Data Analyst - HCMS at St Vincent de Paul Society
Box Hill, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

02 Aug, 25

Salary

0.0

Posted On

29 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

A LITTLE BIT ABOUT US

For over 170 years we have been in Victoria assisting people through the challenges of poverty and exclusion address suffering, advocating against inequality and promoting human dignity and self-determination.
Overall, St Vincent de Paul Society Victoria has many arms and services. These include soup vans, education programs, home visitation programs and VincentCare Victoria, which provides a range of services and programs for people who are experiencing or at risk of homelessness and disadvantage. This includes crisis accommodation, drug and alcohol dependency programs, and housing.
It’s an exciting time to join the organisation as we have recently launched a new strategic plan that is future oriented and full of exciting initiatives. The IT Transformation team will play a pivotal role in delivering on strategic projects and helping the organisation to achieve operational excellence.

Responsibilities

ABOUT THE ROLE:

This is a 12-month maximum-term position with the potential for extension, reporting to the Senior Planning & Reporting team. The Employee Data Analyst plays a vital role in ensuring the integrity, accuracy, and accessibility of employee data across various systems. As the organization implements a new HCM system, the role will support data migration, system integrations, and provide key insights to business stakeholders through data-driven decision-making.

KEY RESPONSIBILITIES:

You will assist with system transitions, particularly during the implementation of the new Dayforce HCM system, including supporting data migration and integration efforts. You’ll also develop Power BI dashboards and reports to provide actionable workforce insights, and streamline data processes through automation, ETL processes, and SQL queries.
Your focus will be on improving the accuracy and integrity of employee data by cleansing, transforming, and validating data from multiple sources, ensuring it aligns with business requirements and compliance standards. You’ll play a key role in advising on data governance best practices, such as retention and purging policies, and ensuring data quality throughout the integration processes.
Additionally, you will collaborate with HR, payroll, finance, IT, and external vendors to ensure seamless data management and reporting. You’ll support continuous improvement initiatives, optimising data processes, and contributing to the overall system transformation.

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