Data Analyst, Insurance

Data Analyst, InsuranceCity/hybridCirca £60K + bonus and benefits

Data Analyst with significant insurance experience is required to join a vibrant and fast-growing division within a multinational insurance organisation. This is a pivotal role that will see you collaborating with a broad range of stakeholders to develop critical KPIs and MI. The ideal candidate will have superb communication and organisation skills with the ability to balance a busy workload of projects unearthing requirements and helping to deliver impactful change.

This is a fantastic opportunity to join an evolving team with great scope for long term career progression.

Key Responsibilities:

• Work closely with stakeholders to capture and analyse data needs from various source systems
• Understand, validate and design business requirements for data products including KPIs, definitions, visualisation and general look and feel
• Support the design of reports and dashboards that communicate key performance indicators and insights
• Present and consult in a clear and compelling manner to both technical and non-technical audiences through wireframes and visualisation tools.
• Collaborate with cross-functional teams to align data analytics with business goals and objectives.
• Plan and prioritise requirements for delivery
• Support the visualisation of scenario analysis and provide insights into potential outcomes based on various factors.
• Support the Data Governance function in the develop and enforcement of data governance policies and procedures
• Participate in data quality and compliance audits as needed.
• Create comprehensive documentation for data solutions, including data dictionaries, business glossaries, process flows, and user guides.

Key skills and experience:

• Bachelor's or master's degree in a relevant field (e.g., Mathematics, Statistics, Data Science or related Business discipline).
• Proven experience in a similar role within the insurance industry
• Strong knowledge of insurance concepts, underwriting principles, and market dynamics.
• Excellent communication skill
• Proficient in analysing complex datasets to derive actionable insights.
• Experience with data visualisation tools such as Tableau, Power BI, or similar.
• Proficiency in data analytics tools and programming languages (e.g., SQL, Python, R) desirable.
• Understanding of business processes and goals to align data analysis with business objectives.
• Knowledge of data cleansing and preprocessing techniques.
• Knowledge of data governance principles and best practices.

For a full consultation on this exciting opportunity, please send your CV to ARC ITPlease note, salaries quoted are dependent on experience