Data Analyst

Summary: The role of Data Analyst focuses on managing and analyzing Reference Data, particularly Market Data, to support business and data analysis initiatives. The position requires collaboration with cross-functional teams to enhance data quality and governance while providing insights for optimizing data processes. The analyst will act as a Subject Matter Expert, ensuring data accuracy and compliance with business objectives. Additionally, the role involves supporting global data transformation initiatives and improving operational efficiency through analytical skills.

Key Responsibilities:

• Manage and analyze Reference Data including Market Data for accuracy and consistency.
• Collaborate with cross-functional teams to support data governance and enhance data quality frameworks.
• Provide insights and recommendations for optimizing reference data processes and systems.
• Support global data transformation and remediation initiatives with best practices in Reference Data management.
• Align data strategies with business objectives and compliance requirements.
• Interpret complex data sets to support decision-making processes.
• Act as the Subject Matter Expert for Reference Data and Market Data.
• Lead efforts to maintain and improve the quality, integrity, and governance of Reference Data.
• Partner with business, technology, and data governance teams to define data requirements.
• Drive data remediation, standardization, and migration activities.
• Develop and maintain data quality controls and reporting frameworks.
• Support change management activities including user acceptance testing and training.
• Collaborate with enterprise architecture and data offices for compliance with standards.
• Provide analytical support for data lineage, usage, and dependencies.
• Facilitate process improvements for automation and accuracy in Reference Data handling.
• Manage stakeholder relationships across multiple geographies and teams.

Key Skills:

• Expertise in Reference Data and Market Data management.
• Strong analytical skills for interpreting complex data sets.
• Experience in data governance and quality frameworks.
• Ability to collaborate with cross-functional teams.
• Knowledge of data transformation and remediation best practices.
• Strong communication and stakeholder management skills.
• Experience with data quality controls and reporting mechanisms.
• Familiarity with regulatory compliance standards.
• Proficiency in change management and user acceptance testing.
• Ability to drive process improvements and automation.

Salary (Rate): undetermined

City: Edinburgh

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other