RevOps BI Architect
Brazil, IN · On-site
Design and maintain semantic layers and reporting models used in BI tools such as Looker,PowerBI ... LookML or semantic modeling frameworks * dbt metrics or transformation frameworks * Data UX and ...
RevOps BI Architect
Brazil, IN · On-site
Design and maintain semantic layers and reporting models used in BI tools such as Looker,PowerBI ... LookML or semantic modeling frameworks * dbt metrics or transformation frameworks * Data UX and ...
Looker Lookml information
What is a Looker LookML Developer?
A Looker LookML Developer is a professional who specializes in creating, maintaining, and optimizing data models using LookML, the modeling language of Looker. They build scalable and efficient data structures that enable users to explore, visualize, and analyze data in the Looker platform. Their responsibilities include developing dimensions, measures, and views, ensuring data accuracy, and supporting business intelligence initiatives.
What are some typical challenges Looker LookML developers face when collaborating with data analysts and business users?
Looker LookML developers often encounter challenges in translating business requirements into efficient data models and dashboards. Effective communication is key, as data analysts and business users may not always articulate their needs in technical terms. Additionally, balancing data model performance with flexibility for ad-hoc analysis can be complex. Working closely with stakeholders to iterate on requirements and providing clear documentation helps ensure the final product aligns with business goals while maintaining data integrity.
What are the key skills and qualifications needed to thrive as a Looker LookML Developer, and why are they important?
To thrive as a Looker LookML Developer, you need a strong background in data modeling, SQL, and analytics, often supported by experience in business intelligence (BI) or data analysis roles. Proficiency with Looker, LookML, and familiarity with cloud data warehouses like BigQuery or Snowflake, as well as Looker certification, are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are key soft skills for translating business requirements into actionable data insights. These skills ensure accurate data modeling, clear reporting, and the effective delivery of business intelligence solutions to stakeholders.
What is the difference between Looker Lookml vs Data Analyst?
| Aspect | Looker Lookml | Data Analyst |
|---|---|---|
| Primary Role | Develops and maintains data models in Looker using LookML | Analyzes data, creates reports, and provides insights |
| Skills & Certifications | Knowledge of LookML, SQL, data modeling | Excel, SQL, data visualization tools, analytical skills |
| Work Environment | Data teams, BI departments, cloud-based platforms | Business units, analytics teams, cross-functional teams |
Looker Lookml specialists focus on building and managing data models within Looker, requiring technical skills in LookML and SQL. Data Analysts interpret data, generate reports, and support decision-making. While both roles work with data, Looker Lookml roles are more technical and model-focused, whereas Data Analysts are more business and insight-oriented.
What are popular job titles related to Looker Lookml jobs in Indiana? For Looker Lookml jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Looker Lookml jobs in Indiana look for? The top searched job categories for Looker Lookml jobs in Indiana are:
Other
Posted 3 days ago
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'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:
BI Platform & Semantic Layer Ownership:
Experience working with systems and metrics such as:
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.
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
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
- 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
- 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
- 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
- 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
- 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
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.