Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data product development, create dashboards, and deliver analytical insights.
- Company: Moody's Corporation is a leader in financial analytics and data solutions.
- Benefits: Enjoy a collaborative environment, leadership opportunities, and innovative projects.
- Why this job: Make impactful contributions while working with cross-functional teams in an innovative setting.
- Qualifications: Bachelor's degree in a related field; 7+ years in data analytics required.
- Other info: Ideal for those passionate about data strategy and team leadership.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Assc Dir Mgr-Data Analytics role at Moody\’s Corporation
Join to apply for the Assc Dir Mgr-Data Analytics role at Moody\’s Corporation
The Moody’s Data & Analytics team is responsible for managing a single source of data across financial and commercial domains to facilitate analysis and strategic insight. In Addition to the provision of sanctioned data, D&A also directly meets the analytical needs of users through the provision of dashboards, analytical consulting and genAI optimized data models.
As part of the Team, you will play a crucial role in developing data models, creating impactful dashboards, and delivering analytical insights. You will work closely with the senior leadership team, finance teams, central strategy, and segment commercial strategy teams.
Why You\’ll Love This Role:
- Innovative Environment: Combine product management, stakeholder engagement, and idea incubation to deliver cutting-edge data solutions.
- Impactful Contributions: Collaborate with cross-functional teams to enhance business performance and decision-making.
- Leadership Opportunities: Manage and mentor a talented team of data analysts.
Key Responsibilities:
- Product Management: Lead the development and launch of data products that meet business needs and deliver value. Contribute to the product vision and roadmap.
- Stakeholder Management: Build strong relationships with key stakeholders, ensuring alignment between data initiatives and business objectives.
- Data Strategy: Develop and implement a data strategy that supports organizational goals, ensuring data governance and quality standards are met.
- Team Leadership: Foster a collaborative and high-performance culture within your team.
- Analytics and Insights: Understand new analytical needs, generate actionable insights, and present findings compellingly.
- Continuous Improvement: Stay informed of industry trends and continuously seek opportunities to improve processes, tools, and methodologies.
Qualifications:
- Education: Bachelor\’s degree in Data Science, Computer Science, Statistics, Business Administration, or a related field. A Master\’s degree or relevant certification is preferred.
- Experience: Minimum of 7 years in data and analytics or a related discipline, with proven experience in product and stakeholder management.
- Technical Skills: Proficiency in data analytics tools (Power BI, Databricks, Tableau, Python, R, Fabric, Excel), and strong understanding of data architecture, governance, and quality principles.
- Leadership Skills: Demonstrated ability to lead and inspire a team, with excellent interpersonal and communication skills.
- Analytical Skills: Strong analytical and problem-solving abilities, with experience in advanced analytics techniques such as machine learning and predictive modeling.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
Referrals increase your chances of interviewing at Moody\’s Corporation by 2x
Sign in to set job alerts for “Data Manager” roles.
Head of Data Management – Market Data – up to £160,000 Salary
Bolton, England, United Kingdom 1 day ago
London, England, United Kingdom 2 weeks ago
High Wycombe, England, United Kingdom £80,000.00-£80,000.00 3 weeks ago
Data Sharing Manager (1 role available) BOLD Programme, Data Directorate, Ministry of Justice (Ref: 7872)
London, England, United Kingdom 6 days ago
Reading, England, United Kingdom 1 day ago
Wallingford, England, United Kingdom 4 days ago
Bracknell, England, United Kingdom 3 weeks ago
Greater Bristol Area, United Kingdom 3 weeks ago
Birmingham, England, United Kingdom 4 hours ago
Milton Keynes, England, United Kingdom 4 weeks ago
Milton Keynes, England, United Kingdom 3 weeks ago
London, England, United Kingdom 5 days ago
Chester, England, United Kingdom 1 week ago
Manchester Area, United Kingdom 3 weeks ago
Data Manager (Careers & Student Success)
London, England, United Kingdom 4 days ago
Senior Director Data Management Services
Reading, England, United Kingdom 4 days ago
Greater London, England, United Kingdom 2 weeks ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Assc Dir Mgr-Data Analytics employer: Moody's Corporation
Contact Detail:
Moody's Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assc Dir Mgr-Data Analytics
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and product management. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who have experience in leadership roles. They can provide valuable insights and may even refer you to opportunities within their organisations.
✨Tip Number 3
Showcase your technical skills by working on personal projects or contributing to open-source initiatives. This demonstrates your proficiency in tools like Power BI, Tableau, and Python, which are crucial for the role.
✨Tip Number 4
Prepare to discuss your experience in stakeholder management and team leadership. Be ready to share specific examples of how you've successfully led teams and managed projects that align with business objectives.
We think you need these skills to ace Assc Dir Mgr-Data Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, product management, and stakeholder engagement. Use specific examples that demonstrate your leadership skills and technical proficiency with tools like Power BI and Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how your background aligns with Moody's mission. Mention your experience in developing data strategies and leading teams, and explain how you can contribute to their innovative environment.
Showcase Analytical Skills: Provide concrete examples of how you've used advanced analytics techniques, such as machine learning or predictive modelling, to drive business decisions. This will demonstrate your analytical prowess and problem-solving abilities.
Highlight Team Leadership Experience: Emphasise any previous roles where you managed or mentored a team. Discuss how you fostered a collaborative culture and achieved high performance, as this is crucial for the role at Moody's.
How to prepare for a job interview at Moody's Corporation
✨Understand the Role
Make sure you thoroughly understand the responsibilities of the Associate Director Manager - Data Analytics role. Familiarise yourself with product management, stakeholder engagement, and data strategy to demonstrate your knowledge during the interview.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in data analytics tools like Power BI, Tableau, and Python. Highlight specific projects where you've successfully used these tools to deliver insights or improve processes.
✨Prepare for Leadership Questions
Since this role involves managing a team, expect questions about your leadership style and experience. Think of examples where you've inspired or mentored team members, and be ready to discuss how you foster a collaborative culture.
✨Demonstrate Analytical Thinking
Prepare to showcase your analytical skills by discussing past experiences where you've solved complex problems using advanced analytics techniques. Be ready to explain your thought process and the impact of your findings on business decisions.
