---
title: 'RevOps Analytics Engineer at Lean Layer'
canonical: 'https://feeny.ai/job/revops-analytics-engineer-lean-layer-united-states-fe853cz1eskz'
type: 'job'
last_seen: '2026-09-10'
---

# RevOps Analytics Engineer at Lean Layer

- **Company:** Lean Layer
- **Location:** United States
- **Compensation:** $40k–$165k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-03-19
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/leanlayer/395cb6c6-5bdb-41da-add0-b5de20c39c04

## Job description

Position Overview Lean Layer is the #1 Rated RevOps Agency on G2, and we’re doubling our consulting team over the next year. Our reputation is built on excellent results, which means we need to keep hiring 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. This role focuses on data engineering and warehouse management, ensuring reliable pipelines, scalable data models, and high-quality revenue data. 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. 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.

## What We’re Looking For

The ideal candidate:

- Enjoys building reliable data systems and solving complex data problems
- Has strong technical data engineering skills
- Understands how revenue teams use data for reporting and decision-making
- Can translate business context into scalable data models
- Is comfortable working across multiple systems and client environments
- Is comfortable working directly with clients as needed
- Thrives in collaborative, fast-paced environments

## Key Responsibilities

Data Warehouse Ownership:

- Design and maintain datasets and table structures
- Manage warehouse performance, partitioning, clustering, and cost optimization
- Maintain access controls and permissions
- Structure warehouse schemas to support revenue analytics and reporting

Data Pipelines & Integrations:

- Build and maintain ETL / ELT pipelines from revenue systems into the warehouse
- Integrate data from systems such as HubSpot, Salesforce, marketing and sales analytics platforms, sales engagement platforms, billing systems, and product analytics tools
- Monitor pipeline health and resolve failures
- Manage schema changes from upstream systems
- Ensure reliable and timely data synchronization
- Manage GitHub repositories

Data Modeling for Revenue Analytics:

- Design and maintain analytics-ready data models
- Build models for accounts, contacts, opportunities, and pipeline data

BI & Analytics Support:

- 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
- Dashboard creation for data validation

Data Quality & Reliability:

- Implement data validation and testing
- Monitor pipeline health and data freshness
- Identify and resolve data inconsistencies
- Maintain documentation for warehouse models and data definitions

Required Qualifications

- 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

## Preferred Experience

Experience working with revenue or business systems and terminology such as:

- Marketing Automation Platforms (MAP) like HubSpot
- Marketing analytics platforms
- SaaS revenue metrics (ARR, ACV, TCV, MRR, etc.)
- SaaS terminology (MQL, SQL, SQO, Deal/Opportunity, Lead/Contact, etc.)

Learn more about what it's like to work at Lean Layer [here](https://www.leanlayer.com/career-at-lean-layer).

Visa Sponsorship: Please note that we are not currently able to offer U.S. visa sponsorship or transfer for this position.

For Canadian and Brazilian Residents: We also invite you to apply for this position but please note that at this time we can only hire those outside of the United States as full-time contractors. If you have any questions about this set up, please don't hesitate to reach out.

## About Lean Layer

## Company Overview
- **One-liner**: A fractional Revenue Operations (RevOps) and Business Intelligence agency that helps B2B companies optimize their revenue funnel, build data infrastructure, and turn insights into revenue.
- **Entity Type**: Private (Self-funded, profitable, bootstrapped)
- **Headquarters**: New York, New York, United States (remote-first with presence in Brazil and Canada)
- **Founded**: 2019
- **Founders**: Al Paz-Yener (Founder and Principal GTM Operations Advisor)

## Core Business
- **Primary Industry**: Business Consulting and Services (specifically Revenue Operations, Business Intelligence, and GTM Strategy)
- **Target Customers**: B2B companies (SMB to mid-market), specifically Sales Leaders, Marketing Leaders, CROs, CFOs, and CEOs who need flexible RevOps and BI support.
- **Mission/Purpose**: To provide high-growth companies with the strategic and operational expertise of a 20+ person RevOps and BI team without the overhead or wait for an internal hire.

