Data-Driven MI Analyst: SQL & Insights for Retail Annuities

Legal & General; Cardiff; On-site; GBP 42,000 - 62,000; Full time

Benefits offered by this job

Bonus plan and share schemes

Generous pension contribution

Life assurance

Healthcare plan

Job summary

Legal & General (L&G) seeks a Management Information Analyst to join our Retail Annuities team, turning complex data into actionable insights. This hands-on role collaborates with stakeholders to drive decisions across the business and deliver high-quality management information.

You’ll write SQL queries, build datasets, and translate requirements into data solutions, supporting pricing, sales, and operational decisions while improving reporting processes and data quality.

Qualifications

• Strong SQL skills and experience working with large datasets.
• Advanced Excel capabilities including pivot tables and lookups.
• Experience building datasets and transforming data; proven MI or reporting delivery.

Responsibilities

• Deliver high-quality management information to business stakeholders.
• Write SQL queries to extract and combine data from multiple sources.
• Build and maintain datasets from scratch.
• Translate stakeholder requirements into data solutions.
• Produce analysis to support pricing, sales, and operational decisions.
• Improve reporting processes and data quality.
• Work across teams to understand and solve data challenges.
• Support both BAU reporting and project-based work.

Skills

SQL

Advanced Excel

Data transformation

MI/Reporting

Stakeholder communication

Independent work

Tools

Snowflake

BI tools

Job description

Legal & General (L&G) seeks a Management Information Analyst to join our Retail Annuities team, turning complex data into actionable insights. This hands-on role collaborates with stakeholders to drive decisions across the business and deliver high-quality management information.

You’ll write SQL queries, build datasets, and translate requirements into data solutions, supporting pricing, sales, and operational decisions while improving reporting processes and data quality.