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Top Data Analytics Jobs in Melbourne

23 Days Ago
Hybrid
Melbourne
Senior level
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software
As the Head of Data Science, you will lead the Marketing Data Science, Analytics & Insights team. You will be responsible for overseeing data analysis, predictive modeling, and driving innovative analytics practices. Collaboration across teams to enhance decision-making and shape marketing strategies will be key components of your role, along with mentoring a team of data scientists and fostering a data-driven culture.
Top Skills: Data AnalyticsData Science
6 Hours Ago
Remote
Melbourne
Senior level
Senior level
Food
The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.
Top Skills: Data AnalyticsData EngineeringDevOpsMachine Learning
8 Days Ago
Remote
Melbourne
Mid level
Mid level
Food
The Site IT Services Data & Analytics Lead will utilize technology and data integration to improve data quality and availability. Responsibilities include data governance establishment, providing insights to Local IT Operational teams, and interfacing with various stakeholders. The role entails integrating data across different functional areas to support strategic decision-making.
Top Skills: Data AnalyticsItMs AzurePower BIServicenowTableau
Mid level
Food
The Data & Analytics Engagement Lead will oversee the reporting for the Lead to Cash process, collaborating with global process and data owners to develop data strategies, manage data assets, and ensure reporting needs are met through effective data architecture. They will support the adoption of self-service reporting while leveraging data-driven decision-making across the organization.
Top Skills: AzureSalesforceSAP
Mid level
Food
The Data & Analytics Engagement Lead will drive standardisation in reporting, collaborate with various teams to ensure alignment with strategic requirements, educate users on self-service reporting, and manage relationships with IT teams and third-party partners to deliver robust reporting solutions.
Top Skills: Business IntelligenceData ArchitectureData Modeling
4 Days Ago
Remote
Melbourne
Mid level
Mid level
Food
The role involves leveraging technology and data integration for effective data management, ensuring data governance, and providing strategic insights to Local IT teams. Responsibilities include interfacing with stakeholders, identifying analytics solutions, and maintaining visibility of service states across local operations.
Top Skills: AnalyticsBig DataData EngineeringData Science
5 Days Ago
Remote
Melbourne
Senior level
Senior level
Food
The Data and Analytics Lead for Source to Pay will collaborate with various stakeholders to develop data strategies and oversee data collection and integration. Key responsibilities include managing data architecture for reporting needs, cataloging reporting requirements, and supporting self-service reporting deployment.
5 Days Ago
Melbourne
Senior level
Senior level
Retail
As the Head of Data Analytics at Bellroy, you will lead and grow a team of analysts, mentor them, and drive data-backed decisions. Your role involves developing advanced analytics frameworks, collaborating with cross-functional teams, and enhancing the organization's data literacy and strategic direction while ensuring impactful insights and business outcomes.
Top Skills: PythonRSQL

Featured Jobs

5 Days Ago
Melbourne
Senior level
Senior level
Gaming
As a Data and Analytics Manager at Easygo, you will lead a team to drive data-driven decision-making and optimize business operations. Responsibilities include managing analytics projects, developing insights, overseeing data strategy and governance, and mentoring team members.
Top Skills: PythonRSQL
16 Days Ago
Hybrid
Melbourne
Senior level
Senior level
Artificial Intelligence • Cloud • Digital Media • Machine Learning • Mobile • Software • Design
The Data Lead for Print will guide strategic decisions, coach data scientists and engineers, and drive the data strategy to optimize print business performance. Responsibilities include project management, stakeholder alignment, and developing insightful data models and dashboards in a high-growth environment.
Top Skills: SQL
Mid level
Food
The Data and Analytics Engagement Lead will oversee operational reporting for the Plan to Fulfil process, collaborating with various teams to harmonize and standardize reporting requirements. Responsibilities include understanding enterprise data models, ensuring data architecture suitability for reporting, and driving consistency in reporting practices across business functions.
Top Skills: OmpSAP
4 Days Ago
Melbourne
Senior level
Senior level
Fintech • Payments • Financial Services
The Data Management Specialist will document and optimize the data ecosystem, ensuring data accuracy and accessibility. Responsibilities include managing data flows, creating metadata processes, assessing data quality, and collaborating with various stakeholders to improve data practices and documentation.
Top Skills: PythonSQL
4 Days Ago
Remote
Melbourne
Senior level
Senior level
Food
The Analytics Technology Senior Lead will lead the Digital Technologies program, managing a team to deliver analytics solutions. Key responsibilities include project management, stakeholder engagement, and championing analytics deployment across the organization. This role requires innovative thinking to drive analytics transformation that enhances business value and aligns with industry trends.
Top Skills: Big DataBusiness IntelligenceBusiness ObjectsCloud AnalyticsData LakesDigital AnalyticsSap HanaTableau
23 Days Ago
Remote
Melbourne
Mid level
Mid level
Information Technology
As the Analytics Principal, you will lead analytical approaches for customer insights, product performance, and data solutions. You will collaborate across departments, perform advanced statistical analysis, and manage a small team of data specialists while driving innovative initiatives and solutions within the data function.
Top Skills: PythonSQL
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