Your Dedicated data analytics team - without the hiring overhead
Numlytics embeds a certified dedicated data analytics team directly into your business - Power BI developers, data engineers, Microsoft Fabric architects, and SQL specialists working as a natural extension of your organisation. It's how growing teams hire a dedicated Power BI developer or a full offshore data analytics team without the recruitment cycle.
Whether you need one senior analyst or a full data platform squad, we match the right skills to your roadmap and scale them up or down as priorities shift.
Hiring data talent is slow, expensive, and uncertain
The average time to hire a senior Power BI developer in the US or UK is 3–5 months. By the time they're onboarded, your data roadmap has moved on and you've spent £80,000–£120,000 per year on a single resource with a single skillset.
A dedicated data analytics team from Numlytics gives you a certified, bench-backed squad - Power BI developers, data engineers, Fabric architects, and SQL analysts deployed to your project within days, not months. It's the same model behind most successful data analytics staff augmentation and offshore data analytics team engagements.
The model scales with your workload. One analyst for BAU reporting. A full team for a Microsoft Fabric migration. A Power BI governance overhaul. Whatever the brief, we match the resource to the outcome - not a headcount target.
Every data role your organisation needs
From a single Power BI developer to a full data platform engineering team - we cover every function in the modern data stack.
Builds and maintains Power BI reports, dashboards, and semantic models that business teams actually use. Handles DAX, data modelling, RLS, and deployment pipelines.
Designs and builds the pipelines that move, transform, and deliver data. From ERP source to OneLake, covering ingestion, transformation, orchestration, and monitoring.
Designs the end-to-end Fabric architecture - Lakehouse, Warehouse, Real-Time Intelligence, OneLake organisation, and workspace governance strategy.
Queries, transforms, and models data at the database layer. Writes optimised T-SQL, builds stored procedures, and supports reporting teams with clean, performant data layers.
Builds predictive models, Copilot integrations, and machine learning pipelines on your existing data estate. Bridges the gap between raw data and actionable intelligence.
Implements the governance framework your data estate needs data lineage, sensitivity labels, Purview integration, data quality rules, and ownership policies.
From brief to active team in days
No lengthy procurement. No CV sifting. You tell us what you need, we deploy the right resource.
We understand your data stack, team structure, priorities, and the specific outcomes you're trying to achieve. 30 minutes - no obligation.
We recommend the exact role mix, seniority, and engagement model matched to your roadmap and budget. Delivered within 24 hours.
Your dedicated resource is introduced, given access, and integrated into your workflow, Slack, Jira, Teams, or however your team operates.
Weekly sprints, fortnightly reviews, and a named account lead ensure quality stays high and the roadmap keeps moving with full flexibility to scale.
Three ways to work with us
Choose the model that matches how your organisation prefers to engage from a single embedded developer to a full managed analytics function.
One certified resource - Power BI developer, data engineer, or analyst working directly within your team, on your tools, following your processes.
- Dedicated to your organisation only
- Integrated into your Jira, Azure DevOps, or Teams
- UK / US / AU timezone overlap available
- Replace or scale up at any time
A named squad of 3–8 specialists architect, engineers, BI developers, and a governance lead aligned to your data platform roadmap for 6–12+ months.
- Architect + engineers + BI developers
- Weekly sprint ceremonies included
- Named account lead and escalation path
- Scales with your programme
We run your data analytics function end-to-end from infrastructure to reports as a fully managed service. You consume insights. We handle everything else.
- Full ownership of your data estate
- SLA-backed delivery and uptime
- Monthly reporting and roadmap review
- Exit-ready documentation always current
The full modern data stack - certified
Our team holds active certifications across the Microsoft data platform and broader data engineering ecosystem. Every technology below is something we use daily, not just list on a CV.
What makes a Numlytics team different
Five reasons data leaders choose us for staff augmentation, dedicated squads, and managed analytics and the use cases where we get called in most.
Every resource has a named backup on our bench. If your lead developer is unavailable, work continues without interruption or renegotiation.
