›› Free Data Maturity Scorecard — Discover your analytics score in 3 minutes MY SCORECARD →
Offshore Analytics Teams

Managed Analytics Services Your Outsourced Analytics Function

Our managed analytics services give you a fully operational offshore analytics function - without the cost of building one in-house. Numlytics runs your Power BI reporting, data pipelines, and governance as a single managed service, with a dedicated pod that knows your data, your tools, and your business.

  • Fully operational from Week 2
  • Dedicated pod - not a shared resource pool
  • Covers BI, engineering, governance & reporting
  • 60% lower cost vs building an in-house team
Service Stats
Wk 2
Service go-live from
contract signature
50%
Cost saving vs
in-house analytics team
8+
Analytics disciplines
covered in one service
100%
Dedicated to your
account - no sharing
Tech Stack Power BI Microsoft Fabric dbt Snowflake Azure Databricks Python SQL Tableau Apache Spark
Managed Analytics

An Always-On Analytics Function Built Around Your Business

End-to-end analytics ownership on a monthly retainer - BI, pipelines, governance and insights delivered by your dedicated pod.

A managed analytics service replaces the need for an internal analytics team - or fills the gaps in one. Numlytics takes ownership of your entire analytics function: dashboards, data pipelines, governance, reporting, and ad-hoc analysis - all delivered by a dedicated offshore team on a predictable monthly retainer.

Our outsourced analytics team model is designed for mid-market and enterprise organisations in the US, UK, and Australia that need a full analytics function without the recruitment, management, and retention overhead of building one in-house.

Sound Familiar?
"We have dashboards, but no one owns them - they're always out of date"
"We spend more time fixing data than actually analysing it"
"We can't justify a full analytics hire but we need more than a freelancer"
"Our board is asking for data-driven reporting we don't have capacity to build"
Service Components

Six Managed Services. One Analytics Function.

Every component is owned, monitored, and delivered by your dedicated Numlytics pod from Day 1.

01
Managed BI & Reporting

We own your entire Power BI environment - dashboard development, maintenance, semantic model governance, and scheduled refresh monitoring. Weekly reports delivered to stakeholders without you lifting a finger.

  • KPI dashboards & executive report delivery
  • Semantic model & dataset governance
  • Refresh monitoring & issue alerting
02
Managed Data Engineering

Your data pipelines, ETL jobs, and data warehouse are maintained, monitored, and evolved by our engineering team. No more broken pipelines or stale data landing silently at 2am.

  • Pipeline build, monitoring & recovery
  • Data warehouse maintenance & optimisation
  • Data quality checks & automated alerting
03
Analytics & Insights Delivery

Beyond reporting, our analytics team delivers regular insight packs - trend analysis, anomaly flags, and proactive commentary - so your leadership team gets answers, not just charts.

  • Monthly & quarterly insight packs
  • Anomaly detection & root-cause analysis
  • Ad-hoc analysis within agreed SLA
04
Data Governance Management

We manage your data catalogue, access controls, lineage documentation, and policy compliance - so your analytics estate stays audit-ready without governance becoming a full-time internal job.

  • Data catalogue & lineage maintenance
  • Access control & GDPR compliance
  • Policy documentation & audit exports
05
Self-Service BI Enablement

Our team designs, builds, and maintains the self-service BI layer your business users actually adopt - with training materials, certified datasets, and a governed report library.

  • Governed self-service report layer
  • Business user training & documentation
  • Certified dataset maintenance
06
Proactive Monitoring & Alerting

We don't wait for you to notice problems. Our team monitors data freshness, pipeline health, and report accuracy - resolving issues proactively before they affect your business decisions.

  • 24/7 pipeline & refresh monitoring
  • Automated data quality alerting
  • Monthly service health reports
Our Process

From Estate Audit to First Deliverable - in 3 Weeks

Four structured steps from analytics audit to a fully live managed service.

