About The Role

Axuall is seeking an accomplished, energetic, and highly motivated Senior Data Analyst to join our Product team at a pivotal moment in our growth. This is a unique, high-impact role that sits at the intersection of product delivery and revenue generation: you will be responsible for key customer-facing insights and serve as a partner to our Sales team in winning new business.

You'll work closely with Axuall's Data Scientist to develop advanced analytical insights into healthcare provider profiles using sophisticated modeling techniques. You'll bring that same rigor to customer-facing dashboards, utilization trends, and ROI storytelling across Axuall's provider recruiting, credentialing, and directory management solutions. You will then carry it into presales, helping prospective health systems see, in their own data, what Axuall can do for them.

The ideal candidate is highly detail-oriented, a self-starter, diligently organized, possesses excellent communication skills, and has a passion for excellence and values education, integrity, innovation, and success.
What You'll Do

This role will focus on delivering data insights and analytics capabilities across Axuall's customer base and go-to-market functions. You will be the analytical engine behind our customer-facing reporting, helping health systems understand the value Axuall delivers across provider recruiting, credentialing, and directory management. We are looking for people who feel comfortable taking on bold initiatives, who are both highly accountable and self-empowered. Some of the specific functions and responsibilities of this role include:

Customer Product Delivery

• Build and maintain customer-facing dashboards and reports that surface utilization trends, workforce insights, and automation ROI across provider recruiting, credentialing, and directory management
• Own the data analyst function across Axuall's customer-facing products, ensuring that reports, dashboards, and visualizations are accurate, insightful, and directly valuable to health system clients
• Translate complex provider workforce data into clear, intuitive visualizations that health system stakeholders, from operations to the executive suite, can act on

Presales & Proof of Concept

• Partner with the Sales team to produce data-driven proof of concept reports for prospective clients, demonstrating in their own data what Axuall's products can deliver
• Develop reusable POC templates and frameworks that scale consistently across the sales cycle

Advanced Analytics & Data Science Collaboration

• Work closely with and assist Axuall's Data Scientist in building complex analytical models and deep insights on clinicians and providers that are delivered directly to health system customers

Data Source Analysis & Integration

• Analyze new data sources to understand how they connect to Axuall's provider data model and evaluate how they can be leveraged across our products
• Document and communicate data relationships and integration opportunities to product and engineering teams

Data Quality

• Assist the data science and engineering teams in maintaining robust data quality standards across the platform, identifying anomalies, gaps, and inconsistencies before they reach customers

What You'll Bring

Candidates for the Senior Data Analyst role must demonstrate hands-on experience and knowledge of industry best practices in the functions listed above. Specific requirements include:

• 4+ years of experience in a Data Analyst, BI Analyst or similar role
• A deep understanding of healthcare data, especially claims data, provider specialties, referral, quality, and utilization dynamics. Familiarity with claims coding standards such as CPT, ICD, and UB-04 a plus.
• Proficiency in SQL and at least one BI/visualization tool (Omni, Tableau, Looker, or equivalent)
• Strong data wrangling skills and 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
• Experience supporting presales, solution engineering, or proof-of-concept functions is a plus
• Familiarity with healthcare data concepts (Claims data, credentialing data) is a plus
• Python or R for data analysis and automation is a plus
• Excellent written and verbal communication skills
• Possess a proven track record of taking ownership, taking initiative, and delivering results

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.
Interview Path

1. Talent Acquisition Interview
2. CPO Interview
3. Hiring Manager Interview
4. Team Interview
5. Case Study

Reference Calls & 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): $115,000 - $130,000
Employment 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.