Customer Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and tailor reports and dashboards that are customer-facing

• Convert customer needs into precise and actionable reporting

• Utilize SQL and the current data infrastructure to explore customer inquiries, verify reported metrics, and resolve discrepancies

• Create scalable reporting solutions that can be reused across various customers, service lines, and engagement types

• Collaborate with Customer Success to facilitate data-driven quarterly business reviews (QBRs), executive business reviews, renewals, and discussions on value realization

• Identify deficiencies in the underlying data models and product reporting capabilities

• Work alongside Product and Data Science teams to standardize and productize frequently requested reports

• Develop and sustain scalable data models that support customer reporting, QBRs, value realization, and product analytics

• Write advanced SQL to extract, transform, validate, and analyze customer and product data from multiple sources

• Construct and uphold data models and transformations to ensure reliable, reusable downstream datasets

• Address issues related to legacy data quality, modeling, and structure that impact reporting accuracy

• Create reusable datasets and semantic definitions to ensure consistent reporting across customers

• Identify opportunities for automation and standardization to minimize manual reporting

• Participate in selected customer meetings, QBRs, and onsite engagements to grasp reporting requirements

• Collaborate with Data Science and Data Engineering on analytics, modeling, instrumentation, and infrastructure decisions

⛳️ Requirements

• A minimum of 2 years of experience in Data Analytics, Analytics Engineering, Data Operations, Business Intelligence, Customer Analytics, or a similar technical data role

• Advanced SQL proficiency with proven experience in querying, transforming, validating, and troubleshooting intricate datasets

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

• In-depth understanding of data quality, validation, governance, and operational workflows

• Capability to convert business and customer inquiries into structured data requirements

• Strong analytical abilities and comfort with large or complex datasets

• Experience in creating dashboards, reports, and executive-level data narratives

• Excellent communication skills, particularly in translating between technical and non-technical stakeholders

• Experience in a B2B SaaS or enterprise software company is a plus

• Hands-on experience with dbt is a plus

• Experience supporting Customer Success, QBRs, value realization, or customer analytics is a plus

• Familiarity with audit, advisory, accounting, or professional services workflows is a plus

• Experience working with product telemetry and customer usage data is a plus

• Experience collaborating directly with Data Science or Analytics Engineering teams is a plus

• Must complete required application questions regarding dbt models, data validation, and interest in audit and assurance automation

• Must indicate whether visa sponsorship will be needed for employment in the United States

🏝️ Benefits

• Competitive compensation packages with significant ownership opportunities

• Flexible paid time off (PTO)

• 401k plan

• Wellness benefits

• Technology and Work from Home reimbursement

• Flexible work schedules

• Equity options