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Role Description

We are seeking a Senior Data Analytics Engineer to build and scale the enterprise data foundation that powers our Post-Sales organization and Product Engineering teams. This role sits at the center of Customer Success, Renewals, Professional Services, Support, Customer Education, and Product, ensuring that trusted, well-governed data enables smarter decisions across the entire customer lifecycle.

• Design and own scalable data pipelines.
• Optimize data models.
• Establish governance standards that improve retention forecasting, risk identification, operational efficiency, product telemetry insights, and AI enablement.
• Shape how AuditBoard leverages customer and product data to drive growth, protect revenue, and accelerate innovation.

Key Responsibilities

• Design, build, and maintain scalable data pipelines that ingest and transform data across Salesforce, Gainsight, Rocketlane, Zendesk, Snowflake, product telemetry, and other core systems.
• Strategic partner with Customer Ops & Analytics, Enterprise Data Engineering and Product Operations teams to design scalable data solutions.
• Develop reliable data models that power renewal forecasting, churn prediction, customer health scoring, professional services metrics, support performance, and product usage.
• Implement CI/CD, data testing, and documentation best practices to ensure scalable, secure, and auditable transformations.
• Optimize warehouse performance and data architecture for speed, cost efficiency, and reliability.
• Partner with Product and Engineering to design telemetry schemas and ensure meaningful product instrumentation.
• Architect data structures that support AI/ML use cases including churn prediction, renewal forecasting, workflow automation, and sentiment analysis.
• Implement monitoring and validation frameworks to proactively detect data inconsistencies.
• Familiarity with using Python for basic to advanced data processing tasks.
• Develop and document data or system models, flow diagrams and architecture guidelines.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in data engineering, analytics engineering, or similar role within a SaaS environment.
• Strong expertise in SQL and modern data stack technologies (Snowflake, dbt and Tableau).
• Experience building scalable ETL/ELT pipelines and data models across multiple business systems.
• Familiarity with CRM (Salesforce), CS tools (Gainsight), and product telemetry environments (Amplitude / Pendo), Support (Zendesk).
• Strong cross-functional collaboration skills with the ability to translate business requirements into technical solutions.
• Experience working in high-growth SaaS environments.
• Understanding of SaaS metrics including NRR, GRR, ARR, retention forecasting, and customer health scoring.

Benefits

• Launch a career at one of the fastest-growing SaaS companies in North America!
• Live your best life (LYBL)! $200/mo for anything that enhances your life.
• Comprehensive employee health coverage (all locations).
• 401K with match (US) or pension with match (UK).
• Competitive compensation & bonus program.
• Flexible Vacation (US exempt & CA) or 25 days (UK).
• Time off for your birthday & volunteering.
• Employee resource groups.
• Opportunities for team and company-wide get-togethers!