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indeed

Senior Data Analyst

Zurich Insurance
London, GBR
Parttime, Fulltime
Onsite
£50,000–£60,000 per year
Discovered Today
Data analysisPower BIDAXExcelSQLPython

Full Job Posting

Opportunity

Join the team as a Senior Data Analyst and transform data into actionable insights.

The role analyses historical datasets, works with stakeholders on portfolios, presents trends and applies analytical techniques to business challenges.

Working arrangement

  • The role can be full-time, part-time or job-share.
  • Work from the London office twice a week and from home on other days.
  • The employer discusses flexible hours and other flexibility needs during the interview.

Salary

  • Salary is approximately £50,000–£60,000 per year, depending on experience, plus benefits.

Key work

  • Analyse large historical datasets, understand portfolios with stakeholders and present trends at regular meetings.
  • Design predictive models, solve business challenges with analytical techniques and improve data quality.
  • Enhance data science capabilities and work on integrating AI into data analysis.
  • Build and publish Power BI dashboards, transform data and use DAX and advanced Excel.
  • Process, visualise and present large unstructured datasets and communicate findings clearly.

Education and experience

  • Coding experience, particularly with SQL and Python, is essential; other programming languages are welcome.
  • A degree, apprenticeship or diploma in a numerical discipline such as Mathematics, Statistics or Data Science is preferred.

Technical skills

  • Advanced Power BI dashboard creation and publishing, data transformation, visual conformity and DAX are required.
  • Advanced Excel, including Lookups, Index, Match, Pivot Tables and visualisations, is required.
  • Advanced SQL reading and writing skills are required.
  • Experience processing, conforming and presenting datasets of over one million rows is required.
  • Microsoft O365 proficiency and Snowflake experience are required; the description also references Snowflake and/or SQL for data manipulation and Power BI connections.
  • Predictive modelling and data science techniques are preferable.

Non-technical qualifications

  • Direct stakeholder experience, teamwork, engagement at all levels and adherence to agreed timeframes are required.
  • Knowledge of PII, GDPR and data retention, and clear communication of technical concepts to non-technical audiences, are required.
  • Insurance or financial services experience and previous work as part of a data team are preferred.

Benefits

  • Benefits include a 12% defined non-contributory pension, annual company bonus, private medical insurance and options to buy or sell holiday.

About Zurich

Zurich describes itself as a global insurer with more than 55,000 employees in over 170 countries.

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