Senior Business Intelligence & Analytics Manager

🕒 April 27

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Axuall

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚕️ Healthcare Insurance

☁️ SaaS

👥 HR Tech

💰 $10.4M Series A on 2021-06

Healthcare Insurance • SaaS • HR Tech

Axuall is a workforce intelligence company that leverages real-time clinician data to enhance healthcare operations. Developed with input from leading healthcare systems, the Axuall platform enables healthcare providers to optimize their workforce by analyzing, recruiting, onboarding, and engaging clinicians more effectively. By reducing clinician paperwork, turnaround times, and overall inefficiencies, Axuall aims to meet patient demand, improve economic efficiencies, and reduce provider burnout. By empowering healthcare executives with critical data insights, Axuall supports better decision-making and operational excellence in healthcare organizations.

📋 Description

• 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

🎯 Requirements

• 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)

🏖️ Benefits

• Comprehensive Health Insurance • 401(k) with Employer Match • Wellness Stipend • Professional Development Reimbursement • Work From Home Stipend • Remote Work Flexibility • Flexible PTO • Paid parental leave