MI Analyst

As Lockton’s continued investment in Data and MI the appetite for data is only increasing and is highly valued by senior management.As a result, we are looking to recruit the appropriate data individual to join the team.

First and foremost, the right candidate must fit in with Lockton’s culture. At Lockton we value the following principles:

• Client first
• Results and impact driven
• Self-motivated
• Continuous improvement

Role Responsibilities

• Partner with business stakeholders to gather, challenge, and translate reporting and analytics requirements.
• Extract, transform, analyse, and interpret data from multiple sources to support business decision-making.
• Design, develop, and maintain Power BI reports and semantic models.
• Write efficient, scalable SQL queries to support reporting.
• Deliver insights and recommendations that help stakeholders understand trends, performance, risks, and opportunities.
• Collaborate with technical and non-technical teams to promote a data-driven culture across the organisation.

Candidate Profile

We are seeking a proactive and analytical individual who enjoys solving complex data challenges and turning information into valuable business insight.

You will be comfortable working in a fast-paced environment where priorities can evolve quickly and will demonstrate the ability to manage multiple stakeholders and competing demands. A strong desire to learn, develop, and continuously improve is essential

Must have skills:

Power BI

• End-to-end development of Power BI solutions, including:
• Data ingestion and transformation (Power Query)
• Data modelling
• DAX development and optimisation

SQL & Data Analysis

• Strong SQL development skills, including query optimisation and troubleshooting.
• Solid understanding of relational database design and data modelling principles.
• Experience analysing large and complex datasets to identify trends and business opportunities.

Excel

• Advanced Excel skills, including:
• Power Query
• Power Pivot
• Complex formulas and modelling techniques

Preferred Skills:

• Experience working with Databricks in a modern data platform environment.
• Knowledge of dbt (Data Build Tool) for data transformation and modelling.
• Familiarity with cloud-based data platforms, particularly Microsoft Azure.
• Experience working with data engineering or ETL pipelines.
• Exposure to version control and collaborative development practices (e.g., Git/GitHub).
• Experience working within financial services, insurance, or other highly regulated industries.