Fractional Principal Analytics

Build the analytics
system your team
runs on.

Principal-led analytics architecture and implementation for startups that need durable systems, trusted metrics, and AI-ready workflows without a full-time VP.

Most clients engage Ridgeflow for 3–6 months to design and implement the analytics system they will still be using two years from now.

Discuss an Engagement
3–6 month principal-led engagements • architecture, implementation, enablement
Specialty
AI-Forward Analytics Systems
Engagement
Fractional Principal-Level Partnership
Availability
Selective Engagements
Who I work with

For teams that need a durable analytics operating system, not one-off dashboard help.

I work with operators who need principal-level judgment on architecture, metrics, and execution as analytics becomes a company-wide operating system.

Seed to Series B startups

Building a durable analytics foundation before ad hoc reporting and tool sprawl get expensive to unwind.

Growth-stage teams

Standardizing metrics across product, operations, and finance so decisions stay consistent from board updates to weekly execution.

Founders and operators

Who need principal-level analytics leadership and execution without adding a full-time VP Analytics hire.

Engagements are focused 3–6 month partnerships designed to create durable systems, metric clarity, and team leverage, not short-term dashboard fixes.

Services

Analytics systems scoped around outcomes, not task lists.

Engagements focus on the systems your team runs on every week: architecture, metrics, reporting, and AI-native leverage that compounds over time.

01

Analytics Architecture

  • Warehouse architecture
  • Opinionated dbt modeling standards
  • Semantic layer & metric governance
  • Cost + performance optimization
02

Metric & Reporting Systems

  • KPI frameworks
  • Executive dashboards
  • Cross-functional metric standardization
  • Reporting automation
03

AI-Native Workflows

  • Internal AI analytics agents
  • Natural-language metric interfaces
  • AI copilots for analysts
  • Automated anomaly detection
How we work

Senior, direct, hands-on execution from audit through implementation.

01

Diagnose

Deep audit of your stack, metrics, and workflows to identify where trust, speed, and ownership are breaking down.

02

Design

Documented, opinionated architecture and roadmap covering data models, metric governance, reporting surfaces, and implementation sequence.

03

Build & Enable

Hands-on implementation with weekly demos, practical documentation, and team enablement so the system keeps working after the engagement.

Get in touch

Discuss a 3–6 month analytics engagement.

Ridgeflow is typically engaged for principal-led architecture and implementation work that improves metric trust, decision speed, and team leverage. If that is the outcome you need, start here.

@
Connect on LinkedIn
↗
ridgeflow.io
◎
Bend, OR — Remote-first
Principal-led engagements • selective availability
✓ Message received. We'll get back to you within 1 business day.
Unable to send right now. Please try again or email hello@ridgeflow.io.