Business Intelligence Manager

2 days ago


London, UK, United Kingdom Venquis Full time

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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