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: Collaborative culture focused on ethical AI practices and continuous learning.
- 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.
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 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 and development, Moody's offers comprehensive training opportunities in cutting-edge analytics tools and AI technologies, ensuring that team members are well-equipped to drive impactful decision-making. Located in a vibrant area, employees benefit from a supportive environment that values diversity and inclusion, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director - Data Analyst
✨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
When you get the chance to chat with potential employers, don’t hold back on showcasing your skills. Talk about your experience with SQL, Power BI, or any cool projects you've worked on. Let them see how you can add value!
✨Prepare for the Interview
Do your homework before the interview! Research the company, understand their data needs, and think about how your background fits in. Prepare some questions that show you're genuinely interested in their operations and challenges.
✨Apply Through Our Website
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 serious about 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 reflects the skills and experiences mentioned in the job description. Highlight your 10+ years of experience in business intelligence and analytics, and don’t forget to mention any specific tools like Salesforce or Power BI that you’ve worked with.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain how your background aligns with the role. Talk about your experience in stakeholder management and how you translate needs into user stories. Keep it engaging and personal!
Showcase Your Technical Skills:Since this role involves SQL and data modelling, make sure to include examples of your technical expertise. Mention any projects where you’ve validated SQL queries or worked on data governance to show you’re the right fit for the team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our awesome team at StudySmarter!
How to prepare for a job interview at 慨正橡扯
✨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 understanding AI tools, take some time to learn about how they can improve processes. Be ready to share your thoughts on responsible AI practices and how you’ve applied or would apply AI in your work. This shows your enthusiasm for learning and adapting.
✨Prepare for Technical Questions
Expect to be asked 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 reporting and analytics work. Demonstrating your technical expertise will set you apart.
