Data Analyst

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. Technical Skills 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.

Data Science / Predictive Modelling: Skilled in using techniques to model past data for future predictions and understanding drivers of trends and patterns (preferable). Non-Technical Skills 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. Experience in insurance or financial services (preferred). Prior experience working as part of a data team (preferred).

Benefits 12% defined non‑contributory pension scheme. Annual company bonus. Private medical insurance.

Option to buy up to an additional 20 days or sell some of your holiday. Working Hours & Salary This role is available on a part‑time, job‑share or full‑time basis. Salary: Circa £50‑£60k depending on experience plus an excellent benefits package. #J-18808-Ljbffr