Remote opportunity at
FieldguideCustomer Data Analyst
Fieldguide seeks a Customer Data Operations Analyst to help establish the data infrastructure connecting customer platform usage with the measurement and communication of platform value. Operating…
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About This Role
Fieldguide seeks a Customer Data Operations Analyst to help establish the data infrastructure connecting customer platform usage with the measurement and communication of platform value. Operating remotely as a full-time team member, this position connects Customer Success, Product, Data Science, and GTM Operations by turning real-world customer requirements into scalable data models, reliable reports, and actionable insights. The company develops software designed to automate and streamline assurance and audit workflows…
Job Description
Fieldguide seeks a Customer Data Operations Analyst to help establish the data infrastructure connecting customer platform usage with the measurement and communication of platform value. Operating remotely as a full-time team member, this position connects Customer Success, Product, Data Science, and GTM Operations by turning real-world customer requirements into scalable data models, reliable reports, and actionable insights. The company develops software designed to automate and streamline assurance and audit workflows specifically for cybersecurity, privacy, and financial audit practitioners.
The person in this role will spend most of their time performing hands-on technical work, such as developing and customizing reports, querying and validating data, building data models, and fixing gaps within underlying data systems. Additionally, the analyst will participate in select customer meetings, QBRs, and onsite engagements to gather reporting needs directly. Candidates should have a background in data analytics, engineering, or operations, alongside advanced SQL proficiency and an understanding of dimensional data modeling.
Responsibilities
- Develop and customize customer-facing reports and dashboards while translating customer requests into accurate reporting solutions.
- Use SQL and current data infrastructure to investigate customer questions, validate reported metrics, and resolve data discrepancies.
- Build scalable reporting architectures that apply across various customers, service lines, and engagement types.
- Collaborate with Customer Success to assist with data-driven QBRs, executive business reviews, renewals, and value realization talks.
- Identify broader data model or product reporting gaps based on customer requests and partner with Product and Data Science teams to standardize solutions.
- Create and maintain scalable data models supporting customer reporting, QBRs, value realization, and product analytics.
- Write advanced SQL code to extract, transform, validate, and analyze customer and product data from multiple sources.
- Establish reusable datasets and semantic definitions to ensure consistent reporting across accounts without recreating logic.
Requirements
- At least 2 years of professional experience in Data Analytics, Analytics Engineering, Data Operations, Business Intelligence, Customer Analytics, or a related technical data role.
- Advanced SQL capabilities featuring demonstrated practice in querying, transforming, validating, and troubleshooting complex datasets.
- Thorough understanding of dimensional data models, data transformations, metric definitions, and analytics architecture.
- Solid knowledge of data quality, validation, governance, and operational workflows.
- Capacity to translate business and customer questions into structured data requirements.
- Strong analytical aptitude with comfort handling large or intricate datasets.
- Experience producing dashboards, reports, and executive-level data narratives.
- Excellent communication skills with the ability to bridge technical and non-technical stakeholders.
Qualifications
- Prior experience working at a B2B SaaS or enterprise software company.
- Hands-on practice with dbt, encompassing the building, maintenance, testing, and documentation of scalable data models.
- Background supporting Customer Success, QBRs, value realization, or customer analytics initiatives.
- Familiarity with audit, advisory, accounting, or professional services workflows.
- Experience handling product telemetry and customer usage data.
- Prior collaboration directly alongside Data Science or Analytics Engineering teams.
Core Skills
Benefits
- Competitive compensation packages offering meaningful ownership
- Flexible paid time off
- 401k plan
- Wellness benefits
- Technology and work-from-home reimbursement
- Flexible work schedules
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, Fieldguide operates as a remote-first company allowing you to work from anywhere, while the posting indicates the role is remote.
What is the employment type?
This is a full-time employment position.
What experience level is required for this role?
Candidates must have at least 2 years of experience working in Data Analytics, Analytics Engineering, Data Operations, Business Intelligence, Customer Analytics, or a related technical data role.
What is the salary for this position?
The salary is not specified in the job posting.
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