Asset Management Data Analyst — AI & Dashboards

UST; Greater London; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

UST is seeking an experienced Business Analyst in London with deep expertise in Asset Management to drive data-analytics initiatives and operational efficiency. The role focuses on gathering requirements, translating them into functional specs, and delivering dashboards and KPI reporting for business stakeholders.

You will work closely with data engineering and technology teams, leveraging Power BI/Tableau and Snowflake, while applying GenAI tools to enhance analysis, documentation, and

Qualifications

• Minimum 5 years of experience as a Business Analyst.
• Strong understanding of Asset Management processes and data.
• Experience with data analysis, reporting, and dashboard development.
• Exposure to data warehousing, ETL/ELT concepts and analytics reporting.
• Familiarity with AI-enabled tools and GenAI workflows.

Responsibilities

• Collaborate with stakeholders to gather and document requirements.
• Translate needs into functional specs, user stories, and processes.
• Perform data analysis to identify trends and opportunities.
• Develop and maintain dashboards and KPI reports for leadership.
• Support data engineering and technology teams in analytics initiatives.
• Validate data and support UAT activities.
• Facilitate workshops and requirement reviews.

Skills

Business analysis

Asset management knowledge

Data analysis

Dashboard development

Agile/Scrum

Tools

Power BI

Tableau

Snowflake

Python

Cortex Code/Microsoft Copilot/ChatGPT

Job description

UST is seeking an experienced Business Analyst in London with deep expertise in Asset Management to drive data-analytics initiatives and operational efficiency. The role focuses on gathering requirements, translating them into functional specs, and delivering dashboards and KPI reporting for business stakeholders.

You will work closely with data engineering and technology teams, leveraging Power BI/Tableau and Snowflake, while applying GenAI tools to enhance analysis, documentation, and