4 days ago

Lead Analyst - Product Analytics

Quantium

Melbourne

4 days ago

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Quantium, a global leader in data science and AI, is seeking a Senior Analyst for its Product Analytics team in Melbourne. The role involves designing and delivering sophisticated analytics solutions, working with complex datasets, and collaborating with cross-functional teams. Candidates need 4-7 years of experience, strong Python and SQL skills, and cloud platform experience.

AI-enabledHybridFull-timeSeniorPythonSQL

Lead Analyst - Product Analytics

Apply

AI-enabledHybridFull-timeSeniorPython

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid

Experience Required

7 years

Employment Type

Full-time

Experience Level

Senior Analyst

Core Qualifications

Technical (Must-have)

PythonSQLGCPAWSAzureMachine LearningStatistical ModellingExperimental DesignFeature EngineeringModel DevelopmentVersion ControlTestingDocumentationCloud-based Data ProcessingData Science

Soft Skills

Problem-solvingCommunicationGrowth mindsetCollaborationMentoringCoordinationLeadership

Preferred Qualifications

Technical (Nice-to-have)

Generative AIClaudeChatGPTGitHub CopilotRetail AnalyticsConsumer BehaviourPromotional AnalysisTransaction Data

Key Responsibilities

•Design and build sophisticated analytics solutions with growing independence
•Support Analytics Leads with solution architecture and technical decision-making
•Develop analytics approaches that can be scaled and reused across different business contexts
•Create detailed specifications for analytics work that engineering teams can implement
•Take responsibility for significant components of analytics solutions including models, algorithms, and optimisation approaches
•Work with complex datasets using cloud platforms and modern data engineering tools
•Apply advanced data science methods with attention to quality and scalability
•Use AI tools effectively to enhance analytical workflows and support team productivity
•Support product roadmap delivery and ongoing operational requirements
•Contribute to technical discussions about approach, effort estimates, and timelines

Data ScienceAnalyticsProduct AnalyticsPythonSQLCloudMachine LearningSenior AnalystHybridFull-time

Core Qualifications

Technical (Must-have)

PythonSQLGCPAWSAzureMachine LearningStatistical ModellingExperimental DesignFeature EngineeringModel DevelopmentVersion ControlTestingDocumentationCloud-based Data ProcessingData Science

Soft Skills

Problem-solvingCommunicationGrowth mindsetCollaborationMentoringCoordinationLeadership

Key Responsibilities

•Design and build sophisticated analytics solutions with growing independence

•Support Analytics Leads with solution architecture and technical decision-making

•Develop analytics approaches that can be scaled and reused across different business contexts

•Create detailed specifications for analytics work that engineering teams can implement

•Take responsibility for significant components of analytics solutions including models, algorithms, and optimisation approaches

•Work with complex datasets using cloud platforms and modern data engineering tools

•Apply advanced data science methods with attention to quality and scalability

•Use AI tools effectively to enhance analytical workflows and support team productivity

•Support product roadmap delivery and ongoing operational requirements

•Contribute to technical discussions about approach, effort estimates, and timelines