Analyst
Job Description
We are looking for a strong self-starter with a genuine passion for data and a drive to produce results. The right candidate will thrive in a fast-paced environment, where priorities can shift quickly, and will demonstrate the self-motivation and intellectual curiosity needed to continuously learn and develop within a specialist, high-performing team.
\nAbove all, the successful candidate must embody Lockton's core principles:
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- Client first \n
- Results and impact driven \n
- Self-motivated \n
- Continuous improvement \n
Role Purpose
\nThe LPS Analyst will report to the LPS Data Lead, providing hands-on analytical and data support across LPS's monoline facilities and wider Lockton portfolio solutions initiatives. The primary focus of the role will be to:
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- Continue building and maintaining the data infrastructure underpinning Lockton Portfolio Solutions monoline facilities. \n
- Support opportunity scoping through the interrogation and modelling of premium and claims data. \n
- Support the Data Lead in the preparation of high-quality data packs and submissions for insurance markets. \n
- Build and maintain reporting and dashboards to monitor the performance of LPS facilities. \n
- Provide analytical support across a range of LPS strategic initiatives. \n
Key Responsibilities
\nMonoline Facilities – Data & Analytics
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- Extract, interrogate and analyse data to support the Portfolio solutions Lead in internal scoping discussions with relevant stakeholders, using BI and analytics to identify opportunities and support the PS Lead. \n
- Produce Meaningful BI and reporting to assess the profitability and scope of monoline facility opportunities. \n
- Continue to develop and build on the data infrastructure for the monoline facility initiative \n
Market Submissions & Engagement
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- Work with Data Lead to produce professional data packs for submission to market in Excel, PowerPoint and PDF, including a range of analytical exhibits. \n
- Respond to ad-hoc data requests from markets in a timely and accurate manner. \n
- Support data lead on maintaining robust reporting on key facility metrics, ideally delivered via interactive dashboards, including: \n
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- Indexation: percentage of in-scope business placed versus not placed. \n
- Premium and claims performance by team and risk code. \n
- Aggregate accumulations versus limits and modelled loss estimates versus limits (using RMS / AIR outputs). \n
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- Ensure reporting remains current and reliable as facilities grow and data sources evolve. \n
Must-Have Skills & Experience
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- End-to-end development of Power BI reports, including ETL, data modelling, DAX expression writing and report creation. \n
- Proficiency in SQL development and good practices in query writing and optimisation. \n
- Good understanding of relational databases and data architecture. \n
- Advanced Excel, including Power Query and Power Pivot. \n
- Strong analytical and problem-solving skills with the ability to translate complex data into clear insights. \n
- Strong communication skills — able to present findings to both technical and non-technical audiences. \n
Desirable Skills & Experience
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- Experience working in the insurance or financial services sector. \n
- Familiarity with London Market data processes, including BDX, Xchanging or Vipr. \n
- Experience working with large, multi-source datasets and building data pipelines. \n
- Knowledge of Python for data analysis and automation. \n
- Experience building automated reporting solutions or data workflows. \n
- Hands-on experience using Databricks for analytics and reporting workflows \n
