Company:
ARC IT Recruitment
Location: London
Closing Date: 17/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Senior Data Analyst, Insurance
London/Hybrid circa £95k + excellent bonus (20%) + excellent benefits
Change, Insurance, Data Transformation
You MUST have insurance experience for this role.
Senior Data Analyst with insurance experience 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 short-term projects that have a dependency on the Data Team and would suit someone who has experience working with small and large-scale data transformation projects.
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. Manage between 4-6 non-permanent team members; Identify improvements to our ways of working and processes, and pursue the required changes; 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.
Key Requirements:
Prior experience in a Data Analyst role within Insurance Data transformation experience 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.
If you are looking for a rewarding career in data for an innovative, growth organisation where employee development and wellbeing is at the heart of what they do please get in touch.
*all salaries are dependent on experience*
London/Hybrid circa £95k + excellent bonus (20%) + excellent benefits
Change, Insurance, Data Transformation
You MUST have insurance experience for this role.
Senior Data Analyst with insurance experience 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 short-term projects that have a dependency on the Data Team and would suit someone who has experience working with small and large-scale data transformation projects.
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. Manage between 4-6 non-permanent team members; Identify improvements to our ways of working and processes, and pursue the required changes; 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.
Key Requirements:
Prior experience in a Data Analyst role within Insurance Data transformation experience 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.
If you are looking for a rewarding career in data for an innovative, growth organisation where employee development and wellbeing is at the heart of what they do please get in touch.
*all salaries are dependent on experience*
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