Power BI Developer - Job Opportunity at Gallagher Re

London, United Kingdom
Full-time
Senior
Posted: May 6, 2025
On-site
GBP 85,000 - 120,000 per year based on London market rates for senior BI developers in financial services

Benefits

Enhanced Pension Scheme with employer matching
Comprehensive Life Insurance (4x-10x salary)
Premium Health Insurance Package
Extended Holiday Package (25+ days)
Flexible Benefits Platform
Stock Purchase Program with preferential rates
Family Care Support System
Wellness Program with gym subsidies
Professional Development Fund
Paid Volunteer Time (3 days annually)

Key Responsibilities

Lead data architecture and warehousing initiatives for enterprise-level BI solutions
Drive strategic decision-making through advanced analytics implementation
Design and optimize end-to-end business intelligence frameworks
Conduct complex quantitative and qualitative data analysis
Develop operational plans for sub-functional areas
Guide product and process innovation
Engage with leadership on strategic initiatives

Requirements

Education

University Degree

Experience

10 years minimum relevant experience

Required Skills

Data analysis and transformation Data visualization and presentation Problem solving Insurance industry knowledge Communication and stakeholder management skills Statistical analysis Basic programming knowledge
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Sauge AI Market Intelligence

Industry Trends

The reinsurance industry is experiencing rapid digital transformation, with increased demand for real-time analytics and data-driven decision making Growing emphasis on predictive modeling and AI integration in risk assessment is creating new opportunities for BI developers Rising importance of ESG data visualization and reporting capabilities in response to regulatory pressures

Role Significance

Likely leading a team of 3-5 analysts while collaborating with multiple business units
Senior technical position with strategic influence on business operations and decision-making processes

Key Projects

Enterprise-wide data warehouse optimization initiatives Predictive analytics implementation for risk assessment Regulatory reporting automation projects Client-facing analytics platform development

Success Factors

Deep understanding of insurance industry data structures and regulatory requirements Ability to translate complex business requirements into scalable BI solutions Strong stakeholder management across technical and business teams Forward-thinking approach to data architecture and visualization

Market Demand

High demand with growing trajectory due to increasing focus on data-driven decision making in reinsurance and broader insurance markets

Important Skills

Critical Skills

Power BI expertise with enterprise-scale implementation experience Advanced data modeling and ETL capabilities Strong insurance domain knowledge Strategic thinking and business acumen

Beneficial Skills

Cloud platform experience (Azure preferred) Knowledge of regulatory reporting requirements Machine learning and AI integration skills Risk modeling expertise

Unique Aspects

Rare opportunity to work with cutting-edge analytics in reinsurance context
Strong emphasis on professional development and career progression
Comprehensive benefits package exceeding industry standards
Direct involvement in strategic business decisions

Career Growth

2-4 years potential progression to leadership positions based on performance and business growth

Potential Next Roles

Head of Business Intelligence Data Analytics Director Chief Data Officer Technical Architecture Leader

Company Overview

Gallagher Re

Gallagher Re represents the reinsurance division of Arthur J. Gallagher, a global insurance brokerage and risk management services firm

Top-tier reinsurance broker with significant market influence and global presence
Major operations hub in London with strategic importance for European markets
Professional environment with strong emphasis on innovation and technical excellence, balanced with employee development and work-life balance
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Data Sources & Analysis Information

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  • Salary estimates and market demand analysis
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  • Critical success factors and key skills
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