Data & analytics foundations
Trusted KPIs and analytics your teams actually use
I turn scattered spreadsheets into governed data products with Snowflake, dbt, and Power BI. I define metrics with the business, build automated pipelines, and enable teams to act on insights every day.
- Sources
- Analysis
- Insight
Integration & modelling
Bring ERP, dealer, and finance data together with a robust semantic layer.
- Ingestion from SAP, dealer management, banking, and SaaS sources
- dbt modelling with tests, documentation, and SLAs
- Slowly changing dimensions, hierarchies, and permissions
Analytics & visualisation
Dashboards that answer the real questions – from boardrooms to workshops.
- Looker, Power BI, and Tableau experience with row-level security
- Self-service datasets and certified metric definitions
- Alerting and narrative reporting for executives and frontline teams
Enablement & governance
Keep your organisation aligned and confident in the numbers.
- Data councils, stewardship roles, and KPI playbooks
- Training for analysts, controllers, and line managers
- Usage tracking and feedback loops to evolve datasets
Automotive retail · DACH
Retail performance cockpit
Daily KPI adoption across 120 dealerships, manual reporting eliminated.
- Snowflake + dbt core modelling with automated quality checks
- Power BI dashboards for sales, service, and after sales leaders
- Alerting for underperforming KPIs and seamless Excel export
Automotive financial services
Finance & risk analytics
One source of truth for portfolio risk and regulatory reporting.
- Integrated CarFin, SAP BW, and CRM datasets with lineage
- Data products for IFRS9 and sales steering with governance
- Executive reporting packs automated via PowerPoint/Excel templates
How I build data products that stick
Data work succeeds when business questions, data modelling, and enablement are aligned. I follow a structured, iterative approach.
Define metrics & sources
Clarify decisions, required KPIs, and source system readiness with stakeholders.
Build & automate
Implement ingestion, dbt models, and dashboards with automated tests, alerts, and documentation.
Adopt & iterate
Launch enablement sessions, track usage, gather feedback, and evolve the data product backlog.
Data to decisions
Let’s build your analytics foundation
Tell me which KPIs or reports cause pain today. I’ll propose a roadmap with data sources, modelling effort, and win scenarios.