Assistant Director - Data Specialist

慨正橡扯; Salford; On-site; GBP 35,000 - 55,000; Full time

Job summary

慨正橡扯 is seeking a Data Remediation Support professional in Salford, UK. This role involves delivering high-quality data operations support, acting as a primary contact for data remediation issues, and executing activities using SQL and Python.

The ideal candidate will have a Bachelor’s degree in a relevant field and demonstrate strong analytical skills in a fast-paced, client-facing environment. Join our Data Estate team to contribute to reliable data solutions globally.

Responsibilities

• Deliver high‑quality data remediation and operations support.
• Act as a primary point of contact for data remediation issues.
• Execute remediation activities using SQL and Python.
• Monitor and enhance data quality through structured processes.
• Identify and implement opportunities for automation.
• Coordinate contractor resources for consistent delivery.
• Track remediation activities and monitor progress.
• Produce operational reporting to support decision‑making.
• Collaborate with cross‑functional teams to address root causes.
• Escalate complex issues with structured insights.

Skills

SQL

Python

Data quality management

Data processing frameworks

ETL pipelines

Analytical skills

Problem-solving

Artificial intelligence concepts

Education

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field

Job description

Skills and Competencies

• 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

Education

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field

Responsibilities

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.

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.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.