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

Consultant - Data & Analytics
Synogize —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
- Communication skills
Quick Apply
7h
Enterprise Applications Sales Specialist, VMware Engine and SAP (English)
Google —Melbourne VIC
- Full-time
- Sales
- Bachelor's degree
- No degree
4d
Senior Engineer
Downer Group —Melbourne VIC
- Communication skills
Head of GTM Operations
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- Salesforce
- SQL
- AI
- Work from home
- Parental leave
Senior Product Manager
News Corp —Melbourne VIC
- Full-time
- Hybrid work
- Product management
- AI
- Café
- Parental leave
4d
Senior Product Manager
REA Group —Richmond VIC
- Full-time
- Hybrid work
- Product management
- AI
- Café
- Parental leave
6d
Solution Engineer
Snowflake —Melbourne VIC
- SQL
- AI
- Communication skills
16h
Product Manager
Coles Group —Hawthorn East VIC
- Full-time
- Machine learning
- No degree
- Product management
- Free parking
- Employee stock purchase plan
13d
Lakebase Specialist Sales
Databricks —Melbourne VIC
- Azure
- Sales
- Databases
Principal Mining Engineer (Underground)
AMC Consultants —Melbourne VIC
- Full-time
- Hybrid work
- Business development
- Bachelor's degree
- Communication skills
- Life insurance
Quick Apply
Solutions Consultant
MoEngage Inc —Melbourne VIC
- SQL
- APIs
- AI
Quick Apply
20h
Systems Engineer
Signify —Melbourne VIC
Senior / Principal Mining Consultant (Strategy Optimization)
AMC Consultants —Melbourne VIC
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Analysis skills
- Life insurance
Quick Apply
Data Centre Security Manager , Data Centre Security
Amazon Corporate Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Negotiation
- Analytics
- Health insurance
- Employee assistance program
Senior Data Analyst
City of Boroondara —City of Boroondara VIC
- $117,401 - $131,096 a year
- Full-time
- Hybrid work
- SQL
- Communication skills
10h

Other jobs to consider

Find your next job by exploring related positions.

Consultant - Data & Analytics
Synogize —Melbourne VIC
Where relevant, contribute to AI-enabled analytics, automation and decision-support solutions. Collaborate with data engineers, analysts, data scientists and…
Quick Apply
7h
Enterprise Applications Sales Specialist, VMware Engine and SAP (English)
Google —Melbourne VIC
Excellent written and verbal communication skills, with the ability to plan, pitch, and execute a comprehensive sales strategy.
4d

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Consultant - Data & Analytics

Synogize
Melbourne VIC

Quick Apply

Job Details

Permanent | Full-time
7 hours ago

Qualifications

Looker
Power BI
Data modelling
Tableau
SQL
AI
Communication skills
Analytics

Full Job Description

Consultant – Data & Analytics

Are you passionate about using data, analytics and emerging technologies to solve meaningful business problems?

Synogize is looking for a client-focused Data & Analytics Consultant to join our growing team in Sydney or Melbourne. This is a broad consulting role for someone who enjoys working directly with clients, understanding their challenges and delivering practical data solutions that create measurable business value.

You will work across projects involving data modelling, analytics engineering, business intelligence, cloud data platforms and emerging AI-enabled solutions. Depending on the engagement, you may contribute to requirements gathering, solution design, data transformation, reporting, governance, testing and stakeholder engagement.

Applicants must have unrestricted working rights in Australia and at least three years of relevant Data & Analytics experience.

About You

You are a well-rounded Data & Analytics professional who enjoys combining technical problem-solving with customer engagement.

Put customer outcomes at the centre of your work and take pride in delivering an exceptional client experience.
Enjoy working with stakeholders to understand business challenges and translate them into practical data and analytics solutions.
Are comfortable working across different areas of the data lifecycle rather than specialising in only one technology or discipline.
Can turn business requirements into data models, transformation logic, reports, dashboards and actionable insights.
Communicate technical concepts clearly to both technical and non-technical stakeholders.
Take ownership of your work and proactively manage risks, expectations and delivery outcomes.
Are curious about artificial intelligence, machine learning, generative AI and other emerging technologies.
Enjoy learning new tools, industries and business domains.
Are looking for a long-term opportunity to grow as both a technologist and a consultant.

Key Responsibilities

Customer Success and Consulting

Build trusted relationships with clients and act as a reliable partner throughout project delivery.
Understand client objectives, business processes and challenges before recommending technical solutions.
Translate business requirements into clear and achievable data and analytics outcomes.
Proactively communicate progress, risks, dependencies and decisions.
Support solution adoption by ensuring outputs are useful, understandable and aligned with customer needs.
Identify opportunities to create additional value through data, analytics, automation and AI.

Data and Analytics Delivery

Design, build and maintain scalable data models for reporting, analytics and operational use cases.
Develop and support ETL and ELT pipelines that transform raw data into trusted and usable datasets.
Use SQL-based transformation tools, such as dbt or Coalesce, to develop structured analytics layers.
Build analytics and business intelligence solutions using platforms such as Power BI, Tableau or Looker.
Work with cloud data platforms such as Microsoft Fabric, Snowflake, Databricks or BigQuery.
Implement data quality checks, testing, documentation and governance practices.
Improve the performance, reliability and scalability of data solutions.
Collaborate with data engineers, analysts, data scientists and business stakeholders.

AI and Emerging Technologies

Where relevant, contribute to AI-enabled analytics, automation and decision-support solutions.
Explore how generative AI, machine learning and intelligent automation can improve customer outcomes.
Support the responsible use of AI by considering data quality, governance, privacy, security and explainability.
Stay informed about emerging tools and help assess their practical value for clients.

Required Skills and Experience

At least three years of relevant professional experience in Data & Analytics.
Strong SQL skills and experience working with complex data transformations.
Experience designing analytical or dimensional data models.
A strong understanding of ETL and ELT concepts.
Experience with at least one cloud data platform, such as Microsoft Fabric, Snowflake, Databricks or BigQuery.
Experience with at least one business intelligence platform, such as Power BI, Tableau or Looker.
Strong communication, stakeholder management and problem-solving skills.
Confidence working directly with clients and translating business needs into technical solutions.

About Synogize

Synogize is a specialist Data & Analytics consultancy founded by experienced data professionals.

We help organisations solve business problems and create measurable value by bringing together people, processes, data and technology. Our work spans data strategy, data engineering, business intelligence, cloud platforms, analytics and emerging AI-enabled solutions.

We take a practical, customer-focused approach to consulting. Our team works closely with clients to understand their challenges, design fit-for-purpose solutions and deliver outcomes that are useful, scalable and sustainable.

At Synogize, you will have the opportunity to work across a range of clients, industries and technologies while continuing to develop your technical and consulting capabilities.

Next Steps

If this opportunity excites you, we would love to hear from you. Please apply by submitting your resume.

Company Overview

Please visit https://synogize.io for more information

Quick Apply

Refine Your Search

analytics engineer data & analytics jobs in melbourne vic

Consultant - Data & Analytics

Enterprise Applications Sales Specialist, VMware Engine and SAP (English)

Senior Engineer

Head of GTM Operations

Senior Product Manager

Senior Product Manager

Solution Engineer

Product Manager

Lakebase Specialist Sales

Principal Mining Engineer (Underground)

Solutions Consultant

Systems Engineer

Senior / Principal Mining Consultant (Strategy Optimization)

Data Centre Security Manager , Data Centre Security

Senior Data Analyst

Other jobs to consider

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