Top Data Analyst Jobs in Melbourne

The Data Analyst will gather, analyze, and interpret data to provide insights, develop reporting solutions, and leverage AI for business performance enhancement.

The Data Analyst will manage clients' energy data, validate invoices, report on sustainability, and assist in budgeting and forecasting.

Lead analytics delivery focusing on marketing, provide insights on campaigns, build data models, and mentor team members on analytics.

The Data Analyst supports business initiatives by providing analytics insights, managing data projects, mentoring peers, and ensuring data quality.

The Data Analyst role involves transforming messy data into actionable insights, building analyses, mentoring junior analysts, and collaborating with teams to drive data-informed decisions.

As a Data Engineer, you'll build scalable data pipelines, collaborate with marketing teams, ensure data quality, and optimize existing infrastructure to support analytics.

The ERP Data Analyst at Velixo will analyze business requirements, design reporting solutions using SQL and Excel, conduct training, and provide support to clients.

As a Senior Data Analyst, you will develop data models and pipelines, produce actionable insights, mentor peers, and drive decision-making for Kick's growth.

The Data Business Analyst will lead requirement gathering, maintain documentation standards, manage backlog, and bridge technical and business stakeholders to support data-driven decision making for Jetstar's growth.

The role involves providing client support, handling service delivery issues, engaging with stakeholders, and assisting in project execution while learning data and analytics technologies.

The Data Analyst will manage and optimize data across school systems, develop reports and dashboards, maintain data integrity, and collaborate with school leadership and staff to enhance data-driven decision-making.

The Senior Data Analyst supports Growth Managers by analyzing data to identify new revenue opportunities, designing reporting processes, and ensuring data quality while collaborating across departments.

Analyze datasets to identify trends, drive insights, and collaborate with engineering teams to enhance data pipelines, applying statistical techniques to improve decision-making.