## Products & Services
- **Fractional Revenue Operations**: A flexible, month-to-month service providing expert RevOps leadership and execution. Includes ICP signaling, lead scoring, TAM expansion, funnel analysis, and closed-lost analysis to improve conversion rates.
- **Business Intelligence & Analytics**: Custom reporting and data analysis. The team surfaces key trends, builds dashboards, and creates spin-off projects that turn data insights into revenue.
- **Revenue Strategy**: Advisory services that help B2B companies define and execute their go-to-market strategy, including AI-driven revenue generation, scoring models, and TAM expansion.
- **Tech Stack Implementation & Optimization**: Specialized in Salesforce and HubSpot ecosystems, ensuring data integrity, proper system processes, and an optimized tech stack.
- **Talent Services**: Recruitment services for RevOps and CRM roles.

## Market Standing
- **Valuation**: Not publicly available (self-funded and profitable).
- **Key Metric**: Rated **#1 RevOps Service on G2** (5.0/5.0 from 103 reviews).
- **Notable Investors/Partners**: Privately held; no external investors listed.
- **Growth Signals**:
    - **Headcount**: Grew from ~12 to 29 employees in the last 12 months (**+89.5% YoY**).
    - **Client Success**: Exceeded revenue goals and doubled the team in the last 12 months.
    - **Geographic Expansion**: Has a presence in the US, Brazil, and Canada.

## Competitive Advantages
- **Fractional Expertise**: Offers the skillset of a large, expensive in-house team without the full-time commitment or overhead.
- **G2 #1 Rating**: Strong market validation and social proof as the top-rated RevOps service.
- **Multi-Client, Multi-Industry Experience**: Employees work across different high-growth B2B companies and industries simultaneously, accelerating their learning and exposure.
- **Human-First, Data-Obsessed**: Combines deep analytical rigor with a practical, human-centered approach to understanding a client’s unique challenges.

## Strategic Focus
- **AI Integration**: Actively leveraging artificial intelligence to drive more revenue for clients, as highlighted in their service offerings.
- **Sustainable Growth**: Focused on building a sustainable, profitable business rather than chasing venture capital.
- **Talent Acquisition**: Actively hiring for roles like Senior Full Stack Developer (AI Infrastructure), RevOps Analytics Engineer, and Salesforce/HubSpot Technical Consultants to scale capacity.
- **Client Expansion**: Targeting new clients and expanding their footprint in the B2B SaaS space.

## Why Work Here
- **Remote-First Culture**: 100% remote, work-from-anywhere policy.
- **Career Acceleration**: Described as "one year at Lean Layer is like five years anywhere else" due to exposure to multiple clients, industries, and complex challenges.
- **High-Growth Environment**: Startup energy with a profitable, self-funded foundation. The team has doubled in size in the last year.
- **Strong Culture & Perks**: Rated 4.9/5.0 for Culture and 4.9/5.0 for Career on LinkedIn. Offers 20 days of PTO (starting 2026), health/dental/vision insurance, One Medical membership, and a performance incentive plan.
- **No Ego, High-Integrity Team**: Deliberately hires for intelligence, integrity, and a collaborative spirit. Focuses on "no drama, no toxic energy."
- **Broad Business Exposure**: Employees get hands-on experience with high-growth B2B companies, solving different problems and building new systems.

## Sources
1. [leanlayer.com](https://www.leanlayer.com/home)
2. [linkedin.com](https://www.linkedin.com/company/lean-layer)
3. [builtin.com](https://builtin.com/company/lean-layer)
4. [leanlayer.com](https://www.leanlayer.com/career-at-lean-layer)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/leanlayer)

## Other roles at Lean Layer

- [Revenue Operations Technical Consultant (Marketing Ops)](https://feeny.ai/job/revenue-operations-technical-consultant-marketing-ops-lean-layer-united-states-9w1whqtvzd4x) — United States
- [RevOps BI Architect](https://feeny.ai/job/revops-bi-architect-lean-layer-united-states-6rkd1sc4tw5v) — United States
- [HubSpot Technical Consultant](https://feeny.ai/job/hubspot-technical-consultant-lean-layer-united-states-w9mabp6knz25) — United States
- [Salesforce Technical Consultant](https://feeny.ai/job/salesforce-technical-consultant-lean-layer-united-states-3xwe0shdacer) — United States
- [Engagement Manager](https://feeny.ai/job/engagement-manager-lean-layer-united-states-txpzmf4t808f) — United States