MetLife

Summary of Responsibilities: 

This role is essential for ensuring that the HSECi team utilizes data effectively to drive strategic decision-making, optimize operations, and enhance the overall member experience.

Principal Responsibilities: 

Reporting and Dashboards:

• Strong understanding of data modelling, particularly dimensional modelling (Kimball) enabling you to lead the design and build star schemas to support individual business units needs.
• Understanding of SQL to support efficient coding standards.
• Working in Information Delivery (ID) teams with experience using modern data platforms and tools such as Azure, AWS, Snowflake, Azure Data Factory, Matillion, Microsoft Power BI / Tableau, QlikView, Alteryx.
• Developing dimensional data models to support BI and analytics solutions.

• Design and develop comprehensive reports and interactive dashboards to visualize data and track key performance indicators (KPIs).
• Ensure reports and dashboards are accurate, timely, and tailored to meet the needs of various stakeholders.

Data Analysis and Insights:

• Analyze large datasets containing customer information, operational metrics, and other relevant data to identify trends, patterns, and opportunities for optimization.
• Leverage data to provide strategic insights and support decision-making processes across HSECi.
• Translate complex data into clear and concise insights and actionable recommendations.
• Identify trends and patterns in insurance policyholder data and operational transaction data, providing actionable insights to support strategic decision-making and business planning.
• Monitor the performance of insurance policies and operational processes against established targets and benchmarks, identifying areas for improvement and optimisation.

Predictive Modeling and Analytics:

• Build and maintain predictive models, segmentation models, and other analytical tools to forecast customer behavior and inform strategic initiatives.
• Continuously improve and refine models to enhance their accuracy and effectiveness.
• Develop and maintain complex financial models built from primary and secondary data sources.

Collaboration and Communication:

• Collaborate with cross-functional teams , including actuarial, underwriting, product, claims and marketing, to understand data requirements and deliver insights that drive business outcomes.
• Communicate complex data findings and insights effectively to non-technical stakeholders.

Data Governance and Quality Management:

• Define and enforce data standards and governance to ensure data integrity, quality, and security.
• Implement quality management frameworks to maintain high standards in data analysis and reporting.

Continuous Improvement:

• Stay updated with the latest data analytics tools, techniques, and industry trends to ensure best practices are applied.
• Identify and implement process improvements to enhance data analysis and reporting capabilities.

Knowledge/Skills/Competencies Required:

• Data Analysis: Expertise in analysing large datasets and identifying trends, patterns, and opportunities for optimization.
• Predictive Modeling: Proficiency in building and maintaining predictive models and other analytical tools.
• Reporting and Visualization: Strong skills in designing and developing reports and dashboards using tools like Power BI, Tableau, or similar.
• Analytical Skills: Excellent problem-solving and analytical skills to translate complex data into actionable insights.
• Communication: Exceptional communication skills to effectively convey data findings to non-technical stakeholders.
• Technical Proficiency: Proficiency in data analysis software and programming languages such as SQL, Python, or R.
• Collaboration: Ability to work collaboratively with cross-functional teams to achieve business objectives.
• Data Governance: Knowledge of data governance principles and practices to ensure data integrity and quality.
• Attention to Detail: High attention to detail to ensure accuracy and reliability in data analysis and reporting.
• Strategic Thinking: Ability to leverage data to provide strategic insights and support decision-making processes.

Qualifications Required:

Essential

Desirable

• Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related field.
• Minimum 5 years of experience in data analysis, reporting, and predictive modeling.
• Experience in the insurance or financial services industry..
• ..

Personal Attributes: 

Positive, optimistic, warm, compassionate, confident, patient, calm, fair, honest, respectful of others, has integrity, open, resilient, strong talker and listener, hardworking, team player, leads by example, encourager, self-motivated, supports change in a positive way, owns their culture. Takes ownership and where needed, leadership