Data Management Analyst

Job description: Data Management Analyst

Tasks

• First level of data support for portfolio managers, researchers, traders, engineers and data scientists
• Design and lead the onboarding and migration of various financial and alternative data sets
• Design and creation of ETL pipelines using industry-standard technologies; definition and optimization of data models, schemas and workflows with engineering teams
• Monitor data quality and proactively identify and resolve data quality issues that may impact downstream users; promote data quality management with engineers
• Manage and enhance security master content and data quality mapping tools to ensure data accuracy and efficiency
• Monitoring of market data authorizations, improvement of usage recording, analysis of usage patterns and optimization of costs
• Curate and maintain a metadata set and knowledge base and facilitate any possible automation of daily tasks

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
• Experience with large data sets; proven ability to produce high quality analysis and demonstrate a strong analytical mindset and accountability for results
• Strong written and verbal communication skills

Advantageous requirements

• Working knowledge of data modeling, data lakehouse, Linux / Unix, SQL; 3+ years are 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 vendors and good understanding of market data structures
• Stakeholder management skills with proven ability to work effectively across different teams and seniority 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 engage with 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 interpersonal skills, able to build a close working relationship with quantitative researchers, technology, traders and senior business people
• Trustworthy communication; able to explain a point concisely and deal positively with conflicting views

We offer

• An inclusive working environment that promotes equal opportunities
• Opportunity to make a difference through our charitable and global initiatives while advancing your career through professional development