Data Management Analyst

Job description: Data Management Analyst

Tasks

• First level of data support for portfolio managers, researchers, traders, engineers and data scientists across the organization
• Management of the onboarding and migration of various financial and alternative data sets
• Design and build ETL pipelines using industry-standard and proprietary technologies; define and optimize data models, schemas and workflows with engineering teams
• Performance monitoring and data quality: resolving issues impacting downstream users, promoting data quality management with engineers
• Administration of data management permissions, improvement of usage standards, analysis of usage patterns and optimization of data costs
• Curate and maintain a metadata catalog and knowledge base and promote automation of daily tasks
• Ownership and improvement of security master tools and data stewardship tools to ensure data accuracy and consistency

Requirements

Essential requirements

• Experience with data ingestion, management and analysis, preferably in the financial industry
• Strong knowledge of Python and SQL
• Expertise in ETL tools and technologies
• Knowledge or experience with distributed and parallelized code to create high-quality analyses and deliver results
• Strong written and verbal communication skills

Additional requirements

• Working knowledge of data modeling, data lakehouse, Linux/UNIX, SQL (3+ years preferred)
• Familiarity with one or more relevant database technologies, e.g. Apache Kafka, PostgreSQL, Snowflake etc.
• Experience with large and unstructured data sets
• Practical experience with financial data standards and understanding of market data structures
• Data management skills with proven ability to work effectively across different teams and hierarchical levels

Personal characteristics

• Strong academic background and university degree with high mathematical and computational content, e.g. computer science, mathematics, finance
• Hands-on attitude, willing to get involved in data projects across the organization
• Self-organized with the ability to manage time effectively across multiple projects and with competing business needs and priorities
• Strong commercial skills, able to build and maintain close relationships with quantitative researchers, technologists, traders and senior business people
• Confident communicator, able to argue a point precisely and deal positively with conflicting views

We offer

• A working environment that promotes equal opportunities