Role Overview
Lean Layer is doubling its consulting team over the next year, and we need to hire excellent people. We are looking for a RevOps Analytics Engineer with deep Revenue Operations expertise to own and maintain the data infrastructure that powers revenue analytics and reporting across our client environments.
What You Will Do
The RevOps Analytics Engineer will work closely with RevOps consultants who define CRM and business requirements, and with data analysts who build dashboards and reporting. Key responsibilities include data warehouse ownership, data pipelines & integrations, data modeling for revenue analytics, and data quality & reliability.
Why It Might Be a Fit
You may be a fit for the RevOps Analytics Engineer role if you are strong in SQL, data modeling, and warehouse architecture, and can understand the business context of revenue operations in order to build reliable and scalable data systems.
Requirements
- 3–5 years of experience in data engineering or analytics engineering
- Strong SQL skills
- Experience working with data warehouses (BigQuery, Snowflake, Redshift, etc.)
- Experience working with Salesforce or HubSpot as a data source
- Experience building and maintaining ETL / ELT pipelines
- Experience designing analytics-ready data models
- Familiarity with API-based integrations and data syncing
- Python for data pipelines or automation
- Reverse ETL or operational data workflows
- dbt or similar transformation tools
- Looker or similar BI platforms
- Experience with GitHub
To apply for this job please visit jobs.ashbyhq.com.
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