At a Glance
- Tasks: Deliver high-quality data solutions and support in a dynamic, client-facing environment.
- Company: Join Moody's, a global leader in risk assessment and data solutions.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Exciting chance to work with AI tools and collaborate with diverse teams.
- Why this job: Make an impact by enhancing data quality and driving operational excellence.
- Qualifications: Experience in SQL, Python, and data quality management is essential.
The predicted salary is between 55000 - 65000 £ per year.
Deliver high-quality data remediation and operations support, ensuring accurate, timely, and scalable data solutions in a client-facing environment.
Act as a primary point of contact for data remediation issues, triaging, prioritizing, and resolving critical client-facing data incidents.
Execute remediation activities using SQL and Python to analyze, validate, and improve data quality across multiple datasets.
Monitor and enhance data quality by ensuring accuracy, completeness, and consistency through structured processes and controls.
Execute data workflows, pipelines, and integration processes to support efficient and reliable data operations.
Identify and implement opportunities for automation and process improvements to enhance operational efficiency.
Coordinate contractor resources, including task allocation, onboarding support, and quality oversight to ensure consistent delivery.
Track remediation activities, maintain documentation, and monitor progress against timelines, service levels, and operational targets.
Produce operational reporting on volumes, trends, risks, and performance metrics to support decision-making.
Collaborate with cross-functional teams to address root causes, improve remediation playbooks, and align with data strategy objectives.
Escalate complex or high-risk issues with structured insights and recommendations to support timely resolution.
About the Team
Our Data Estate team is responsible for delivering high-quality, trusted commercial data products to clients globally. The team contributes to Moody's by providing comprehensive and reliable data solutions that support critical business decisions, while driving data quality and operational excellence through scalable remediation and governance practices. It also enhances the accessibility and usability of data through efficient processing, integration, and analytics capabilities. By joining the team, you will be part of a fast-paced, client-focused environment, working on one of the world's leading company data platforms.
Qualifications
- Strong technical expertise in SQL and Python for data analysis, validation, and remediation, enabling accurate and scalable data operations.
- Proven experience in data quality management and remediation processes, ensuring completeness, consistency, and reliability of large datasets.
- Ability to operate in fast-paced, client-facing environments, managing competing priorities and delivering against tight deadlines and service level agreements.
- Experience coordinating cross-functional stakeholders and contractor resources to maintain operational continuity and quality output.
- Knowledge of data processing frameworks, including ETL pipelines, data integration, and data modeling (experience with Databricks or Spark preferred).
- Strong analytical and problem-solving skills with the ability to communicate clearly to both technical and non-technical stakeholders.
- 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.
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are - with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action - enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Assistant Director - Data Specialist in Manchester employer: Moody's Corporation
At Moody's, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Data Estate team is dedicated to delivering high-quality data solutions in a fast-paced, client-focused environment, providing ample opportunities for professional growth and development. With a commitment to inclusivity and the advancement of AI technologies, we empower our employees to thrive while making meaningful contributions to the world of risk assessment.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Director - Data Specialist in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at Moody's. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got experience with SQL and Python, don’t just mention it—bring it to life. Share examples of how you've used these tools to solve real problems in past roles.
✨Tip Number 3
Be proactive! If you see a data issue or a potential improvement in the application process, don’t hesitate to bring it up during interviews. It shows you're already thinking about how to add value.
✨Tip Number 4
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 being part of the Moody's team.
We think you need these skills to ace Assistant Director - Data Specialist in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with SQL, Python, and data quality management. We want to see how your skills align with the role of Assistant Director - Data Specialist!
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled data remediation issues in the past. We love seeing candidates who can demonstrate their analytical prowess and ability to communicate solutions effectively.
Highlight Your Teamwork Experience:Since this role involves coordinating with cross-functional teams, mention any relevant experiences where you’ve collaborated with others to achieve a common goal. We value teamwork and want to know how you contribute to a positive team environment.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Moody's Corporation
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially for data analysis and remediation. Practising some coding challenges can also help you feel more confident.
✨Understand Data Quality Management
Familiarise yourself with data quality management processes. Be prepared to talk about how you've ensured data completeness, consistency, and reliability in previous roles. Think of specific examples where you improved data quality and how you tackled any challenges.
✨Show Your Problem-Solving Skills
During the interview, highlight your analytical and problem-solving abilities. Prepare to discuss a time when you faced a complex data issue and how you resolved it. This will demonstrate your capability to handle critical client-facing data incidents effectively.
✨Communicate Clearly with Stakeholders
Since this role involves coordinating with cross-functional teams, practice explaining technical concepts in simple terms. Be ready to share experiences where you successfully communicated with both technical and non-technical stakeholders to drive projects forward.
