Analytics & Insights Manager

MAXIS GBN - Analytics & Insights Manager

Reports to: Data Director

Location:London, UK

About MAXIS GBN

MAXIS GBN was co-founded in 1998 by MetLife and AXA, two of the largest and most trusted insurance companies in the world. In 2016, MAXIS GBN became a joint venture and established itself in London with offices at Monument where we employ an international team of over 90 staff, with another 80 based in eight countries around the world.

At MAXIS GBN, we work with multinational companies to help them deliver employee benefits (EB) to their staff around the world. We are a market leader in the global EB space, offering global pooled and captive solutions as well as comprehensive wellness programmes.

We do this through working with a network of local insurance companies (members) in more than 100 markets across the globe. More than 60% of our member insurers are owned by MetLife or AXA, the other 40% are independent local insurers - all are experts in their markets and help us to find the right solutions for the local offices of multinationals and their employees based there.

Our London headquarters houses support services from global marketing to finance to client reporting and underwriting while working with colleagues based in offices in locations across Europe, the USA and Asia.

Summary of Responsibilities

The Analytics & Insights Manager is responsible for designing and developing impactful Tableau dashboards and visualizations to transform complex data into clear, actionable insights. This role will serve as a key bridge between data and decision-making, ensuring stakeholders have access to the insights they need.

The role holder will be responsible for:

Designing, developing, and maintaining Tableau dashboards to effectively communicate key business metrics and insights, ensuring data accuracy, consistency, and reliability. Recommending optimal dashboard solutions based on business needs and Tableau's capabilities. Key examples of dashboards include:

o Advanced Claims Analytics Development: Leading the design and implementation of claims reserve adequacy analysis and underwriting year profit analysis, incorporating predictive and prescriptive analytics to support data-driven decision-making.

o Medical Claims Analytics Expansion: Developing advanced methodologies for analyzing medical claims data, including cost trends, risk segmentation, and provider performance metrics. Utilizing AI and machine learning for predictive analytics to forecast claims trends, identify high-risk claims, and optimize provider performance, providing deeper insights for improved decision-making.

o Support and enhancement of dashboards for a variety of business areas, including financial planning, P&L analysis, exchange rate risk analytics, claims insights, reserves analysis, program performance tracking, reinsurance reporting, member data submission tracking, and other data-driven needs.

Stakeholder Engagement & Communication: Maintain clear and ongoing communication with stakeholders to gather, refine, and prioritize reporting requirements, ensuring that dashboards effectively meet business needs and align with strategic objectives. Collaborate closely with both clients and internal teams, fostering a transparent exchange of insights to drive informed decision-making. Additionally, conduct training sessions to ensure stakeholders can effectively use data-driven tools and maximize their value through strong communication.

Full Suite Analytics Offering: Drive the development of a fully integrated analytics suite, combining claims, underwriting, and medical data to deliver a holistic view of risk, profitability, and financial performance.

Tableau Administration & Governance: Oversee the day-to-day management of Tableau, including license allocation, and access rights management to ensure data security and proper governance. Manage the procurement and renewal process for Tableau licensing, supporting negotiations to optimize costs and scalability. Monitor dashboard efficiency, and data refresh schedules to ensure seamless operation.

Automation & Scalability: Identify opportunities for automating data workflows and dashboard updates, ensuring efficiency and minimizing manual intervention.

Managing and mentoring a data analyst, overseeing workload distribution and development.

Regulatory Compliance & Reporting: Ensure that all claims analytics and data handling adhere to industry regulations and data privacy and security standards, enabling compliance and transparent reporting.

Person Specification

Required:

• Minimum of 4-5 years of experience in data analytics, business intelligence, or a related field, with a strong focus on dashboard development and visualization.
• Bachelor's or Master's degree in Data Science, Business Analytics, Statistics, Computer Science, Finance, Economics, or a related field.
• Expert-level proficiency in Tableau: Extensive experience in developing, optimizing, and managing Tableau dashboards. Relevant certifications in Tableau or similar tools are a plus.
• Excellent communication skills, with the ability to translate complex data into actionable insights and to collaborate with cross-functional teams, including engineering and business leaders.
• Data Management & Analytics Tools: Strong proficiency in SQL for querying databases, understanding of data modelling and ETL processes, advanced Excel skills for supplementary analysis, and basic programming knowledge (Python/R preferred) for data analysis and automation.
• Data Governance & Compliance: Knowledge of best practices in data access, governance, and security, ensuring adherence to compliance standards.
• Strategic Leadership & Collaboration: Ability to align analytics initiatives with business goals, lead cross-functional projects, and mentor teams to drive success.
• Analytical Thinking & Problem-Solving: Strong aptitude for analysing data, identifying issues, and delivering actionable, data-driven recommendations to inform decision-making.
• Project Management: Skilled in managing multiple projects, prioritizing tasks, and meeting deadlines while ensuring effective execution.
• Continuous Learning & Adaptability: Committed to staying updated on industry trends and emerging analytics practices to drive innovation.