Statistical Analyst at Momentum Metropolitan Holdings Limited

Role Purpose    

• We are looking for a driven Statistical Analyst to join our team and play a pivotal role in shaping smarter business decisions across procurement and claims. This role involves more than data analysis-it requires translating complex datasets into actionable insights that directly influence spend strategies, supplier negotiations, onboarding processes, and contracting KPIs.
• By applying proven statistical techniques and creating clear reporting, you will provide the business with the tools it needs to manage costs, improve processes, and strengthen supplier and claims outcomes. This is an opportunity to contribute meaningfully to operational and strategic objectives in the short-term insurance industry.

Requirements    
Qualifications and Experience:

• Bachelor’s degree in Actuarial Science, Statistics, Business Sciences, or Business Mathematics.
• 2+ years of business intelligence or data analytics experience.
• Short-term Insurance industry exposure will be an advantage.
• Proficiency in SQL, Python, and statistical methods.
• Experience with visualization tools (Tableau, PowerBI, Plotly).
• Cloud experience (AWS, Azure, or Google Cloud) is advantageous.
• Familiarity with version control systems (Git, AWS Commit).

Duties & Responsibilities    
Key Focus Areas

• Procurement Insights: Support direction-of-spend modelling, identify cost efficiencies, and enable stronger supplier negotiations.
• Claims Analytics: Deliver insights to optimize claims processes, improve efficiency, and support decision-making across key operational areas.
• Contracting & Onboarding: Analyze vendor performance and assist in defining KPIs to strengthen contracting frameworks and onboarding processes.

Key Responsibilities and Work Outputs:

• Data Acquisition & Cleaning: Extract and prepare data from multiple sources, ensuring quality and consistency.
• Exploratory Data Analysis (EDA): Investigate data distributions, relationships, and emerging trends.
• Statistical Analysis & Modelling: Apply techniques such as regression, hypothesis testing, and predictive modelling to identify trends and forecast outcomes.
• Data Visualization: Build compelling dashboards and visual reports (Tableau, PowerBI, Plotly) that simplify complex findings for stakeholders.
• Reporting & Recommendations: Translate analysis into clear, actionable insights that directly inform procurement and claims strategies.
• Collaboration: Partner with procurement, claims, and operations teams to tailor solutions to business needs.
• Governance: Maintain high data integrity standards through validation and documentation processes.

Competencies    

• Adaptable and eager to learn in a dynamic environment.
• Someone who can balance technical rigour with clear, impactful communication.
• A collaborative mindset with strong interpersonal skills.
• Passion for analytics, with an eye for detail and a drive to make data meaningful.