant projects, compile them into a neat presentation or online portfolio. This gives potential employers a tangible sense of what you can bring to the table.
✨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, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Associate Director - Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Associate Director - Data Analyst role. Highlight your 10+ years of experience in business intelligence and analytics, and don’t forget to mention your familiarity with tools like Power BI and SQL. We want to see how your skills match our needs!
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 mission at StudySmarter. Be sure to mention any relevant projects or experiences that showcase your stakeholder management skills.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills! Whether it’s your knowledge of data modelling or your experience with AI concepts, make sure to include specific examples. We love seeing how you’ve used these skills to drive efficiency in past roles.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Job Search Place Limited
✨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, and prepare to explain how you validate data quality and governance. This will show that you not only understand the technical side but can also apply it practically.
✨Master the User Story
Since translating business needs into user stories is key for this role, practice articulating how you've done this before. Think of specific examples where you gathered requirements from stakeholders and turned them into actionable tasks. This will demonstrate your stakeholder management skills and your ability to communicate effectively.
✨Familiarise Yourself with Tools
Get comfortable with the analytics tools mentioned in the job description, like Power BI and Tableau. If you can, create a sample report or dashboard to showcase during the interview. This hands-on experience will set you apart and show your enthusiasm for the role.
✨Show Your Curiosity About AI
The job mentions a basic understanding of AI concepts, so be prepared to discuss how AI can enhance data processes. Share any relevant experiences or projects where you've explored AI tools. This will highlight your willingness to learn and adapt, which is crucial for this position.
