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Data Analyst

Data Analyst

  • Location

    London

  • Sector:

    Data and Analytics

  • Job type:

    Permanent

  • Salary:

    £40000 - £45000 per annum

  • Contact:

    Josh Jennings

  • Contact email:

    j.jennings@panoramicassociates.co.uk

  • Job ref:

    BBBH58363_1615559785

  • Published:

    about 3 years ago

Job Summary


The primary role of Data Analyst is to support our analytics and consulting proposition through comprehensive requirements analysis; detailed and accurate preparation of varying data; identification, analysis and interpretation of patterns in complex datasets and creation of compelling, creative and informative visualisation that supports decision-making for our clients and stakeholders.

Working alongside our analytics, consulting and reporting specialists within the team, the Data Analyst plays a critical role in our evolving eco-system.

Key Responsibilites

  • Build, develop, and maintain a suite of dashboards for use by clients and internal stakeholders globally
  • Support the wellbeing programme and whitepaper research with analytical expertise and visualisation
  • Creat charts, infographics, reporting and presentation materials to enable effective communication of analytics and insight
  • Comprehensive requirements analysis
  • Identify, analyse, and interpret trends or patterns in complex data sets and translating ideas into visualisations
  • Fully document processes, models, calculation specifications, and tools
  • Build efficient and reliable rules to validate, format, and transform data

Key requirements

  • Previous success in a data-driven role with demonstrable ability in using Excel and/or business intelligence
  • Proficiency in a standard data visualisation tool (e.g. Power BI, Tableau)
  • SQL
  • Solid foundational understanding of:
    • Relational databases
    • Data quality dimensions
  • Able to articulate complex ideas, debate them and agree them as part of a team
  • Experience working within the London Insurance market
  • Experience of the following would be highly advantageous:
    • R
    • Power Query (M)
    • Data Analysis Expressions (DAX)

Please apply today to find out more