Company
IT
DataandAnalyticsPracticeCoordinator-Senior
Neural analysis suggests this role is
optimal for Senior candidates.
“Data and Analytics Practice Coordinator - Senior. Skills: Data engineering, Data analytics, AI solutions, Presales support. Support sales teams. Support consulting teams”
What You'll Achieve.
Deliver measurable value
Industry & Context.
Solutions-oriented approach
What They're Looking For.
Must Have
6+ years experience, Consulting experience, Client-facing experience, SQL proficiency, Python experience, PySpark experience
Nice to Have
Experience with backlog tools, Experience with product management tools, Exposure to capability development programs, Exposure to communities of practice, Exposure to internal training initiatives, Understanding of resource planning, Understanding of utilisation reporting, Understanding of consulting operations, PhD preferred
What You'll Do.
Support consulting teams
Respond to opportunities
Develop statements of work
Develop presentation materials
Participate in discovery sessions
Participate in stakeholder discussions
Shape solution approaches
Translate business needs
Develop effort estimates
Develop resource plans
Develop engagement approaches
Maintain presales assets
Improve presales assets
Coordinate IP portfolio
Prioritise IP backlog
Improve contributions
Support onboarding contributors
Support engagement contributors
Contribute to documentation
Contribute to technical enhancements
Develop practical guidance
Support operational processes
Assist with workforce visibility
Assist with skills mapping
Assist with capability development
Maintain skills matrices
Maintain knowledge matrices
Analyse utilisation trends
Analyse performance trends
Contribute to practice improvement
Provide client support
Conduct technical reviews
Conduct advisory activities
Assist with specialist expertise
How You'll Work.
Team & Collaboration
Client engagements; Cross-functional teams
Communication Scope
Written communication; Verbal communication; Stakeholder engagement; Client communication
Process & Methodology
Backlog management, Product management
Full Job Description
## About the Client You will be working with an award-winning Data & AI consultancy that partners with leading organisations to deliver modern data, analytics, and AI solutions. The organisation is recognised for its strong technology partnerships, innovative approach, and commitment to helping clients unlock value through data-driven transformation. The business fosters a collaborative and supportive culture where continuous learning, knowledge sharing, and professional growth are highly valued. ## Ideal Profile Experience 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. Technical Expertise 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. Desirable Skills 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. Certifications (Preferred)
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