> Markdown version of [/jobs/ext/3945069-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/3945069-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** Zurich Insurance - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £50,000.0 - £60,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Analysis, Big Data, Data Transformation, Data Retention, Data Visualization, Python (Programming Language), Pivot Tables, Power BI, Standard Sql, SQL Databases, Unstructured Data, Data Processing, Sql Optimization, Office365, Snowflake - **Published:** October 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=68d24af087ec586d ## About the Role We prefer candidates with a degree, apprenticeship, or diploma in a numerical discipline such as Mathematics, Statistics, or Data Science. Experience in coding, particularly with SQL and Python, is essential, though other languages are also welcome., * Advanced experience with Power BI: Creating and publishing dashboards, data transformation, visual conformity, and DAX formulas. * Advanced Excel skills: Proficiency with functions including Lookups, Index, Match, Pivot Tables, and visualisations. * Advanced SQL expertise: Proficient in reading and writing SQL code. * Experience handling unstructured data: Capable of processing, conforming, and presenting large datasets (1M+ rows). * Proficiency with the Microsoft O365 suite. * Snowflake experience: Proficient in managing and manipulating data with Snowflake (and/or SQL) and connecting Datasets to Power BI dashboards. * Strong data analysis skills: Ability to understand, visualise, and trend large datasets to formulate evidence-based hypotheses and communicate findings to stakeholders. Preferable: * Data Science/Predictive Modelling: Skilled in using techniques to model past data for future predictions and understanding drivers of trends and patterns. Non-Technical Skills: Must-Have: * Proven experience interacting directly with stakeholders. * Ability to work collaboratively within a team to deliver projects. * Comfort engaging with stakeholders at all levels. * Adherence to agreed time-frames, whether internal or regulatory. * Understanding of data regulations such as PII, GDPR, and Data Retention. * Ability to present data and communicate complex technical concepts clearly to non-technical audiences. Preferred: * Experience in insurance or financial services. * Prior experience working as part of a data team. As an inclusive employer we want to ensure that all candidates feel comfortable and are able to perform at their best during the interview. You'll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply.