Senior Data and Analytics Practice Coordinator

Dijital Team

Senior Data & Analytics Practice Coordinator at an award-winning consultancy, enhancing operational efficiency, supporting presales, and managing intellectual properties.

Posted 7/14/2026full-timeRemote • 🇱🇰 Sri LankaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics, with a strong focus on leveraging Microsoft Data & AI technologies to deliver impactful solutions. Proven ability to manage presales activities, develop proposals, and enhance consulting practices through effective stakeholder engagement and resource planning.

Highest-signal resume keywords

Data EngineeringMicrosoft Data & AI EcosystemSQL ProficiencyPresales ActivitiesAzure DevOps

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingETL/ELT ProcessesGovernanceLakehouse ArchitectureWarehouse ArchitecturePythonPySparkAI-Powered ToolsBacklog ManagementProduct Management

Soft Skills

Excellent Communication SkillsStakeholder EngagementOrganizational SkillsMentoringSolutions-Oriented Approach

Tools & Technologies

Microsoft FabricAzure Data ServicesPower BIAzure DevOps BoardsJira

Certifications & Qualifications

Microsoft Certified: Fabric Data Engineer AssociateMicrosoft Certified: Fabric Analytics Engineer AssociateMicrosoft Certified: Azure Data Engineer AssociateMicrosoft Certified: Azure Solutions Architect ExpertDatabricks Certifications

Industry Keywords

ConsultingProfessional ServicesClient-Facing EnvironmentsPresales ActivitiesIntellectual Property Management

Tech Stack

Tools & technologies

AzureETLPySparkPythonSQL

About the role

Key responsibilities & impact

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.
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.
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

What you’ll need

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.
Certifications (Preferred):
- Microsoft Certified: Fabric Data Engineer Associate and/or Fabric Analytics Engineer Associate.
- Microsoft Certified: Azure Data Engineer Associate.
- Microsoft Certified: Azure Solutions Architect Expert.
- Databricks certifications.
- Other relevant Data & AI certifications.
Excellent written and verbal communication skills.
Strong stakeholder engagement and client communication capabilities.
Highly organised with the ability to manage multiple priorities simultaneously.
Product and backlog management mindset focused on continuous improvement and business value.
Passion for mentoring, coaching, and enabling others to succeed.
Proactive, pragmatic, and solutions-oriented approach to work.

Benefits

Comp & perks

💰 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