Business Intelligence Manager
2 days ago
Job Description
Job title Business Intelligence Manager
Division Data & Analytics
Location London
Introduction
As our Business Intelligence Manager, you will lead a team of data analysts responsible for producing, maintaining, and enhancing the enterprise reporting suite on PowerBI, as well as undertaking ad hoc analyses for broking and underwriting teams.
Responsibilities
- Lead and work with a team of data analysts to deliver high-quality business intelligence solutions
- Oversee the production, maintenance, and enhancement of the enterprise reporting suite on Power BI
- Triage incoming demand and collaborate with relevant colleagues on prioritisation and delivery
- Work closely with data engineers and architects to ensure the data architecture meets the business intelligence needs
- Ensure the accuracy, consistency and reliability of data and reports
- Collaborate with trading and data colleagues to improve data quality
- Conduct ad hoc analyses to support broking and underwriting teams with data-driven insights
- Provide technical expertise and guidance on business intelligence tools and methodologies
- Develop and implement best practices for data visualisation and reporting
Knowledge/Qualifications
- Proven experience a data and analytics leadership role, preferably within the insurance or financial services industry
- Knowledge of speciality insurance broking or underwriting data and analytics needs
- Skilled in presenting valuable insights through reports, visualisations and
- Hands-on experience with data analytics and engineering tools(e.g., Power BI, SQL, Python)
- Working knowledge of the management of workspaces, databases and data models
- Familiarity with DevOps practices and Azure DevOps
Key Competencies
- Customer Focus: Understands and meets the needs of internal and external customers
- Communication: Connects well with colleagues; able to explaincomplex concepts effectively
- Analytical: Ability to analysecomplex data and develop actionable insights
- Improvement: Passion for improvingbusiness outcomes throughdata and analytics
- Collaboration: Proven ability to work collaboratively with cross-functional teams, including underwriters, brokers, and other data professionals
- Attention to Detail: Meticulous in ensuring accuracy and completeness
- Leadership: Ability to lead and mentor a team of data analysts, fostering a culture of service, continuous learning and improvement
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