Senior Investment Data Analyst

Company:Marsh

Description:

Senior Investment Data Analyst

We are seeking a talented individual to join our Investments Data team at Marsh on a 12 month fixed term contract to cover parental leave. This role will be based in Melbourne or Sydney. This is a hybrid role that has a requirement of working at least three days a week in the office.

This role sits within the Marsh Pacific investment data function and supports the implementation and ongoing operation of an investment data management capability. You will work closely with internal stakeholders across investments, operations, portfolio implementation and technology to analyse, manage and improve investment data feeds, governance and reporting.

We will count on you to:

• Analyse, validate and manage investment data feeds across a range of asset classes and data types
• Manage routine BAU tasks as needed and provide day-to-day operational oversight
• Support the implementation and ongoing operation of the investment data management platform
• Work with internal and external stakeholders to resolve data issues and improve data quality
• Contribute to testing, process mapping, documentation and governance activities
• Support broader project tasks and cross-team initiatives as required
• Provide clear analysis and subject matter input to help strengthen data management practices

What you need to have:

• Degree qualification in finance, economics, mathematics or a related analytical discipline, or equivalent experience
• Proven experience in investment data analysis within a multi-asset manager, superannuation fund or similar environment
• Well-developed knowledge of investment, custody and financial market data, instruments and data feeds
• Experience using Excel, VBA, SQL, relational databases and analytical or reporting systems
• Well-developed analytical skills and the ability to communicate clearly with investment professionals and internal stakeholders

What makes you stand out:

• Experience supporting system implementation, testing or data management platform projects
• Familiarity with investment data management and portfolio management systems
• Experience with data visualisation tools such as Power BI, Qlik or Tableau
• Eagle PACE and TruView experience

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 (NYSE: MRSH) is 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. For more information, visit marsh.com, or follow us on LinkedIn and X.

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.