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Customer Data Operations Analyst

Fieldguide • United States
Full Remote
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Builds and operationalizes customer data foundation for Fieldguide, translating customer needs into scalable data models, trusted reporting, and actionable insights. Combines SQL, analytics, and data modeling to ensure accurate, accessible, and scalable customer data. Requires 2+ years of experience in data analytics, strong SQL skills, and understanding of data modeling and governance.

Key Highlights
Builds and operationalizes customer data foundation for Fieldguide
Combines SQL, analytics, and data modeling to ensure accurate and scalable customer data
Works at the intersection of Customer Success, Product, Data Science, and GTM Operations
Key Responsibilities
Develop and maintain scalable data models for customer reporting and analytics
Create and customize customer-facing reports and dashboards using SQL and data infrastructure
Partner with Customer Success, Product, and Data Science teams to ensure accurate and actionable data insights
Identify and address gaps in data models and infrastructure to improve reporting accuracy
Technical Skills Required
SQL Data Modeling Data Analytics
Benefits & Perks
Competitive compensation packages with meaningful ownership
Flexible PTO
401k
Wellness benefits
Technology & Work from Home reimbursement
Flexible work schedules
Nice to Have
Experience with dbt for building and maintaining scalable data models
Experience in B2B SaaS or enterprise software environments
Familiarity with audit, advisory, or professional services workflows

Job Description

About the Role

Fieldguide is looking for a Customer Data Operations Analyst to help build and operationalize the data foundation that connects how customers use Fieldguide with how we measure, understand, and communicate the value they receive from the platform.

This role will sit at the intersection of Customer Success, Product, Data Science, and GTM Operations, translating real-world customer needs into scalable data models, trusted reporting, and actionable insights. The role will combine strong SQL and analytics capabilities with hands-on data modeling and reporting, ensuring customer data is accurate, accessible, and built to scale.

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