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Pension Operations Data Analyst
4 months ago
Job Title: Data Operations Analyst
Global Asset Manager
Location: City of London, 3 days per week in office
Join a prestigious global asset manager with over $200 billion in assets under management. Based in the heart of London's financial district, you'll be part of a dynamic team shaping the future of financial data operations.
As a Data Operations Analyst, you will play a pivotal role in implementing a cutting-edge global platform aimed at centralizing data management processes. Leveraging your expertise in R, Python, SQL, and Enterprise Data Management (EDM), you'll contribute to streamlining data workflows and optimizing data quality across the organization.
Collaborate with cross-functional teams to understand data requirements and design scalable solutions.
Develop and maintain data pipelines using R, Python, and SQL to automate data processing tasks.
Utilize EDM tools and techniques to ensure data integrity, standardization, and compliance.
Perform data analysis and visualization to derive actionable insights for stakeholders.
Contribute to the integration of data from multiple sources into the new global platform.
Participate in testing, debugging, and documentation of data processes and workflows.
Proficiency in R, Python, and SQL for data manipulation and analysis.
Experience with Enterprise Data Management (EDM) tools and concepts.
Strong understanding of data modeling, ETL processes, and data quality management.
Familiarity with financial services or asset management industry preferred.
Competitive salary of £85,000 per annum.
Comprehensive benefits package including healthcare and pension contributions.
Flexible working arrangements with 3 days per week in our City of London office.
Professional development opportunities and career growth within a global organization.
If you are passionate about data operations and eager to contribute to a transformative project within the asset management industry, we want to hear from you We look forward to welcoming you to our dynamic team dedicated to shaping the future of financial data operations.