Business/ Data Analyst (Insurtech) To £75K plus attractive bonus

About the Company – an exciting, unusual opportunity, which requires a strong aspirational and culture fit

MGA platform accelerator, USA funded and taking the UK market by storm. Building out a data centre of excellence, geared to offering P/C underwriters competitive data diagnostics to rate and price insurance risk, and optimise profitability

About the Role

Working in a small, growing team of specialists (underwriters, business and data analysts), you will work through a range of data analytics responsibilities including:

  • Scoping data requirements
  • Working with large data sets
  • Cleansing, structuring and formatting data
  • Modeling data
  • Visualising data
  • Developing a modern, competitive and AI led data analytics offering
  • Leveraging skills acquired in the use of python, SQL and Qlikview (or similar visualisation tool)

Non-negotiable requirements – The role requires that you are:

  • Eligible to work in the UK
  • Live in London
  • Open to hybrid work, with office based days specified
  • Are a good fit for a small, highly visible, and genuinely fast paced environment
  • Ideally have pre-exiting insurance (underwriting) experience or knowledge, OR you would like to develop you understanding of this sector
  • Are a strong communicator in eliciting requirements, documenting them and playing back to customers

Qualifications

  • A strong academic foundation (Honours degree level STEM, Data Analytics or similar)
  • ideally – acquired insurance (underwriting) experience – either via an Insurance Risk Management degree, CII accreditation or working experience within a general insurer, carrier, MGA, Lloyd’s.
  • Circa 4+ years related business data analysis experience, with a strong foundation in shaping data metrics and visualisations for financial or insurance sector customers
  • Excellent client facing communication skills, and ability to translate these into req docs as part of a full lifecycle analyst function

Required Skills

  • Strong capabilities in requirements elicitation and clarification (business analysis)
  • affinity for working with SQL, Excel, Python or R,
  • skills in the use of Data visualisation tools (Qlikview, Tableau or Power BI)
  • understanding of / experience in the insurance underwriting lifecycle, and key data metrics that support risk rating, pricing, performance metrics

Preferred Skills – Further experience in the use of Azure Data Factory would be highly favoured, but is not a core requirement.

Pay range and compensation package – Commensurate with experience, plus attractive bonus scheme and travel costs (London based)

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