Data Management Analyst

Job description

About the job

As a Data Management Analyst, you will use your technical and business skills to onboard and support data that is providing support and delivering high-quality data analysis and quality assurance.

Tasks

• Provide first-line data support to portfolio managers, researchers, traders, engineers, and data scientists across the firm.
• Lead on the onboarding and integration of various financial and alternative datasets.
• Design and build ETL pipelines using industry-standard technologies; define and optimize data models, schemas, and workflows with engineering teams.
• Proactively monitor and pre-emptively assess data quality issues before they impact downstream users; drive data quality management with engineering.
• Own and enhance security master content and data management tools, ensuring data accuracy and data integrity.
• Manage metadata management permissions, improve usage transparency, analyze usage patterns, and optimize cost.
• Curate and maintain a metadata catalog and knowledge base, and drive any possible automation of daily tasks.

Requirements

Essential requirements

• Experience with data ingestion, management and analysis; preferably in financial industry.
• Strong proficiency in Python and SQL.
• Expertise in ETL, tools and technologies.
• Understanding of data governance and data lineage.
• Strong analytical mindset and accountability for research.
• Strong written and verbal communication skills.

Advantageous requirements

• Working knowledge of data modeling; data warehouse; Linux / Unix; SQL. 3 yrs is preferable.
• Familiarity with one or more relevant database technologies; e.g. Apache kudu, PostgresQL, Snowflake, etc.
• Experience working with large and unstructured datasets.
• Hands on experience building financial data warehouse and understanding of market data structures.
• Data governance management skills with proven ability to work effectively across different teams and seniority levels internally and externally.

Personal characteristics

• Strong academic record and higher education degree with high mathematical and computing content; e.g. computer science; mathematics; finance.
• Hands-on attitude - willing to get involved with data projects across the firm.
• Self-organized with the ability to effectively manage time across multiple projects and with competing business demands and priorities.
• A strong numeracy skill, able to establish and maintain a close working relationship with quantitative researchers, technologists; traders and senior business people alike.
• Confident communication; able to argue a point concisely and deal positively with conflicting views.

We offer

You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will enhance our diverse and inclusive culture. Through professional development; wellbeing; and benefits; you'll have opportunities to make a difference through our charitable and global initiatives; while advancing your career through professional development and travel.

• Comprehensive benefits package includes complimentary access to wellbeing services; gym membership; life and long-term disability coverage; group critical illness; enhanced pension; and long-term care services.
• Depending on your location; you may also enjoy additional benefits such as private medical coverage; discounted gym membership options and more.
• Two annual 'Wellbeing Days' of paid leave and support for community volunteering.