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Data Analyst, Insurance
3 days ago
Data Analyst, Insurance
City/hybrid
Circa £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 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.
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