Data Analyst - Europe at Hiscox

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Business Requirements Analysis, Data Quality Validation, Data Modelling, Data Mapping, SQL, Power BI, DAX, Data Visualisation, Azure, Databricks, Functional Analysis, Communication, Stakeholder Management, Data Engineering Collaboration

Industry

Insurance

Description

Job Type: Permanent Build a brilliant future with Hiscox About Hiscox Hiscox is an international insurer specializing in luxury goods & property markets, as well as high-end professional insurance. As experts in risk, we empower individuals and businesses to achieve their ambitions. With offices in 9 European countries, we boast a highly international workforce, fostering a culture of inclusion, collaboration, and personal and professional growth. About the Hiscox Data Team The Europe Data Team is a cross‑country, multidisciplinary group responsible for driving and enabling Hiscox Europe’s data capabilities. We combine expertise in Data Engineering, Data Analysis, and Data Management to deliver high‑quality data pipelines, insightful reporting, and strong governance frameworks, working closely with business teams across Europe. Our mission is to ensure trusted, consistent, and accessible data that empowers smarter decision‑making and supports the evolution of our enterprise Hiscox Data Strategy. The Role The Data Analyst for the Europe Data Team analyses business requirements and available data across our European analytics platform, which uses Microsoft Azure and Databricks. This role clarifies business needs, identifies improvements, and helps guide the platform's development in line with the Hiscox Data Strategy. Working with technical teams, the Data Analyst defines solutions to deliver reliable, accurate insights for functions such as Sales, Underwriting, and Finance, using tools like Power BI and collaborating with diverse stakeholders. With ongoing data transformation in Europe, this position offers the chance to shape strategic outcomes while supporting daily operations and existing commitments. Key Responsibilities Business & Data Analysis Analyse and document business requirements to support reporting and analytical needs; Perform data analysis and discovery across multiple sources to validate data quality, identify gaps, and support decision‑making; Extract and prepare data to support ad‑hoc business requests; Monitor analytical platform outputs to ensure accuracy, consistency, and alignment with business expectations. Data Modelling & Mapping Support data modelling and mapping activities, ensuring business rules are correctly defined and implemented; Analyse data from various systems to support the mapping processes feeding the European Data Platform. Collaboration & Solution Design Work closely with data engineers and business stakeholders to translate and align functional requirements into effective technical solutions; Contribute to the continuous improvement of data processes, standards, and platform evolution. Reporting & Visualisation (Power BI) Design, develop, and maintain Power BI dashboards and reports that deliver actionable insights to stakeholders; Build and manage data models, relationships, and calculations within Power BI; Apply best practices in data visualisation to create clear, impactful dashboards; Stay current with new Power BI features and industry trends to continuously improve reporting capabilities. Skills Technical Skills Good understanding of data mappings and business intelligence concepts; Knowledge of data modelling techniques (star schema); Experience in SQL for querying and manipulating data; Hands‑on experience with Power BI, including report creation, data modelling, and DAX. Functional Skills Ability to understand business needs and translate them into technical requirements; Strong communication skills, able to explain insights to non‑technical stakeholders; Experience in Business Intelligence or Data & Analytics roles (3+ years); Experience in functional analysis, ideally within the insurance industry. Education & Languages Bachelor’s or master’s degree in Management, Computer Science, Mathematics, Economics, or a related field; Fluent in English, both spoken and written. Person Specification Self‑motivated and able to work independently while contributing effectively to a team; Positive attitude with a strong interest in creating value from data; Able to communicate ideas clearly to both technical and non‑technical audiences; Skilled at translating business needs into practical technical solutions; Strong relationship‑building skills with end users; Comfortable working in environments with ambiguity and change; Flexible, adaptable, and resilient. Work with amazing people and be part of a unique culture If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us. If this is your first time visiting our career site and you wish to stay in touch please select the 'Introduce yourself' button on the top right. This will allow us to contact you with suitable vacancies. If you are a returning prospect and wish to view our current vacancies please Search for Jobs using the link on the top right. We’re a global, specialist insurer headquartered in Bermuda and listed on the London Stock Exchange. With 3,000 employees and 32 offices in 12 countries we’re a business with lots of opportunity for people with talent, spark and lots of ambition. If you want to build a great career with a company that prioritises strong values – such as integrity and courage – where our people always pull together to do the right thing for each other and our customers, then we’d love to hear from you.

Responsibilities

The Data Analyst will analyze business requirements and available data on the European analytics platform (Azure/Databricks) to define solutions for reliable insights in areas like Sales, Underwriting, and Finance. Key duties include analyzing requirements, performing data discovery, supporting data modeling, and designing/maintaining actionable Power BI dashboards.