Senior Data Analyst
Role Overview
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.
Key Skills for This Role
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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