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Axuall

Sr. Business Intelligence & Analytics Manager

Posted Yesterday
Remote or Hybrid
Hiring Remotely in United States
120K-130K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
120K-130K Annually
Senior level
The role involves leading analytics, managing data pipelines, ensuring data quality, and translating data into actionable insights for business impact.
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About Axuall

Built with leading healthcare systems, Axuall is a clinical workforce intelligence company built on top of a national real-time practitioner data network. It enables healthcare systems, staffing firms, telehealth organizations, and health plans to accelerate clinician onboarding, improve hiring and workforce planning, and maintain accurate provider data across enterprise systems. By delivering trusted data, AI-powered insights, and seamless data exchange, Axuall empowers healthcare organizations to improve operational efficiency, strengthen clinical coverage, and support revenue capture. Axuall's investors and the organizations they represent comprise over two dozen of the nation's leading healthcare organizations that recognize the imperative to improve clinical workforce efficiency amid significant economic and staffing challenges.

About the Role

Axuall is seeking a Senior Business Intelligence & Analytics Manager to lead how data is leveraged across the business to drive measurable impact. This is a high-visibility, high-ownership role reporting directly to the COO. You will operate at the intersection of data engineering, analytics, and product - owning the pipelines, models, and insights that power internal decision-making and customer-facing value.

What You’ll Do

  • 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 
What You’ll Bring
  • 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)

We encourage you to apply even if you don't meet 100% of the qualifications listed. We recognize that talent and potential come in many forms, and we value diverse experiences and perspectives. If you're passionate about this opportunity and believe your skills and experience align with the overall requirements, we encourage you to submit your application.

What You'll Get From Us

We offer a wide range of benefits for our team including:

  • 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

In addition, Axuall is committed to fostering a diverse, equitable, and inclusive workplace that reflects the communities we serve and empowers every employee to reach their full potential. We encourage DEI through our Diversity in Tech (DiT) Employee Resource Group along with impactful programming that supports and fosters a place of belonging for our team members every day.

Equal Employment Opportunity & Pay Equity Commitment

Axuall is proud to be an equal-opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other legally protected characteristic. Axuall maintains pay-equity practices that prohibit reliance on salary history and require that compensation decisions be supported by legitimate, job-related factors.

Interview Path
  1. Talent Acquisition Interview
  2. Hiring Manager Interview
  3. CFO and CPO 
  4. Reference Calls
  5. Hiring Decision

This role may be performed from any U.S. jurisdiction in which Axuall is registered to do business. Please note that certain localities may impose additional employment requirements that will be addressed during the hiring process. Please also note that we are currently unable to sponsor visas. While this role is remote-first, we require employees to attend an in-person orientation at our headquarters in Cleveland, Ohio. There may also be occasional instances where travel to our HQ is needed.

Pay Transparency & Compensation

Base Salary Range (Good-Faith Estimate): $120,000 - $130,000 
Classification: Full Time
Pay Frequency: Semi-monthly

The posted range represents Axuall’s reasonable and good-faith estimate of the compensation the Company expects to pay for the position at the time of this posting. Actual compensation will be based on factors such as job-related knowledge, skills, experience, and internal equity.


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