Metlife Australia | Senior Data And Reporting Analyst

Vor 3 Tagen

Melbourne, Österreich Tideri Jobbörse Vollzeit

Country
Australia
Working Schedule
Full-Time
Work Arrangement
Hybrid
Relocation Assistance Available
No
Posted Date
17-Jun-2024
Job ID
2707
Description and Requirements About the HSECi team
MetLife is a leading global life insurer, and the insurance partner for Hostplus, one of Australia's largest and fastest growing superannuation fund with over $100bn in assets and over 1.8 million members.
MetLife have created a market-first service experience for Hostplus that delivers market-leading support and guidance for members for any insurance need they have, with a focus on first-point resolution and making sure the member's needs are taken care of from beginning to end.

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.

The Senior Data and Reporting Analyst is responsible for leveraging data to provide strategic insights and support decision-making processes across the HSECi team.
This role involves analyzing large datasets, translating complex data into actionable insights, and developing predictive models and analytical tools to optimize operations and forecast customer behavior.

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.
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.
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.
Qualifications Required:
Certifications in data analysis or related fields 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.

Benefits We Offer
When you join MetLife Australia, you are joining a company that demonstrates holistic care and wellbeing for employees with benefits and programs that address physical, mental, social and financial health.
We offer life insurance benefits, generous paid parental leave, market leading menopause and fertility leave, car leasing and more.
As well as Employee Assistance Program (EAP), access to 360Health medical support, volunteer leave and study assistance.

About MetLife
Recognised on Fortune magazine's list of the 2024 "World's Most Admired Companies", Fortune World's 25 Best Workplaces for 2024, as well as the Diversity Council of Australia Inclusive Employer Award 2023-2024, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers.
With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.

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