Investments Data Analyst

Summary: The Investments Data Analyst role at Legal & General focuses on analyzing and transforming front office business requirements into effective data solutions. The position requires collaboration with various stakeholders to address data challenges and guide engineering teams in creating scalable and sustainable data designs. The analyst will also conduct assessments of existing datasets to identify areas for improvement and ensure data quality. This role is integral to delivering investment-specific data solutions that align with the firm's strategic goals.

Key Responsibilities:

• Gathering requirements from internal Investments stakeholders, Technology, and Business Change teams in the form of User Stories, Features, and Epics.
• Delivering analysis artifacts including user stories, data flows, service descriptions, and mapping specifications for development and testing.
• Collaborating with Data Operations and Marketplace teams to ensure designs are scalable, repeatable, and sustainable.
• Delivering investment-specific data solutions by clarifying business requirements and working with technology partners to build cost-effective solutions.
• Analyzing existing investments datasets to identify inefficiencies and designing a data migration plan for a scalable data model.
• Investigating data issues and collaborating with Data Stakeholders to understand problems and solutions.
• Developing data controls as part of user stories and maintaining up-to-date data documentation.
• Performing User Acceptance Testing sign-off for data deliverables and supporting users in executing UAT.

Key Skills:

• Understanding of the Asset Management Industry, financial products, technologies, and data domains.
• Knowledge of data governance concepts including data ownership and stewardship.
• Effective requirements gathering techniques.
• Experience in Data projects in the Asset Management Industry supporting front office functions.
• Ability to analyze and design data services, including writing SQL queries and using Swagger.
• Understanding of Data Quality dimensions and defining DQ rules and metrics.
• Experience working in an Agile, flexible, and collaborative team environment.
• Collaborative approach to working with portfolio managers, quants, developers, and subject matter experts.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Finance