Principal Sales Infrastructure Analyst, Analytics Engineering

Analytics & Data Science | Remote, Americas | Remote, Remote | Austin, United States | Salt Lake City, United States

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We’re looking for a versatile, seasoned sales data analyst or analytics engineer that will focus on driving data alignment (improving business processes and production systems) between enterprise go-to-market and finance. You’ll design clean, robust data pipelines and infrastructure to monitor data drift between systems/applications like Salesforce, Oracle Fusion, Gainsight, and Databricks. As an experienced senior analytics engineer on our team, you’ll help evolve our data stack, champion best practices in data processing + analytics design, and build a robust context layer on top of our data that enables AI agents to interact safely.

* Design, build, and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows

* Lead the development of data products and an AI context layer that enables analytics and data access to scale across the company

* Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts

* Partner with finance, data engineering, and other x-functional teams to track and flag data inconsistencies that obscure the company’s ability to accurately close our books

* Execute sizing analyses for transformational and ad-hoc data infrastructure changes, including well-defined impact analyses to support new and ongoing initiatives and product launches, conducting investigations and QA on source data quality

* Develop SME-level knowledge and ownership for core system data transformations (owning the cycle for a new product or data structure)

* Leverage available tools to find efficiencies and process improvements to help us and our partner teams (deal desk, central analytics) remove manual processes and improve source data accuracy

* Investigate reported bugs or deficiencies, working with business analysts and data engineering to do UAT/QA on simple bug-fix & feature releases