Senior Claims Data Analyst

Title: Senior Claims Data Analyst

Location: Sydney, NSW 

Job Description:

Salary: up to $85,000 base salary plus super

Full-time position

An opportunity has arisen for a Senior Claims Data Analyst to join Marsh, based in Sydney.

The Senior Claims Data Analyst is responsible for designing and applying statistical methodologies to analyse complex risk portfolios, financial exposures and claims-related data. It has the objective of generating reliable, evidence-based insights to support strategic decision-making, risk management, and performance optimisation. The role exists to transform raw data into statistically valid analyses, predictive models, and interpretable outputs that quantify trends, uncertainty, and relationships within the business and external clients. This includes defining analytical frameworks, assessing data quality and its limitations, and communicating statistically relevant findings to both technical and non-technical stakeholders.

The position operates with a high degree of autonomy in selecting appropriate statistical techniques it uses and is accountable for ensuring the methodological integrity, reliability, and practical relevance of all analytical outputs.

We will count on you to:

• Engage with clients to define analytical objectives, scope statistical investigations, and translate business problems into statistically valid analytical frameworks.
• Advise clients on the collection of claims-related data, reviewing current collection practices to ensure key-data points are appropriately mapped and tracked in light of the clients risk profile and business objectives.
• Design statistical approaches to data collection and study structures ensuring alignment between business questions, sampling approaches, and analytical validity.
• Communicate complex statistical findings in a clear and structured manner to enable the clients informed decision-making.
• Translate complex analytical findings to clients through reports, dashboards, and presentations tailored to both technical and non-technical audiences.
• Act as a subject matter expert in statistical analysis within the team.

Required skills, qualifications and experience:

• A tertiary qualification at Bachelor level or higher in Statistics, Mathematics, Data Science, Applied Finance, or a closely related quantitative discipline with a strong emphasis on data science, statistical theory and methods.
• Experience in statistical analysis, data modelling, or quantitative analysis roles, with demonstrated application of statistical methodologies to real-world datasets.
• Proven experience in selecting, applying, and validating statistical models, including regression analysis, hypothesis testing, time series analysis, and distributional modelling.
• Demonstrated experience in designing analytical approaches, defining data requirements, and assessing data quality, reliability, and limitations.
• Experience translating statistical findings into actionable insights and communicating complex analytical outcomes to both technical and non-technical stakeholders
• Experience with analytical and reporting tools such as Excel, Power BI, or statistical programming environments (R or Python).

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. 

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Applications will only be considered from candidates who have the appropriate approval to work in Australia. Successful applicants will be required to complete a Criminal & Bankruptcy check prior to commencing of employment.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.