Senior Investment Data Analyst

Role Overview

This role sits at the intersection of the Investment teams and the Technology Delivery in Enterprise Data & Integrations. As a Senior Investment Data Analyst, you will work across investment, business and technology teams to design and deliver valuable data features, support enterprise data change and transformation initiatives, and extract measurable value from investment data.

What You Will Do

Lead analysis projects that drive business impact through data, conduct comprehensive data analysis, profiling and reconciliation using SQL, Python and ETL or data-quality tools to support decisions, enhance data quality and resolve operational issues.

Why It Might Be a Fit

Strong fixed income and investment data knowledge, with practical understanding of how data supports portfolio management, trading, risk, performance and operations, proven track record leading analysis on large-scale data transformation, platform migration or investment data change initiatives.

Requirements

• Five or more years of experience in a data analyst, business data analyst or comparable role within asset management, investment management or financial services.
• Strong fixed income and investment data knowledge, with practical understanding of how data supports portfolio management, trading, risk, performance and operations.
• Proven track record leading analysis on large-scale data transformation, platform migration or investment data change initiatives.
• Demonstrated experience writing SQL and Python scripts for analysis, validation, reconciliation and automation.
• Experience with data warehouses or cloud platforms such as Snowflake, Databricks, Microsoft SQL Server.
• Proven ability to write high-quality requirements, process maps, data mappings, user stories and acceptance criteria.
• Experience with data quality, governance, metadata, lineage, controls, QA and UAT.
• Demonstrated experience with Power BI, Tableau or a similar reporting tool.
• Strong problem-solving, analytical and stakeholder-management skills.
• Initiative and the ability to design solutions and progress complex work with minimal supervision.
• Effective communication and time-management skills, with the ability to influence and engage stakeholders at all levels.
• A team player with a client-first mindset.

Benefits

• Hybrid working
• Generous Holiday policies
• Excellent Health and Wellbeing benefits including corporate membership to Wellhub
• Paid volunteer time
• Support to grow through professional development courses, tuition/qualification reimbursement
• Maternal/paternal leave benefits and family services
• All employee events including networking opportunities and social activities
• Lunch allowance for use within our subsidized onsite canteen

Tagged as: Data Analysis