In-Demand Analytics engineer data & analytics Jobs in Melbourne Vic

Data Scientist
Publicis Groupe Holdings B.V —Southbank VIC
- Azure
- Data analysis skills
- SQL
Quick Apply
10h
Staff Data Engineer (Data Architect) - Sydney/Melbourne
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- APIs
- AI
7h
Team Lead Software Engineering
Domain Group —Cremorne VIC
- Azure
- DevOps
- AWS
5d
Technology Lead
Domain Group —Cremorne VIC
- Azure
- Computer Science
- DevOps
Maintenance & Asset Management Consultant
Wood —Melbourne VIC
- Urgently hiring
- Hybrid work
- Microsoft Excel
- Maintenance
- In-person
Water and Wastewater Planning Engineer - Melbourne or Brisbane
WSP Australia —Melbourne VIC
- Full-time
- Microsoft Excel
- Engineering
- Bachelor's degree
- Employee stock purchase plan
- Parental leave
Data Architect
InfoCentric —Melbourne VIC
- Full-time
- Azure
- AWS
- AI
Quick Apply
Product Manager - Data & Automation/AI
David Jones —Melbourne VIC
- Full-time
- Hybrid work
- Agile
- AI
- Annual leave
- Parental leave
Senior Tax Technology Analyst (Transformation) | National
Deloitte —Melbourne VIC
- Azure
- SQL
- APIs
- Parental leave
Functional Dynamics 365 Supply Chain/FinOps Lead
Deloitte —Melbourne VIC
- Communication skills
- Parental leave
Technical Account Manager
Omnicom Group —Melbourne VIC
- Full-time
- AI
Senior Energy Analyst - Australia
Powerline —Melbourne VIC
- Full-time
- Hybrid work
- Microsoft Excel
- SQL
- Analysis skills
Team Lead Software Engineering
CoStar Group —Melbourne VIC
- Full-time
- Azure
- DevOps
- AWS
5d
Customer Engineer, Platform, Google Cloud
Google —Melbourne VIC
- Full-time
- Sales
- Systems design
- Presentation skills
3d
Senior IT Systems Engineer
Stile Education —Melbourne VIC
- On call
- Azure
- Management
- Customer service
Geotechnical Engineer / Senior Geotechnical Engineer
AMC Consultants —Melbourne VIC
- Full-time
- Hybrid work
- Bachelor's degree
- Communication skills
- Analytics
- Life insurance
Quick Apply
Technology Lead
CoStar Group —Melbourne VIC
- Full-time
- Azure
- Computer Science
- DevOps
Sr. Forward Deployed Engineer
Databricks —Melbourne VIC
- SQL
- APIs
- AI
Senior Data Scientist
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Machine learning
- AI
- Analytics
5d
Senior iOS Engineer
CoStar Group —Melbourne VIC
- Full-time
- Computer Science
- DevOps
- Engineering
6d

I want to receive the latest job alert for analytics engineer data & analytics in melbourne vic

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

analytics engineer data & analytics jobs near melbourne vic

Senior Engineer jobs in Melbourne VIC

Ios Developer jobs in Melbourne VIC

Software Engineer jobs in Melbourne VIC

Product Manager jobs in Melbourne VIC

Senior Analyst jobs in Melbourne VIC

Geotechnical Engineer jobs in Melbourne VIC

Data Architect jobs in Melbourne VIC

Electrical Engineer jobs in Sydney Nsw

Junior Data Engineer jobs in Sydney Nsw

Software Engineer jobs in Darwin Nt

Cloud Architect jobs in Greater Adelaide Sa

Data Scientist jobs in Westmead Nsw

Data Scientist jobs in Mayfield West Nsw

Data Entry Work From Home jobs in Brisbane Qld

Data Analyst jobs in Melbourne Vic

Data Scientist jobs in Melbourne University Vic

Technology Lead jobs in Caulfield Vic

Technology Lead jobs in New South Wales

Working Holiday Visa, Information Technology jobs in Melbourne Vic

Return To Work Information Technology jobs in Melbourne Vic

Data Scientist

Publicis Groupe Holdings B.V -
Southbank VIC

Quick Apply

Job Details

10 hours ago

Qualifications

Jira
Power BI
Azure
Deployment
NumPy
Data analysis skills
Logistics
Git
Tableau
SQL
AWS
Docker
Machine learning
Confluence
REST
Forecasting
Agile
JSON
Systems analysis
Business requirements
AI
Communication skills
Marketing

Full Job Description

At Publicis Sapient, We’re Building Something Truly Exceptional! Our Data & AI practice designed to redefine how businesses operate, grow, and deliver value. We're not talking about trendy buzzwords—we're talking about real impact. AI is transforming industries, enriching customer experiences, and unlocking untapped potential—and we're leading that change every day

Join Publicis Sapient as a Senior Associate, Data Science and help shape the future of data-driven digital transformation. In this role, you will help to drive the Data & AI practice by playing a critical role in delivering solutions for our clients and contributing to business development activities. This is a hands-on role where you will apply advanced techniques for data analytics, machine learning, and AI as a core building block for our services.

