At a Glance
- Tasks: Support and enhance data quality, manage large datasets, and collaborate with global teams.
- Company: Moody's, a global leader in risk assessment and data solutions.
- Benefits: Inclusive culture, career growth, and opportunities to work with cutting-edge technology.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Join a team transforming data into actionable insights for global clients.
- Qualifications: 1–3 years in data operations, strong SQL and Python skills required.
The predicted salary is between 40000 - 50000 £ per year.
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.
Skills and Competencies
- 1–3 years’ experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets.
- Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use.
- Hands‑on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows.
- Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development.
- Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets.
- Strong communication and problem‑solving skills to collaborate across global teams and translate complex data insights into actionable outputs.
- Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies.
- Ability to communicate technical concepts clearly to non‑technical stakeholders.
Education
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
Responsibilities
- Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery.
- Develop and execute processes to monitor, manage, and improve data quality across datasets.
- Design and implement data deduplication frameworks to improve data accuracy and usability.
- Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency.
- Collaborate with cross‑functional teams (Sales, Product, Technology) to align data solutions with business needs.
- Support stakeholders by delivering data insights and responding to data‑related queries.
- Contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability.
- Maintain best practices in data governance, data modeling, and pipeline optimization.
About the Team
Our Data Estate team is responsible for delivering high‑quality, mission‑critical data that powers decision‑making across global markets. We provide comprehensive company data through flagship platforms such as Orbis, we enable clients to access, analyze, and act on complex datasets efficiently, and we drive continuous improvements in data quality, accessibility, and operational excellence. By joining our team, you will contribute to innovative data solutions supporting global customers across industries.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Senior Data Specialist in Salford employer: 慨正橡扯
At Moody's, we pride ourselves on fostering an inclusive and innovative work environment where every employee is empowered to contribute their unique perspectives. As a Senior Data Specialist, you will have the opportunity to work with cutting-edge technologies and collaborate with diverse teams, driving impactful data solutions that shape the future of risk assessment. With a strong commitment to employee growth and development, Moody's offers a dynamic workplace that values integrity, curiosity, and collaboration, making it an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Specialist in Salford
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Moody's on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to showcase how you've used these tools in real-world scenarios. We want to see your problem-solving skills in action!
✨Tip Number 3
Show off your communication skills! Practice explaining complex data concepts in simple terms. This will help you connect with non-technical stakeholders during the interview, which is key for this role.
✨Tip Number 4
Don't hesitate to apply through our website, even if you don't tick every box. We value diverse perspectives and are keen to see what unique experiences you can bring to the table!
We think you need these skills to ace Senior Data Specialist in Salford
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've tackled data challenges in the past and how you can bring that energy to our team at Moody's.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Senior Data Specialist role. Highlight your SQL and Python skills, and don’t forget to mention any experience with data platforms like Databricks or Snowflake. We want to see how you fit into our mission!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your experiences and skills, especially when discussing technical concepts. Remember, we value communication skills just as much as technical expertise!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at 慨正橡扯
✨Know Your Data 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 when it comes to handling large datasets and ensuring data quality.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Moody's values candidates who can translate data insights into actionable solutions, so think about specific instances where your analytical skills made a difference.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You'll likely need to communicate with non-technical stakeholders, so being able to break down complex ideas will show that you can bridge the gap between data and business needs.
✨Emphasise Collaboration
Be ready to discuss your experience working with cross-functional teams. Highlight how you've collaborated with different departments to align data solutions with business objectives, as this is crucial for success at Moody's.
