About this role
A Senior Analytics Engineer at PandaDoc sits at the intersection of data engineering and analytics, responsible for shaping the company’s data platform and enabling strategic decision-making. The role focuses on transforming raw data into trusted, accessible datasets and partnering with stakeholders across customer success, revenue, and product. You’ll work within a modern data stack and have influence over platform architecture as the team evolves toward an AI-enabled, domain-oriented data organization.
Required Skills
- SQL
- dbt
- Snowflake
- Data Modeling
- Select Star
- Data Governance
- Airflow
- Python
- Data Quality
- GitHub
+2 more
About PandaDoc
pandadoc.comI couldn’t find any company content in the HTML you supplied — it only contains cookie-banner CSS and no visible text about the business. Please either paste the page’s visible text or give the site URL or company name/industry and I’ll distill a 3–4 sentence profile. If you’d like a placeholder right away, here’s an example fictional profile I can adapt once you confirm details: "Verdant Analytics is a SaaS company that provides cloud-based analytics and reporting tools for e-commerce and retail teams. Their platform centralizes sales, inventory, and customer data to deliver automated dashboards, forecasting, and actionable insights. Built for business users and data teams, Verdant emphasizes easy integrations, real-time metrics, and secure cloud infrastructure."
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