Consultant - Data & Analytics

synogize

City of Melbourne

Hybrid

AUD 95,000 - 115,000

Full time

14 days+

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Job summary

Synogize is seeking a client-focused Data & Analytics Consultant in Melbourne to deliver practical data solutions that drive measurable business value. You’ll work across data modelling, analytics engineering, BI, cloud platforms and AI-enabled solutions, collaborating with clients to gather requirements and deliver impactful outcomes.

The role involves designing scalable data models, ETL/ELT pipelines, and analytics layers, plus governance and stakeholder engagement.

Qualifications

  • Degree plus 1 year of experience or additional years of experience.
  • Strong SQL skills and experience with complex data transformations.
  • Experience designing analytical or dimensional data models.
  • Strong understanding of ETL/ELT concepts.
  • Experience with at least one cloud data platform (e.g., Fabric, Snowflake, Databricks, BigQuery).
  • Experience with at least one BI platform (Power BI, Tableau, Looker).
  • Excellent communication, stakeholder management and problem-solving skills.
  • Confidence translating business needs into technical solutions.

Responsibilities

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

Skills

SQL
Data Modeling
ETL/ELT
Stakeholder Management
Business Communication
Client Engagement
AI & Emerging Tech Awareness

Education

Degree + 1 year experience

Tools

dbt
Coalesce
Power BI
Tableau
Looker
Microsoft Fabric
Snowflake
Databricks
BigQuery

Job description

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 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
  • 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.

Company Overview
  • Please visit https://synogize.io for more information

Salary: $95,000–$115,000 per annum plus superannuation, depending on skills, qualifications and experience.

Pay: $95,000.00 – $115,000.00 per year

Work Location: Hybrid remote in Melbourne VIC

This is a full-time permanent position. Applicants must be available to work full-time hours as part of this role.

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