Reporting and Analytics Manager

The Reporting and Analytics Manager has the responsibility for leading Bryte’s enterprise reporting and analytics capability. You will ensure that Exco and Business Unit Heads have access to trusted, governed and actionable information to support operational, tactical and strategic decision-making. The incumbent will work closely with peers in the Pricing, Data Engineering and Data Governance teams to implement and maintain Bryte’s Enterprise Data and Analytics Platform while establishing standards for self-service analytics and generating business insights. This role reports into the Head of Analytics and Pricing.

Key Tasks & Accountabilities

Outward

• Manage stakeholder expectations and foster collaborative relationships
• Align reporting capabilities with business strategy
• Drive enterprise adoption of data-driven decision-making
• Analyse and interpret business intelligence and communicate conclusions to business stakeholders
• Support and participate in portfolio management and performance assessment against KPIs
• Identify and develop machine learning and AI use cases, build organisational support for proposed solutions and drive their successful implement within the business.

Internal

• Plan, prioritise and manage your team’s work within SLA and capacity
• Ensure reporting accuracy and consistency
• Maintain enterprise KPI definitions and metric governance
• Establish trusted data assets for reporting and analytics
• Support audit and regulatory requirements
• Maintain modelling minimum standards and drive your team and processes towards best practice
• Recruit new staff and ensure their systematic training and development
• Manage performance and take corrective action when required
• Provide appropriate leadership to staff and reinforce company culture

Technical Proficiency

• Accomplished Python, SQL and PowerBI user, with proven ability to reconcile administration and claims transaction data to financials
• Proficient with Python packages for data visualisation and machine learning e.g. Pandas, Seaborn, Plotly, Scikit-learn, XGBoost, PyTorch an advantage
• Accomplished analytics specialist with exposure to data catalogues, business glossaries, data quality frameworks and stewardship models
• Office and project management experience
• Familiarity with non-life insurance pricing and portfolio management best practice an advantage

Qualifications & Work Experience

• Postgraduate qualification in Actuarial Science, Mathematics, Statistics, Computer Science or similar
• Other relevant qualifications, courses and training an advantage
• Ideally 6 years analytics experience preferably in non-life insurance
• Experience in leading analytics teams
• Experience providing insights and recommendations to senior managementExperience in machine learning bet practice
• Experience at prioritizing, resourcing and planning
• Ability to manage diverse work portfolio and team
• Demonstrate ability to collaborate effectively across functions and influence outside of own function

Skills

• Time Management & Prioritising
• Planning, delegating and tracking work
• Organising and coordination
• Able to manage expectations and change

Personal Qualities

• Motivator, influencer and thought leader
• Accomplished communicator, a great listener
• Earnest collaborator, with best practice bias
• Prolific solution and synergy coordinator
• Efficient at delivery, while maintaining high quality
• Control cycle proponent, an accomplished process improver

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