Remote Customer Data Operations Analyst

fieldguide.com; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation packages with

Ownership

401k

Wellness benefits

Technology & Work from Home reimburse

Flexible work schedules

Job summary

Fieldguide is seeking a Customer Data Operations Analyst to build and operationalize the data foundation that connects how customers use Fieldguide with how we measure value from the platform.

You will work at the intersection of Customer Success, Product, Data Science, and GTM Operations, translating real-world needs into scalable data models, trusted reporting, and actionable insights. The role emphasizes hands-on data modeling and reporting to scale data infrastructure.

Qualifications

• 2+ years of experience in Data Analytics or related technical data role.
• Advanced SQL skills with querying, transforming, validating, and troubleshooting complex datasets.
• Strong understanding of dimensional data modeling, data transformations, metric definitions, and analytics architecture.
• Experience creating dashboards, reports, and executive-level data narratives.
• Strong data quality, validation, governance, and operational workflows.

Responsibilities

• Develop and maintain scalable customer reporting and dashboards.
• Query, transform, validate, and analyze customer and product data from multiple sources.
• Build and maintain reusable data models and downstream datasets.
• Identify gaps in data models and address data quality issues that impact reporting accuracy.
• Collaborate with Product and Data Science to standardize reporting and analytics.

Skills

Advanced SQL

Dimensional modeling

Data quality

Communication

Analytics storytelling

Tools

dbt

Job description

Fieldguide is seeking a Customer Data Operations Analyst to build and operationalize the data foundation that connects how customers use Fieldguide with how we measure value from the platform.

You will work at the intersection of Customer Success, Product, Data Science, and GTM Operations, translating real-world needs into scalable data models, trusted reporting, and actionable insights. The role emphasizes hands-on data modeling and reporting to scale data infrastructure.