Senior Data and Analytics Practice Coordinator

Role Overview

• Support sales and consulting teams in responding to new business opportunities through proposals, statements of work, and presentation materials.
• Participate in discovery sessions and stakeholder discussions to gather requirements and shape solution approaches.
• Translate business needs into practical data and analytics solutions leveraging modern Microsoft technologies.
• Develop effort estimates, resource plans, and engagement approaches.
• Maintain and improve reusable presales assets, templates, case studies, and capability materials.
• Coordinate and manage the practice’s intellectual property portfolio, including accelerators, frameworks, internal tools, and reusable assets.
• Prioritise and maintain the IP backlog, ensuring initiatives deliver measurable value.
• Review and improve contributions from consultants and engineers to ensure quality, consistency, and reusability.
• Support onboarding and engagement of contributors across the practice.
• Contribute directly to documentation, design, and technical enhancements where required.
• Lead targeted R&D initiatives focused on emerging Data & AI technologies.
• Evaluate and implement opportunities to leverage AI tools that enhance consulting, engineering, proposal development, estimation, and delivery outcomes.
• Share learnings, demonstrations, and best practices across the broader team.
• Develop practical guidance and playbooks that enable adoption of new capabilities.
• Support operational processes including timesheet reviews, utilisation monitoring, and resource planning activities.
• Assist with workforce visibility, skills mapping, and capability development initiatives.
• Maintain skills and knowledge matrices to identify development opportunities and capability gaps.
• Analyse utilisation and performance trends and provide insights to practice leadership.
• Contribute to ongoing practice improvement initiatives and operational excellence.
• Provide occasional support to client engagements through technical reviews, advisory activities, workshops, and solution scoping.
• Assist with specialist expertise during periods of increased delivery demand.

Requirements

• 6+ years of experience in data engineering, analytics, or data consulting with a strong delivery background.
• Experience within consulting, professional services, or client-facing environments.
• Exposure to presales activities, proposal development, solution scoping, and effort estimation.
• Experience contributing to or managing internal products, accelerators, frameworks, or intellectual property initiatives.
• Proven ability to operate effectively in a remote and collaborative environment.
• Strong understanding of the Microsoft Data & AI ecosystem, including Microsoft Fabric, Azure Data Services, and related technologies.
• Practical knowledge of data engineering and analytics concepts, including data modelling, ETL/ELT processes, governance, and modern lakehouse or warehouse architectures.
• Proficiency in SQL and working knowledge of Python and/or PySpark.
• Familiarity with CI/CD practices and tools such as Azure DevOps or GitHub Actions.
• Experience leveraging AI-powered tools to improve productivity, delivery quality, and operational efficiency.
• Experience with backlog and product management tools such as Azure DevOps Boards or Jira.
• Exposure to capability development programs, communities of practice, or internal training initiatives.
• Understanding of resource planning, utilisation reporting, or consulting operations.
• Familiarity with Power BI or similar reporting and analytics platforms.
• Microsoft Certified: Fabric Data Engineer Associate and/or Fabric Analytics Engineer Associate (preferred).
• Microsoft Certified: Azure Data Engineer Associate (preferred).
• Microsoft Certified: Azure Solutions Architect Expert (preferred).
• Databricks certifications (preferred).
• Other relevant Data & AI certifications (preferred).

Tech Stack

• Azure
• ETL
• PySpark
• Python
• SQL

Benefits

• 💰 Get paid in Australian Dollars
• 🏥 Medical insurance from day one for you + spouse (or parents if unmarried)
• 🩺 Generous OPD coverage from doctor visits to all your medical needs
• 🏡 Home office setup allowance to build your ideal workspace
• 🌐 Internet allowance to keep you connected
• 💪 Gym & wellness allowance to stay fit and balanced
• 🎉 Work hard, play hard – regular team events & engagement activities
• 🧠 Diji Assist – Mental health & counseling support when you need it
• 📚 We invest in you – reimbursement for industry certifications
• 🗣️ Open-door culture – your ideas and feedback always matter
• 🌍 Flexible work – home or office, wherever you do your best work
• 🏆 Rewards & recognition that actually recognize you
• 🥳 Great christmas & financial year-end parties to unwind with your loved ones