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- Tasks: Lead data product development, create dashboards, and deliver analytical insights.
- Company: Join Moody’s, a leader in financial data and analytics.
- 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 relevant fields; 7+ years in data analytics required.
- Other info: Ideal for those passionate about data strategy and team leadership.
The predicted salary is between 43200 - 72000 £ per year.
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.
Assc Dir Mgr-Data Analytics employer: Moody's Investors Service
Contact Detail:
Moody's Investors Service 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 role requires you to stay ahead of the curve, so being knowledgeable about emerging technologies and methodologies will help you stand out during discussions.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who have experience in product management and stakeholder engagement. Attend industry events or webinars to connect with potential colleagues and learn from their experiences.
✨Tip Number 3
Prepare to discuss your leadership style and how you've successfully managed teams in the past. Highlight specific examples where you've fostered collaboration and driven performance, as this will be crucial for the role.
✨Tip Number 4
Be ready to showcase your analytical skills through real-world examples. Whether it's a project where you used advanced analytics techniques or a situation where you generated actionable insights, having these stories at the ready will demonstrate your capability.
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 the role. Mention your experience in developing data strategies and leading teams, and explain why you are excited about the opportunity to work with Moody’s Data & Analytics team.
Showcase Analytical Skills: Provide concrete examples of how you've used advanced analytics techniques in previous roles. Highlight any projects where you generated actionable insights or improved processes, as this will resonate well with the responsibilities outlined in the job description.
Prepare for Interviews: If selected for an interview, be ready to discuss your approach to product management and stakeholder engagement. Prepare to share your thoughts on current industry trends in data analytics and how you would contribute to the innovative environment at Moody’s.
How to prepare for a job interview at Moody's Investors Service
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in data analytics tools like Power BI, Tableau, and Python. Bring examples of dashboards or data models you've created, as this will demonstrate your hands-on experience and technical expertise.
✨Understand the Business Context
Research Moody's Data & Analytics team and understand their role in the financial and commercial domains. Be ready to discuss how your previous experiences align with their objectives and how you can contribute to enhancing business performance.
✨Demonstrate Leadership Qualities
Since the role involves managing and mentoring a team, prepare to share examples of how you've successfully led teams in the past. Highlight your interpersonal skills and how you've fostered a collaborative environment.
✨Prepare for Stakeholder Engagement Scenarios
Think of instances where you've built strong relationships with stakeholders. Be ready to discuss how you ensured alignment between data initiatives and business objectives, as this is crucial for the role.
