Services
Hands-on data work for technology companies.
Anjivon delivers contract data analytics and business intelligence engagements — from pipeline architecture to machine learning models — for SaaS and tech companies that need a practitioner, not a project manager.
Data Pipelines & Modeling
Clean, reliable data infrastructure built to last.
Most analytics problems are really data problems. Anjivon designs and builds the pipelines, transformations, and models that make your data trustworthy — so your team can stop arguing about numbers and start using them.
- Data pipeline design and implementation
- SQL and dbt data modeling
- Snowflake and Databricks architecture
- Python-based ETL and data engineering
- Data quality frameworks and testing
- Warehouse migration and consolidation
Analytics & Machine Learning
Models and dashboards built around real decisions.
Anjivon builds analytics and ML solutions for go-to-market and customer success functions — the areas where data has the most direct impact on revenue. Every model is scoped around a business question, not a technique.
- Go-to-market and pipeline analytics
- Customer health scoring and churn modeling
- Expansion and upsell signal detection
- Product usage and adoption analytics
- BI dashboard design and development
- Self-serve analytics enablement
Data Strategy Advisory
A clear roadmap before you build the wrong thing.
Before investing in tooling or headcount, it helps to have an independent perspective on where your data gaps actually are. Anjivon advises on architecture, stack selection, team structure, and roadmap — so you build the right foundation.
- Data stack assessment and recommendations
- Analytics roadmap development
- Tooling and vendor evaluation
- Data team structure and hiring guidance
- Metrics framework design
- Stakeholder alignment and documentation
How engagements work
Flexible, outcome-scoped contracts.
All work is performed by the owner — remotely or on-site — on a contract basis. Engagements are scoped around a defined outcome, not an open-ended retainer. You know what you're getting before work begins.
Project-based
A defined scope, timeline, and deliverable. Best for pipeline builds, model development, or a specific analytics initiative.
Embedded contract
Ongoing work as part of your team — a set number of hours per week or month. Best for companies that need consistent data capacity without a full-time hire.
Advisory
Strategic guidance on data architecture, tooling, and roadmap. Best for leadership teams making foundational decisions.
Not sure which engagement fits?
Let's talk through your situation. I'm happy to give an honest assessment before any commitment.