Data Analytics Manager

Posted 08 November 2023
Salary Negotiable
LocationCity of London
Discipline Change & Technology
Contact NameRory Curran

Job description

A leading Insurance firm is looking to hire a Data Analytics Manager to play a leading role in delivering a new Data Transformation project. The successful candidate will have strong data analysis and visualisation skills with additional working knowledge of data science and programming.


  • Leads the data analytics/visualisation capability of the business which will drive:
  • Design, maintain and update the key information used at the point of sale for underwriters (ultimately the underwriting dashboard).
  • Working with the the IT team and Data Engineer to make any required changes to the semantic/curated layers or data marts.
  • Working with IT to select the appropriate Artificial Intelligence tools to provide risk insight direct to the underwriter.
  • Design dashboards and visualisations bringing to life new analyses performed by the actuarial team and data scientists.
  • Data Analytics support to back office functions for decision-making (e.g. exposure management, finance, HR, claims).
  • Work with data scientists to research, identify, cleanse (in conjunction with the the IT team and Data Engineer), analyse, visualise and draw insights from external data sources.

Key Requirements:

  • Skills, knowledge and experience The successful candidate will have:
  • Strong management track record
  • Proven stakeholder management including engagement with technical experts and senior management
  • Expert in data analysis/visualisation techniques
  • Programming skills (Python an advantage)
  • Working knowledge of some data science techniques
  • 5+ years' data analysis/visualisation experience preferably in a Lloyd's environment
  • Highly proficient in required IT packages
  • Experience in a similar role supporting the development of data consumption use cases
  • Experience using Agile methodologies and proven ability to take complex requirements and break them down into epics and technical user stories an advantage
  • Experience working with Azure data technology stack such as Data Factory, SQL, Synapse Analytics, PowerBI an advantage