Dijital Team
11 - 50 employees
Dijital Team is a smarter offshoring solution for IT teams. We enable you to build a high performing IT team that will decrease your costs and increase your efficiency - accelerating the growth of your business. We take care of the team so you can take care of the rest.
Senior Data and Analytics Practice Coordinator
🔥 0 minutes ago
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Dijital Team
11 - 50 employees
Dijital Team is a smarter offshoring solution for IT teams. We enable you to build a high performing IT team that will decrease your costs and increase your efficiency - accelerating the growth of your business. We take care of the team so you can take care of the rest.
📋 Description
• 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).
🏖️ 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
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