Data Delivery Coordinator AU IT Hybrid

What Were Looking For

Must-Have Skills

• 3+ years of experience in delivery coordination, project coordination, or business analysis roles within Data & Analytics environments
• Solid understanding of data and analytics concepts including data warehousing, BI reporting, data pipelines, and ETL processes
• Proven experience gathering, documenting, and managing requirements for BI and analytics deliverables
• Hands-on experience working within Agile or Scrum frameworks in data-focused teams
• Strong organisational skills with the ability to track progress, manage backlogs, and drive delivery to deadlines
• Excellent communication skills for working with both technical teams and business stakeholders
• Strong attention to detail with a proactive, follow-through mindset
• Ability to work AEST business hours and observe Australian public holidays
  
  

Nice-to-Haves

• Familiarity with Shape Up methodology (Basecamps approach to shaping, betting, and delivery cycles)
• Exposure to Microsoft Fabric, Azure Data Services, or similar modern data platforms
• Experience using or supporting Power BI (developer or advanced user level)
• Experience using structured requirements frameworks such as CPQQRT or similar
• Relevant certifications such as Scrum Master, CBAP, or PMP
• Experience working with Australian clients or offshore / remote delivery teams
  
  

What Youll Do

As a Data Delivery Coordinator, you will play a critical execution-focused role within a data transformation programme. You will coordinate delivery across Fabric Data Engineers and Power BI Analysts, ensure requirements are clear and standards are followed, and keep data products moving from initiation through to go-live. This role is highly hands-on, delivery-driven, and focused on outcomes rather than strategy.

Key Responsibilities

Delivery Coordination

• Coordinate end-to-end delivery of data products and BI solutions from kick-off to production release
• Track progress, follow up on actions, and hold team members accountable to delivery commitments
• Facilitate agile ceremonies including stand-ups, sprint planning, and retrospectives
• Identify risks and blockers early, escalating issues before they impact delivery timelines
• Maintain delivery backlogs, project documentation, and clear status reporting
  
  

Business Analysis & Requirements

• Gather, structure, and document requirements using the CPQQRT framework (Context, Purpose, Quality, Quantity, Resources, Time)
• Ensure BI dashboards and reporting requirements align with agreed templates and delivery standards
• Work with stakeholders to clarify scope, priorities, acceptance criteria, and delivery expectations
• Act as a bridge between business stakeholders and technical data team members
  
  

Team & Stakeholder Support

• Support Fabric Data Engineers and Power BI Analysts with clear priorities and well-defined requirements
• Coordinate closely with the Australia-based AI & Analytics Lead on progress, risks, and delivery status
• Ensure alignment between business needs and technical execution throughout the delivery lifecycle
  
  

Why Join Us

• Hands-on role within a live data and analytics transformation programme
• Opportunity to work closely with experienced Fabric Data Engineers and Power BI Analysts
• Project-based contract with genuine long-term potential
• Exposure to modern data platforms, agile delivery practices, and Australian enterprise clients
  
  

About The Team

You will work as part of a distributed Data & Analytics team supporting an Australian client. The team operates in an agile delivery model and focuses on delivering practical, high-quality data products that drive business value.

Position Impact & Collaboration

• No direct reports, but strong accountability for delivery coordination and outcomes
• Works closely with Fabric Data Engineers, Power BI Analysts, and business stakeholders
• Reports into the clients AI & Analytics Lead based in Australia
• Acts as the central point of coordination ensuring delivery momentum and clarity
  
  

Success Measures

• On-time delivery of data products and BI solutions
• Clarity and quality of documented requirements
• Smooth coordination across technical and business teams
• Reduction in delivery risks and unresolved blockers
• Positive stakeholder feedback on communication, execution, and delivery reliability

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