Data & Analytics Engineering
Numbers you can trust, dashboards people actually use.
Marketing data warehouses, ETL/ELT pipelines, dbt models, and BI dashboards built for marketing decisions.
Starting range to help you plan. Final scope and quote depend on requirements — media spend, talent, and licenses are separate.
— Overview
Marketing data is messy. We build clean, trusted marketing data infrastructure — Snowflake, BigQuery, or Redshift warehouses; Fivetran or Airbyte ingestion; dbt models; and dashboards in Looker, Mode, Hex, or Metabase.
We focus on the metrics that drive decisions: full-funnel attribution, channel ROI, cohort and retention analytics, and CAC/LTV modeling — built so non-analysts can actually use them.
— Capabilities
What's in scope.
— Outcomes
What you get.
- One source of truth for marketing performance
- Dashboards leadership opens on Monday
- Faster, cheaper analysis going forward
What AI handles
- Generate dbt models and tests from schemas
- Detect anomalies in pipelines and metrics
- Draft SQL and dashboard variants
What humans handle
- Design the data model that ages well
- Define the metrics that matter
- Build trust with leadership in the numbers
— Deliverables
— Also known as
People search for this work as:
— FAQ
Common questions.
- Do you do attribution modeling?
- Yes — multi-touch attribution, media mix modeling (MMM), and incrementality testing, depending on what your data and budget can support.
— Related services
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