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Data Analyst

  • Location:

    London

  • Sector:

    Business Intelligence, Data and Analytics

  • Job type:

    Permanent

  • Job functions:

    Python, Power Bi, Microsoft Azure, Bi Analyst, Analyst, Developer, Business Analyst, Data Analyst

  • Salary:

    £40000 - £50000 per annum

  • Contact:

    William Sutton

  • Contact email:

    william.sutton@lafosse.com

  • Job ref:

    72183_1641488204

  • Published:

    10 days ago

  • Expiry date:

    2022-02-17

  • Startdate:

    ASAP

Purpose of the job:

Working within the Portfolio Underwriting team to focus on the build and enhancement of data driven products that support the provision of value-adding analytics and insight in respect of pricing, risk selection and portfolio management of insurance products.

Principal Accountabilities:

Portfolio Underwriting Data tooling

  • To support Portfolio Underwriting in using our data infrastructure as efficiently as possible
  • To develop and maintain the core Portfolio Underwriting data sets underlying the suite of analytical tools used by the Portfolio Underwriting team
  • To investigate and lead resolution of emerging issues with underlying Portfolio Underwriting data systems and models as and when these arise
  • To ensure all Portfolio Underwriting data systems and models are documented in line with company wide standards

Data Ingestion

  • To investigate opportunities to extract data from non-standard sources (e.g. external, unstructured) as required in order to enhance pricing and portfolio management decisions for the business
  • To integrate new data sources into our data library including structuring and validation.

Data Visualisation

  • To support development of data visualisation initiatives including design, build and maintenance ensuring they meet business requirements and user needs.

Development

  • Identify opportunities to use data science/engineering techniques to extract value from internal/external data assets in order to enrich analytical capabilities

Other

  • Recommend ways to improve data efficiency and reliability
  • Increase the degree of automation within the Portfolio Underwriting team's data systems and tools
  • To investigate new tools that would help the Portfolio Underwriting team store, structure and analyse data.

Education, Qualification, Knowledge, Skills and Experience

We are looking for candidates with:

  • Experience using languages such as Python and SQL to analyse datasets
  • Experience building dashboards in a modern BI tool such as Power BI, Looker, Tableau
  • Understanding of statistical techniques (such as regression, clustering, correlation analysis)
  • Experience working in cloud native environments (especially GCP) would be plus
  • The ability to design, implement and use data structures to ensure data is organised effectively and easily consumable by a broader audience
  • Self-organised, good at documenting and communicating findings and approach
  • Excellent communicator, able to present findings to both a technical and non-technical audience
  • Experience of working in the London and Lloyd's insurance markets is desirable but not compulsory