At a Glance
- Tasks: Enhance data quality and operations while collaborating with global teams on innovative data solutions.
- Company: Join Moody's, a leader in delivering mission-critical data across global markets.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on continuous improvement and data excellence.
- Why this job: Make an impact by transforming complex datasets into actionable insights for global clients.
- Qualifications: 1-3 years in data operations, strong SQL and Python skills, and a degree in a related field.
The predicted salary is between 40000 - 50000 € per year.
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.
Senior Data Specialist in Salford employer: PassFort
At Moody's, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within our Data Estate team. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge technologies in a global environment. Join us in delivering high-quality data solutions that empower decision-making across industries, all while enjoying a supportive atmosphere that values diversity and inclusion.
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 folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Specialist in Salford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data operations and management. Use keywords from the job description, like SQL proficiency and Python experience, to show we’re on the same page.
Showcase Your Skills:Don’t just list your skills; give examples of how you’ve used them in real projects. Whether it’s data quality frameworks or ETL processes, we want to see how you’ve made an impact.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re excited about the role and how your background aligns with our mission at StudySmarter. Keep it conversational but professional.
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 don’t miss any important updates from our team!
How to prepare for a job interview at PassFort
✨Know Your Data Tools
Make sure you brush up on your SQL skills, especially with PostgreSQL or MySQL. Be ready to discuss how you've used these tools in past projects, and maybe even prepare a few examples of how you've optimised data for reporting.
✨Showcase Your Python Skills
Since hands-on Python experience is key, be prepared to talk about your work with libraries like Pandas and NumPy. Think of specific instances where you've manipulated data or built scalable workflows, and be ready to explain your thought process.
✨Understand Data Architecture
Familiarise yourself with data architecture concepts and ETL processes. During the interview, demonstrate your understanding by discussing how you've implemented data quality frameworks or improved data integration in previous roles.
✨Communicate Clearly
You’ll need to translate complex data insights into actionable outputs, so practice explaining technical concepts in simple terms. Think about how you've collaborated with non-technical stakeholders in the past and be ready to share those experiences.
