Project Deadlines
Critical analytics, reporting, and migration projects require additional delivery capacity to stay on track.
Analytics Team Extension
Extend Your Analytics Team With Experienced Specialists
Add analytics engineering, BI, reporting, migration, and AI reporting expertise without the time and risk of traditional hiring.
BigQuery
dbt
Tableau
Power BI
AI Reporting
Client Team
Business owners
Data team
Project delivery
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Emma Infotech Specialists
Analytics engineers
BI consultants
Migration experts
Integrated Delivery Team
Productive specialists aligned to your standards, tools, governance, and delivery priorities.
BigQuerydbtTableauPower BIAI ReportingMigration
Why organisations use team extension
When Internal Teams Need Additional Capability
Specialist Skills
Internal teams may not have immediate BigQuery, dbt, Tableau Cloud, Power BI, or AI reporting expertise.
Temporary Gaps
Maternity leave, resignations, hiring delays, and internal transfers can create short-term capability gaps.
Transformation Programs
Improvement programs often need specialist resources across data modelling, dashboards, governance, and migration.
Faster Delivery
Experienced specialists can accelerate delivery when project teams need focused execution.
Reduced Hiring Risk
Access specialist analytics capability without permanent recruitment commitments or long hiring cycles.
Roles we provide
Analytics Specialists Available
Analytics Engineer
- BigQuery
- dbt
- SQL
- Data modelling
- Testing
- Documentation
Tableau Consultant
- Dashboard development
- Performance tuning
- Governance
- Administration
- Tableau Cloud
Power BI Consultant
- Semantic modelling
- DAX
- Reporting
- Governance
- Optimisation
BI Developer
- Dashboard delivery
- KPI development
- Executive reporting
- Operational reporting
AI Reporting Specialist
- AI-generated reporting
- Management commentary
- Reporting assistants
- AI reporting workflows
Tableau Cloud Migration Specialist
- Assessment
- Planning
- Migration
- Validation
- Governance
Engagement models
Flexible Engagement Models
Dedicated Resource
Ideal use cases: focused project delivery, team capacity gaps, or a defined role in an ongoing program.
Engagement style: one specialist works as an extension of your team. Governance approach: regular delivery reviews, agreed backlog, and quality checkpoints. Communication model: joins your standups, sprint rituals, or project meetings.
Shared Specialist
Ideal use cases: part-time expertise, advisory support, performance tuning, governance, or specialist reviews.
Engagement style: flexible allocation across agreed priorities. Governance approach: scoped work packages and clear weekly outputs. Communication model: scheduled working sessions, issue reviews, and status updates.
Project Team
Ideal use cases: Tableau, Power BI, BigQuery, dbt, AI reporting, or migration initiatives needing multiple skills.
Engagement style: a small specialist team aligned to project milestones. Governance approach: project plan, delivery cadence, risks, dependencies, and acceptance criteria. Communication model: project-level reporting with working-level collaboration.
Managed Delivery
Ideal use cases: when you need outcomes delivered but do not want to manage day-to-day specialist execution.
Engagement style: Emma Infotech manages delivery while providing specialist resources. Governance approach: agreed deliverables, quality standards, reviews, and handover. Communication model: single accountable delivery rhythm with clear escalation paths.
How we engage
Our Team Extension Process
Requirements Review
Understand project scope, skills required, duration, delivery constraints, and expected outcomes.
Outputs: resource profile and capability requirements.Specialist Matching
Match specialists based on technical skills, project context, communication style, and delivery requirements.
Outputs: proposed resource profile and availability.Onboarding
Integrate specialists into client delivery processes, tools, security, standards, and working rhythms.
Outputs: access setup, working agreements, and delivery expectations.Delivery
Specialists contribute to project activities, technical tasks, reporting deliverables, documentation, and knowledge transfer.
Outputs: project work, knowledge transfer, and documentation.Review
Review delivery quality, progress, collaboration, risks, and improvement opportunities.
Outputs: progress updates and improvement actions.Beyond delivery
More Than Just Additional Resources
Technical Mentoring
Support internal team members with modelling, dashboard, reporting, and delivery practices.
Architecture Reviews
Review data models, BI architecture, reporting layers, migration designs, and implementation patterns.
Governance Support
Help define ownership, standards, documentation, permissions, certification, and deployment practices.
Knowledge Transfer
Leave the client team stronger through documentation, pairing, handover, and working sessions.
Process Improvement
Improve delivery cadence, backlog clarity, QA practices, reporting workflows, and operating model maturity.
Reporting Improvement
Support broader improvement across dashboards, semantic layers, metrics, AI reporting, and cloud migration.
Outcomes
What team extension should improve
Faster Delivery
Increase delivery capacity for priority analytics, BI, migration, and reporting programs.
Access To Specialist Skills
Bring in BigQuery, dbt, Tableau, Power BI, AI reporting, and migration capability when needed.
Reduced Hiring Risk
Use experienced specialists without committing to a permanent hire before the need is proven.
Flexible Capacity
Scale support up or down based on project demand, timelines, and internal capacity.
Knowledge Transfer
Improve internal team capability through documentation, pairing, mentoring, and handover.
Improved Project Success
Strengthen delivery quality, governance, standards, and technical execution.
FAQ
Analytics Team Extension FAQ
How quickly can resources start?
Timing depends on skills required, scope, availability, and onboarding needs. We start with a requirements review so the specialist profile is clear before matching.
Can resources work with our team?
Yes. The service is designed for specialists to integrate into existing client delivery processes, tools, meetings, and governance practices.
Can engagements be part-time?
Yes. Shared specialist and advisory models can provide part-time support for specific expertise, reviews, or defined work packages.
Can we scale up or down?
Yes. Engagements can be shaped around changing project demand, milestone pressure, or capability gaps.
How is knowledge transfer handled?
Knowledge transfer is handled through documentation, working sessions, pairing, walkthroughs, code reviews, model reviews, and handover notes.
What technical skills are available?
Skills include BigQuery, dbt, SQL, Tableau, Tableau Cloud, Power BI, DAX, reporting governance, AI reporting, dashboard optimisation, and migration support.
Can resources support existing projects?
Yes. Specialists can join existing projects to support delivery, review work, fill capability gaps, or accelerate specific project streams.
How is performance managed?
Performance is managed through agreed expectations, delivery reviews, progress updates, feedback loops, and clear outputs.