BigQuery. A marketing data layer for reporting, analysis and automation.

BigQuery Marketing Analytics Data, SQL and reporting

I build BigQuery data layers for GA4, campaigns, dashboards and e-commerce analysis

GA4 export is only the first step. I help design reporting tables, SQL transformations, cost controls and BI integrations that make BigQuery useful for daily marketing decisions.

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Offer - what you get

GA4 export architecture

Datasets, retention, permissions and base views for working with GA4 event data.

Reporting models

Daily tables for sessions, conversions, baskets, campaigns and revenue, ready for BI tools.

Cost control

Partitioning, clustering, query limits, SQL best practices and cost monitoring.

BI integrations

Looker Studio, Power BI or Tableau connected to stable reporting tables instead of raw events.

  • Best for: e-commerce, lead gen and marketing teams outgrowing GA4 UI and spreadsheets.
  • Model: implementation project or a module inside an analytics retainer.
  • Outcome: faster dashboards, auditable calculations, lower query costs and AI-ready data.

GA4 export to BigQuery is only the technical start - without naming conventions, quality tests and IAM permissions the warehouse grows without control. See governance in marketing analytics (table naming, lineage, retention) before scaling SQL models.

Krzysztof Surowiecki

Krzysztof Surowiecki. For years I have helped companies structure analytics so leadership, marketing and sales work from a single version of the truth.

  • End-to-end expertise: audit, implementation, reporting and ongoing data environment development.
  • Business perspective: recommendations focused on margin, profitability and growth pace.
  • Clear methodology, transparent communication and full confidentiality on every project.

Trust - why clients hand me their analytics

20+years of experience
150+projects
50+clients
7expert tools
  • One accountable person: I do not pass projects between departments - you work directly with me.
  • Consulting approach: diagnosis and priorities first, then implementation with measurable business impact.
  • Confidentiality and security: NDA and work standards suited to data-sensitive organisations.

Contact - let's take the first step

Tell me which reports or analyses should run on BigQuery. I will propose a practical starting architecture.

Book a consultation