Customer Data Analyst

Location: Remote (USA)

Salary: $145K–$175K plus equity

Company

hirify.global builds software that automates and streamlines assurance and audit work across cybersecurity, privacy, and financial audit.

What you will do

• Develop and customize customer-facing reports and dashboards for QBRs, executive reviews, renewals, and value realization conversations.
• Use advanced SQL to query, transform, validate, and troubleshoot customer and product data across multiple sources.
• Build and maintain scalable data models, transformations, reusable datasets, and semantic definitions.
• Identify and resolve data quality, modeling, structural, and reporting issues at their source.
• Translate recurring custom reporting needs into standardized, automated, and productized capabilities.
• Partner with Customer Success, Product, Data Science, and Data Engineering to determine reporting, instrumentation, and infrastructure needs.

Requirements

• 2+ years of experience in Data Analytics, Analytics Engineering, Data Operations, Business Intelligence, Customer Analytics, or a related technical data role.
• Advanced SQL skills, including querying, transforming, validating, and troubleshooting complex datasets.
• Strong understanding of dimensional data modeling, data transformations, metric definitions, analytics architecture, data quality, validation, governance, and operational workflows.
• Ability to translate business and customer questions into structured data requirements.
• Strong analytical skills and comfort working with large or complex datasets.
• Experience creating dashboards, reports, and executive-level data narratives.
• Excellent communication skills, especially when translating between technical and non-technical stakeholders.

Nice to have

• Experience at a B2B SaaS or enterprise software company.
• Hands-on dbt experience, including building, maintaining, testing, and documenting scalable data models.
• Experience supporting Customer Success, QBRs, value realization, or customer analytics.
• Familiarity with audit, advisory, accounting, or professional services workflows.
• Experience with product telemetry and customer usage data.
• Experience partnering directly with Data Science or Analytics Engineering teams.

Culture & Benefits

• Remote-first work with flexible work schedules.
• Inclusive, supportive, values-based culture focused on ownership, speed, excellence, and mutual value.
• Competitive compensation with meaningful ownership.
• Flexible PTO, wellness benefits, 401(k), and technology and work-from-home reimbursement.