Our team holds active certifications across Azure, Microsoft Fabric, and Power BI, not expired credentials listed on a profile.
Every piece of work is documented as it's built. When the engagement ends or your team expands, everything is ready for handover without a knowledge drain.
Our India-based team operates at 40–60% of equivalent US/UK contractor rates, with overlapping business hours and account managers in your timezone.
Monthly rolling agreements on most engagements. Scale up for a migration sprint. Scale down post-delivery. No 12-month minimum unless you want one.
Moving from legacy SQL, Azure Synapse, or on-premises data warehouses to Fabric with a full engineering team to design, build, and validate the migration.
Rationalising a sprawling Power BI estate eliminating duplicate reports, rebuilding certified datasets, and implementing governance across hundreds of dashboards.
Connecting Dynamics 365, Salesforce, SAP, or NetSuite to Fabric or Power BI - so finance, operations, and sales report from a single version of the truth.
Preparing your data estate for Copilot and AI analytics clean semantic models, sensitivity labels, and the governance framework that makes AI safe to deploy.
An embedded Power BI developer or analyst handling ongoing report requests, dashboard maintenance, and data model updates freeing your internal team for strategic work.
Transparent, flexible pricing
All engagements are quoted based on role seniority, team size, and duration. The ranges below are indicative exact pricing delivered within 24 hours of your brief.
- One dedicated resource
- Power BI / Data Engineer / Analyst
- Integrated into your team and tools
- Monthly rolling - no lock-in
- Timezone overlap included
- 3–8 specialist resources
- Architect + Engineers + BI Developers
- Weekly sprints and delivery reviews
- Named account lead
- Scales up or down monthly
- Full analytics function managed
- Infrastructure to dashboards
- SLA on uptime and delivery
- Monthly roadmap reviews
- Exit documentation always ready
Frequently Asked Questions
How quickly can a dedicated data analyst or developer start?
Most engagements are active within 5 business days of agreeing the brief. For specialist roles - senior Fabric architects or ML engineers lead time is typically 7–10 days. We maintain a bench of pre-vetted resources to avoid the hiring delays that come with direct employment.
What is staff augmentation for data analytics?
Staff augmentation means embedding an external resource - a Power BI developer, data engineer, or analyst directly into your team. They work on your projects, follow your processes, and use your tools. You get the skills without the permanent headcount, recruitment cost, or notice period.
Can you provide a dedicated Power BI developer for ongoing support?
Yes, this is one of our most common engagements. A dedicated Power BI developer handles your report backlog, maintains existing dashboards, builds new semantic models, and responds to ad hoc requests. Engagements typically run on a monthly retainer with a defined sprint cadence.
How does your offshore data analytics model work across timezones?
Our team is based in Vadodara, India, with a timezone that overlaps with UK business hours in the morning and US East Coast hours in the afternoon. We operate daily stand-ups, async delivery via Jira or Azure DevOps, and a named account manager in your timezone for escalation.
Do you offer Microsoft Fabric developers specifically?
Yes. We have Microsoft Fabric architects and engineers available for both project-based and long-term engagements covering Lakehouse design, Fabric pipeline development, OneLake organisation, Real-Time Intelligence, and Power BI DirectLake implementation.
What is the minimum engagement length?
Most staff augmentation engagements run on a monthly rolling basis with 30 days notice. Dedicated squad and managed analytics engagements are typically 3–12 months, with the option to extend. We don't enforce minimum terms that don't serve the project.
What data analytics certifications does your team hold?
Our team holds active Microsoft certifications including Azure Data Engineer Associate (DP-203), Azure AI Engineer (AI-102), Power BI Data Analyst Associate (PL-300), Fabric Analytics Engineer (DP-600), and Azure Solutions Architect. Certifications are renewed and verified, not historic.
Ready to extend your data team without the hiring headache?
Tell us what you're building - a Fabric migration, a Power BI overhaul, or ongoing analytics support. We'll match the right team, send a proposal within 24 hours, and have resources active within a week.