Build, maintain, and extend data pipelines across product, CRM, and third-party sources to ensure reliable, scalable data access that power analytics across the business and for customers
Own and manage the BI environment, including data models, transformation processes, and visualization tooling
Translate Axuall’s data into actionable insights that drive product value, customer outcomes, and revenue growth
Establish and enforce standards for data quality, consistency, and governance to ensure accuracy and trust in all analytics outputs
Enable self-service analytics by maintaining a consistent, trusted data foundation that drives speed and confidence in decision-making
Develop and support AI-driven data workflows that extract insights (e.g., sentiment, patterns) to inform product strategy and customer value realization
Support business leaders to communicate internally and externally with data

4+ years of experience in analytics engineering or data engineering within a SaaS or data-driven environment
Expert-level SQL and strong Python skills, with the ability to build and maintain scalable data models and pipelines
Hands-on experience with dbt in a production environment (experience managing large model sets preferred)
Strong data wrangling skills
comfort working with messy, real-world datasets
Experience building customer-facing dashboards or reports, including presenting findings to executive and operational audiences
Ability to translate data findings into clear, non-technical business narratives for executive and operational audiences
Strong experience with BI and analytics tools (e.g., Omni, Sigma, Tableau, or Power BI), including building governed, self-service data layers
Experience working with modern data warehouses (e.g., ClickHouse, BigQuery, Redshift, or similar)
Experience with pipeline orchestration tools (e.g., Dagster, Airflow, Prefect, or similar)

Senior Business Intelligence & Analytics Manager

Key skills