Senior Insurance Data Analyst
2 weeks ago
We are seeking a highly skilled and experienced Senior Data Analyst to join our team at ARC IT Recruitment. As a Senior Data Analyst, you will play a key role in driving business value from data and working closely with cross-functional teams to deliver strategic goals.
Key Responsibilities- 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.
- Support short-term projects that have a dependency on the Data Team, focusing on data transformation and working with small and large-scale data projects.
- Deliver value from data to business stakeholders, sharing the capabilities and tools of the Data team to help them improve processes and make better decisions.
- Manage a team of non-permanent team members, documenting requirements, business outcomes, data flows, and data using identified tools and techniques.
- 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 have 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.
- Prior experience in a Data Analyst role within Insurance.
- Data transformation experience.
- Passion for using data and technology to drive decision-making.
- Ability to work with stakeholders from across business functions, understand business requirements, and help them make use of existing data tools and capabilities.
- 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 Data Modelling concepts and data management techniques are advantageous.
We are a growth organisation that values employee development and wellbeing. If you are looking for a rewarding career in data, please get in touch.
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