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 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 one year 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
- A Degree plus 1 year of Experience or multiple years of experience required
- 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.
Salary: $95,000–$115,000 per annum plus superannuation, depending on skills, qualifications and experience. This is a full-time permanent position. Applicants must be available to work full-time hours as part of this role.
Company Overview
- Please visit https://synogize.io for more information
Pay: $95,000.00 – $115,000.00 per year
Work Location: Hybrid remote in Melbourne VIC
