RevOps Analytics Engineer – Contract to Hire

Job not on LinkedIn

🔥 43 minutes ago

🇧🇷 Brazil – Remote

💵 $40k - $80k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 17%

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Lean Layer

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

📣 Marketing

📦 Logistics

💼 Consulting

Marketing • Logistics • Consulting

Lean Layer is a fractional RevOps, GTM, and business intelligence services firm that helps B2B companies optimize revenue technology, analytics, and go-to-market strategy. They implement and maintain CRM and RevOps infrastructure (primarily Salesforce and HubSpot), build custom revenue analytics and reporting, and help operationalize revenue strategy — acting as an extension of clients' teams to improve forecasting, conversion, and pipeline growth. Lean Layer offers fractional experts, workshops, and hands-on execution to drive measurable revenue outcomes.

📋 Description

• Design and maintain datasets and table structures • Manage warehouse performance, partitioning, clustering, and cost optimization • Maintain warehouse access controls and permissions • Structure warehouse schemas for revenue analytics and reporting • Build and maintain ETL / ELT pipelines from revenue systems into the warehouse • Integrate data from HubSpot, Salesforce, marketing and sales analytics platforms, sales engagement platforms, billing systems, and product analytics tools • Monitor pipeline health and resolve failures • Manage upstream schema changes and ensure timely data synchronization • Manage GitHub repositories • Design and maintain analytics-ready models for accounts, contacts, opportunities, and pipeline data • Maintain tables and models used by BI tools such as Looker • Optimize queries and support derived tables used in reporting • Ensure consistent metric definitions across reporting layers • Create dashboards for data validation • Implement data validation and testing • Monitor data freshness and resolve data inconsistencies • Maintain documentation for warehouse models and data definitions • Collaborate with RevOps consultants defining CRM and business requirements and data analysts building dashboards and reporting

🎯 Requirements

• 3–5 years of experience in data engineering or analytics engineering • Strong SQL skills • Experience with data warehouses such as BigQuery, Snowflake, or Redshift • 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 • Experience with reverse ETL or operational data workflows • Experience with dbt or similar transformation tools • Experience with Looker or similar BI platforms • Experience with GitHub • Comfort working across multiple systems and client environments • Ability to work directly with clients as needed • For Brazilian residents: must be based in Brazil

🏖️ Benefits

• Contract-to-hire opportunity • Up to 40 hours of work per week during the hourly contract period • Commission opportunities • Bonus opportunities

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