01
Analytics Estate Audit

A 5-day read-only audit of your existing reports, pipelines, data sources, and governance posture - producing a full service handover blueprint before we touch anything.

⏱ Week 1
02
Pod Assignment & Onboarding

Your dedicated pod - Power BI developer, data engineer, analytics lead - is assigned and onboarded into your tools, data model, and stakeholder map. No ramp time.

⏱ Week 2
03
Service Mobilisation

The managed service goes live. Reporting cadences are agreed, pipeline ownership transfers, and your team starts receiving regular deliverables within the first sprint.

⏱ Week 3–4
04
Continuous Delivery & Optimisation

Monthly planning cycles align delivery to your priorities. Quarterly reviews expand scope, retire unused assets, and ensure the service evolves with your organisation.

⏱ Ongoing

Technologies Our Managed Service Covers

Power BI
Microsoft Fabric
dbt
Snowflake
Azure Data Factory
Databricks
Python
SQL Server
Tableau
Apache Spark
GitHub / Azure DevOps
Microsoft Teams / Slack
Why Numlytics

Six Reasons Enterprises Choose Our Managed Analytics Service

Dedicated pod, full ownership, transparent delivery - from the first week.

Dedicated Pod - Not a Shared Team
You get a named, dedicated analytics pod assigned to your account - not a rotating pool of consultants. Your team learns your data, your business, and your stakeholders.
Live in 2 Weeks
From contract signature to first deliverables in 14 days. We handle the audit, onboarding, and service mobilisation - value in week two, not month three.
End-to-End Ownership
We own the full analytics stack - reporting, pipelines, governance, and insights. One point of accountability, zero coordination overhead on your side.
60% Lower Cost Than In-House
A fully operational analytics function at a fraction of the cost of recruiting and retaining an internal team - with no NI, benefits, or attrition risk.
Transparent Monthly Reporting
Every month you receive a service health report - deliverables completed, issues resolved, pipeline uptime, and priorities for the next cycle. Full visibility, always.
Enterprise Compliance Built In
GDPR-compliant processes, NDAs, data handling agreements, and IP assignment included on every engagement. Audit-ready documentation maintained throughout.
★★★★★

"We were a 400-person financial services firm with three Power BI reports that nobody trusted and a data engineering backlog nobody owned. We signed with Numlytics on a managed service basis and within a month we had clean pipelines, a governed semantic model, and a weekly dashboard pack landing in leadership inboxes every Monday. Six months in, our CDO uses our analytics output in every board pack. I genuinely don't know how we operated without it."

ST
Sarah Thornton
Chief Data Officer, Vantage Capital Partners  🇦🇺 Australia
FAQ

Common Questions About Managed Analytics

Everything you need to know before engaging Numlytics as your managed analytics partner.

Get Free Consultation →
A managed analytics service is an outsourced arrangement where an external team takes full operational ownership of your analytics function - including BI reporting, data pipelines, data governance, and insight delivery - on a monthly retainer. Unlike project-based consulting, the service runs continuously and evolves with your business.
In staff augmentation, you direct embedded resources day-to-day. In a managed analytics service, Numlytics owns the delivery end-to-end - we manage the team, the priorities, and the output quality. You define business objectives; we handle all execution and coordination.
We target a 2-week go-live from contract signature. Week 1 is an analytics estate audit; Week 2 is team onboarding and tooling setup. First deliverables - reports, pipeline handover, or insight packs - are typically in your hands by end of Week 3.
A standard pod includes a Power BI developer, a data engineer, and an analytics lead. Larger retainers may include a data architect or ML engineer. Pod composition is agreed during scoping and can flex as your needs change.
Our minimum term is 3 months. Most clients move to a rolling 6-month or 12-month arrangement after the initial period. There are no automatic lock-ins - we earn renewal through delivery.
Get Started

Analytics Up and Running in 2 Weeks

Tell us your current analytics setup - we'll scope a managed service around your priorities.