About Us – Fan Focused. Results Driven
Gemba is a leading organisation in Sports and Entertainment across Communications, Insights, Strategy and Data & Analytics. Gemba's name is inspired by the Japanese origins of the word, to find the source of the truth. Since **** we have demonstrated a passion for understanding fans. In a sport and entertainment world that is becoming increasingly competitive and fragmented, fan insight is critical. We deliver results for our clients. Whether it be better commercial outcomes or driving greater participation, this is our ultimate proof point, demonstration of shaping a better future for sport & entertainment.
Job Summary
In this role, you will be a key part of Gemba's Data & Analytics team, collaborating closely with our Strategy and Insights teams to design, build and deliver data solutions that drive commercial and operational outcomes for clients across sport and entertainment. Data & Analytics at Gemba is more than dashboards and reports. Itisabout helping clients unlock the full potential of their data throughcutting-edgetools, tailored solutions, and actionable insights.You'llplay a pivotal role in driving organisational change, building strong relationships with senior stakeholders, and contributing to thought leadership in the sports and entertainment industry. This is an exciting chance tojoin a leading sport and entertainment agency and apply your data engineering experience to drive commercial outcomes for some of the biggest sports organisations in Australia and globally. If you have 3-5 years of experience in data/analytics engineering, technical skills in Cloud (Google Cloud Platform, Microsoft Fabric and Azure desirable), Python, and SQL, and an ability to work a fast-paced environment with diverse data sets, then look no further. You will be expected to work with senior stakeholders at our clients and sostrong communicationboth written and verbal is important in this role.
About The Role
You will be working within Gemba's Data & Analytics team. You will be responsible for applying your technical and analytical skills to work with a variety of data sources, streamline processes, build robust data warehouses/lakes, implement ETL pipelines,



and deliver best practice data engineering that drives commercial outcomes for our clients. The role sits at the intersection of data engineering and analytics delivery: building reliable data infrastructure, shaping analysis-ready datasets, and helping turn complex data into practical outputs that inform client decisions.
Key Accountabilities
Consult with clients to understand their business challenges and design data engineering solutions to meet their needs
Extract and store data from multiple sources, build scalable data pipelines and warehouses, and develop technical data solutions
Design and maintain practical data models, curated datasets and data marts that support analytics, reporting, dashboarding and client decision-making
Support the development of visualisations/dashboards and reports
Identify opportunities for automated data solutions which reduce manual processes
Help to develop and maintain high quality datasets to meet user requirements
Scope and develop best practice recommendations for data technology, integrations, and architecture
Oversee and manage Gemba's internal data tech stack including GCP, Power BI, dbt and GitHub
Identify opportunities to leverage AI, automation and emerging technologies to improve data workflows, analytical processes and client outcomes
Leverage Gemba's first and third-party data to develop digital and analytics products
Assist with the analyses of various datasets to help uncover trends and develop data assets
Support the Strategy, Insights, Sponsorship & Client Management teams with ad-hoc analyses and data modelling
Who are we looking for?
This key role requires a Data/Analytics Engineer with 3-5 years of experience (experience in the sports industry is a bonus) with a focus on delivering both internal and client solutions. Possessing technical skills in areas such as Python,



SQL, BI tools, as well as experience with Cloud technologies, including Azure / Microsoft Fabric is mandatory. Experience with other Cloud technologies and platforms like Google Cloud Platform (GCP) or Amazon Web Services (AWS) is highly regarded. Additionally, you'll require a good understanding of general business principles, with relevant tertiary qualifications in IT, statistics, mathematics, computer science, engineering, or similar preferred.
Additional Skills And Experience Required Include
Strong analytical and problem-solving skills
Advanced data manipulation and processing skills
Data pipeline and orchestration tooling such as dbt, Databricks, Microsoft Fabric and/or Airflow
Experience designing robust data models, including relational database structures, data marts and curated datasets that support analytics, reporting and client use cases
Strong understanding of relational database architecture
Strong understanding of data quality control measures
The ability to understand and interpret business/marketing information and research
Being confident in dealing with clients including presenting report findings
Strong written and verbal communication skills to deliver key insightsExperience with research survey data and/or digital marketing automation platforms is an advantage
Experience leveraging AI-assisted development, analytics and automation tools to improve data engineering workflows, productivity and client outcomes.
A technology-agnostic mindset, with curiosity and willingness to learn new tools, platforms and approaches as client and project needs evolve
Last, but not least, a passion for Sport and Entertainment!
Note: All candidates require working rights of this country to perform the role.
Gemba is an Equal Opportunity Employer. We value diversity and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected characteristics or similar.
#J-*****-Ljbffr

📌 Data & Analytics Engineer (Melbourne)
🏢 Gemba
📍 Melbourne