Free template

Combine BigQuery and Amazon Seller Central Data Using AI – Free Template

Automatically combine Amazon Seller Central and BigQuery data without writing a single line of code.

The Parabola Team Updated January 5, 2026

Pull from Amazon Seller Central Source

Combine with BigQuery Transform

Generate your results Output

Trusted by ops & finance teams at hundreds of leading brands

1

Set up your data sources by creating a new Parabola flow and connecting both your Amazon Seller Central account and your BigQuery warehouse.
2

Select the specific data you want to integrate — settlement reports, orders, SKUs, and fees from Amazon; analytics tables and schemas from BigQuery.
3

Clean, organize, and transform your data. Flatten multi-line orders, split out Amazon fees, normalize SKU names, and map fields to BigQuery tables.
4

Apply any additional processing needed, such as reconciling payouts, mapping returns and refunds, or blending ASC data with other commerce datasets in BigQuery.
5

Generate your results by previewing the integrated data and running your automated flow. Once live, BigQuery will always reflect the latest ASC data.

Push Amazon Seller Central reports into BigQuery to unlock deeper insights into sales, fees, and profitability.

Compare Amazon disbursements with transaction-level detail stored in BigQuery to automate reconciliation.

Blend ASC data with Shopify, ERP, or marketing data already in BigQuery for a unified view of performance.

Transform your data in five easy steps using Parabola's drag-and-drop interface, powered by AI.