Claims Data Analyst, Insurance
2 weeks ago
Claims Data Analyst is sought by thriving insurer in the City of London. You will act as a bridge between the Data team and the rest of the business, ensuring they maximise the value of the capabilities that the Data Team has developed. This role will have a particular focus on supporting the claims team and would suit someone who has experience working with claims data or in a claims team in a specialty insurer. We are looking for a highly tenacious and bright analyst with passion for data and working with cross-functional teams to be part of the Data Engagement team. Key Responsibilities:
- Work with stakeholders to define, document and prioritise business requirements.
- Deliver value from data to business stakeholders.
- Share the capabilities and tools of the Data team with stakeholders to help them improve processes and make better decisions.
- Document requirements, business outcomes, data flows and data using identified tools and techniques.
- Ensure business value of the requirements are understood by the squad.
- Be aware of technology stack, data architecture and data culture principles to ensure you can represent the data team with stakeholders and enable the team to deliver expected outcomes.
- Embed Service Excellence principles in data contracts that are built.
- Become the expert for specific datasets within our domain and having the ability to interrogate this data and specify views to support reporting requirements.
- Ensure that the various functions in the Data team are engaged as necessary to deliver required business outcomes and strategic goals.
- Ideally prior experience in a Data Analyst role within Insurance
- Claims experience
- Numerate and detail focused.
- Have a passion for using data and technology to drive decision-making.
- Demonstrate the ability to work with stakeholders from across business functions, understand business requirements and help them make use of existing data tools and capabilities.
- Ability to communicate with stakeholders effectively and keep them updated on scope, timelines, and outcomes.
- Can balance multiple requirements from different teams and prioritise based on the value delivered and resources required to deliver them.
- Experience in capturing/defining/specifying data mapping and transformation rules.
- Ability to work in a scaled agile environment involving cross functional execution teams.
- Ability to coordinate requirements and outcomes across multiple functions within the Data team (especially Data Culture, Data Architecture and Data Engineering).
- Good knowledge of SQL is required, and knowledge of Datamodelling concepts and data management techniques are advantageous.
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