Customer Data Analyst — United States — LinkedIn — 4490054004

Role Overview

The hiring organization is seeking a Customer Data Analyst to build and operationalize the data foundation connecting platform usage with customer-realized value. Sitting at the intersection of Customer Success, Product, Data Science, and GTM Operations, this role combines SQL, analytics, data modeling, and reporting to ensure customer data is accurate, scalable, and actionable. While the position involves participating in select customer meetings, QBRs, and onsite engagements to understand reporting requirements firsthand, the work is primarily hands-on technical execution.

Role Details

• Location: United States

• Work Arrangement: Remote

• Employment Type: Full time

Key Responsibilities

• Develop, customize, and maintain customer-facing reports, dashboards, and scalable reporting solutions across customers, service lines, and engagement types.

• Write advanced SQL to query, transform, validate, and analyze customer and product data across multiple data sources, investigating questions and resolving discrepancies.

• Build and maintain scalable data models, transformations, semantic definitions, and reusable downstream datasets to support reporting, QBRs, value realization, and product analytics.

• Identify gaps in existing data models and address legacy data quality, structural, and modeling issues that impact reporting accuracy.

• Partner with Customer Success to support data-driven QBRs, executive business reviews, renewals, and value realization conversations.

• Collaborate with Product, Data Science, and Data Engineering to move recurring one-off reporting toward standardized, automated capabilities and upstream product instrumentation.

Qualifications

Required:

• 2+ years of experience in Data Analytics, Analytics Engineering, Data Operations, Business Intelligence, Customer Analytics, or a related technical data role.

• Advanced SQL skills with demonstrated experience querying, transforming, validating, and troubleshooting complex datasets.

• Strong understanding of dimensional data modeling, data transformations, metric definitions, and analytics architecture.

• Strong understanding of 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, particularly the ability to translate between technical and non-technical stakeholders.

Preferred:

• Experience at a B2B SaaS or enterprise software company.

• Hands-on experience with dbt, 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 working with product telemetry and customer usage data.

• Experience partnering directly with Data Science or Analytics Engineering teams.

Compensation & Benefits

• Competitive compensation package with equity ownership

• 401(k)

• Flexible PTO

• Wellness benefits

• Technology and work-from-home reimbursement

• Flexible work schedules