RevOps BI Architect

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’re looking for RevOps BI Architects with deep Revenue Operations expertise to own the analytics and visualization layer of our data environments.

This role focuses on transforming structured warehouse data into clear, reliable, and scalable reporting experiences used by executives and revenue teams. The RevOps BI Architect ensures dashboards, metrics, and visualizations are consistent, performant, and easy to understand.

Working closely with a team of RevOps Consultants , this role ensures that data is translated into high-quality reporting products and intuitive data experiences .

The ideal candidate combines strong technical BI skills with a deep understanding of data storytelling, dashboard design, and metric standardization , ensuring that reporting remains consistent across clients and stakeholders.

What We're Looking For

The ideal candidate:

Enjoys building clean, intuitive data experiences

Is passionate about making data understandable for non-technical users

Has strong attention to detail and reporting consistency

Understands the operational needs of revenue teams

Can balance technical rigor with clarity and simplicity

Thrives in environments where they own and improve analytics products over time

Key Responsibilities

BI Platform & Semantic Layer Ownership:

Design and maintain semantic layers and reporting models used in BI tools such as Looker,PowerBI, Tableau, or similar platforms

Define and maintain standardized metric definitions used across dashboards and reporting environments

Create reusable measures, calculated fields, and explore structures to support scalable reporting

Manage BI platform permissions, access controls, and governance

Maintain documentation for key reporting metrics, explores, and dashboards

Dashboard & Visualization Development:

Design and build executive and operational dashboards for revenue teams

Create reporting for pipeline, funnel, marketing performance, and revenue analytics

Develop reusable dashboard templates that can be deployed across multiple client environments

Structure dashboards to ensure clarity, usability, and decision-focused reporting

Maintain and improve existing dashboards to ensure accuracy and usability

BI Performance & Optimization:

Optimize BI queries, explores, and derived tables to improve dashboard performance

Identify and resolve slow queries or inefficient reporting structures

Work closely with Analytics Engineers to improve underlying data models for reporting

Implement best practices to reduce query costs and improve dashboard load times

Ensure reporting environments scale efficiently across multiple client environments

Reporting Governance & Standardization:

Standardize KPI definitions and reporting logic across dashboards and analytics environments

Establish and maintain dashboard naming conventions and reporting standards

Maintain an organized catalog of dashboards and reporting assets

Identify and consolidate duplicate or redundant reporting assets

Ensure reporting outputs remain consistent across stakeholders and systems

Data UX & Analytics Product Design:

Design dashboards and visualizations that clearly communicate complex revenue insights

Translate analytical models and metrics into intuitive visual reporting experiences

Simplify complex analytics into clear visuals for executive and operational audiences

Ensure dashboards answer meaningful business questions rather than simply displaying data

Required Qualifications

3–5 years of experience in Business Intelligence or Data Visualization roles

Strong experience with BI tools such as:

Looker

Tableau

PowerBI

Sigma

Mode

Domo

Strong SQL skills

Experience using data from Salesforce or HubSpot

Experience building dashboards for sales, marketing, or revenue teams

Experience designing semantic layers or metric frameworks

Ability to translate complex data into clear visualizations

Strong attention to data consistency and reporting governance

Experience with warehouse platforms such as BigQuery or Snowflake

Preferred Experience

Experience working with systems and metrics such as:

SaaS revenue metrics (ARR, MRR, ACV, TCV)

Pipeline and funnel analytics

Attribution reporting

Marketing automation platforms

LookML or semantic modeling frameworks

dbt metrics or transformation frameworks

Data UX and dashboard design best practices

Learn more about what it's like to work at Lean Layer here .

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.