You will leverage your experience across industries to understand business requirements, identify approaches and designs, and work with multi-disciplinary teams to develop solutions. As an evangelist for Analytics, you will engage with broader data, engineering, product, and strategy practices to provide insights into best practices and emerging technologies and techniques, ensuring that the solutions we develop are data and insight driven.

What you will do:

Design and implement advanced analytical solutions and machine learning models that drive measurable business value, selecting appropriate methodologies based on problem context, ensuring models are robust and interpretable, to ensure solutions meet client needs, not just basic requirements.
Build client relationships and deliver end-to-end data science engagements, from problem framing and exploratory analysis through to model deployment and impact measurement, translating complex analytical findings into actionable business recommendations and managing stakeholder expectations throughout the project lifecycle.
Thrive in cross-functional team environments, working closely with data engineers, analysts, software engineers, experience and strategy specialists, and business stakeholders to deliver integrated solutions, facilitating effective communication across technical and non-technical audiences, and driving consensus on complex decisions.
Help shape and grow our Data practice, invest in continuous learning and support development of others, stay current with emerging technologies and methodologies, and contribute to a collaborative team culture where knowledge sharing and growth are valued. Establish standards to ensure consistency across projects and teams.
Contribute to business development and firm visibility by participating in proposal development and client pitches, creating thought leadership content through, engaging with the broader data engineering community, and identifying opportunities to expand existing client relationships.

Experience and Skills required:

8+ years of relevant professional experience working as a data scientist.
A passion for using AI and data for business transformation and a thirst to continually learn and keep pace with the latest innovations and applications.
Experience in statistical methods and modelling techniques (e.g., Random Forests, Clustering, Linear Regression) and expertise in key areas such as customer intelligence (segmentation, behavior analysis, personalization, recommender systems, forecasting).
Experience using and integrating generative AI models and platforms, agentic solutions, and context engineering techniques.
Experience with programming languages (Python, R, SQL) and AI/ML platforms (e.g. Databricks, and cloud platforms (e.g. Azure Synapse, AWS SageMaker, Google Cloud Vertex AI).
Experience with data science, data visualization, and data analysis tools (e.g., scikit-learn, pandas and NumPy, Apache Spark, matplotlib, ggplot2).
Experience working with large volume data sets and multiple data formats and interfaces (SQL, JSON, REST, Parquet, streaming, geospatial, unstructured).
Technical knowledge of reporting and data visualization tools (Tableau & Power BI), graphing and chart libraries (e.g., matplotlib, plotly).
Experience working in a client-facing (ideally) consulting role, having great written and verbal communication skills, and the ability to work closely with stakeholders, or having been part of a project team.
Flexibility and the willingness to travel are required for this role, as you might need to spend time on-site with our clients.
Experience in agile methodologies and relevant tools (Confluence, Jira, git).
Experience working in cross-cultural and cross-disciplinary teams.

Desired Qualifications

Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, Processing, marketing automation, etc.).
Experience in production environments for Machine Learning products, knowledge of the tools that are needed for model deployment and lifecycle management in ML engineering (Docker, Kubernetes).
Solid knowledge of software engineering principles & deployment methods (preferably in cloud environments). Experience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP, etc.
Industry experience in the Finance, Automotive, Logistics, Energy, or public sector.

Quick Apply

Refine Your Search

analytics engineer data & analytics jobs in melbourne vic

Data Scientist

Staff Data Engineer (Data Architect) - Sydney/Melbourne

Team Lead Software Engineering

Technology Lead

Maintenance & Asset Management Consultant

Water and Wastewater Planning Engineer - Melbourne or Brisbane

Data Architect

Product Manager - Data & Automation/AI

Senior Tax Technology Analyst (Transformation) | National

Functional Dynamics 365 Supply Chain/FinOps Lead

Technical Account Manager

Senior Energy Analyst - Australia

Team Lead Software Engineering

Customer Engineer, Platform, Google Cloud

Senior IT Systems Engineer

Geotechnical Engineer / Senior Geotechnical Engineer

Technology Lead

Sr. Forward Deployed Engineer

Senior Data Scientist

Senior iOS Engineer

I want to receive the latest job alert for analytics engineer data & analytics in melbourne vic

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected