Analytics Engineer I

IVX Health is growing fast, and we’re looking for an entry-to-mid-level Analytics Engineer I to join our highly collaborative Finance and Data Team. This is an exciting opportunity to grow your career in data engineering while supporting a mission-driven healthcare organization. We’re seeking someone who loves turning data into insights and is ready to build scalable solutions in a dynamic, fast-paced environment.

This role is based in our Brentwood, TN headquarters and follows a flexible hybrid schedule with four in-office days per week with additional flexibility.

New grads/early career candidates encouraged to apply!

About the Role

IVX Health is seeking an Analytics Engineer I to support our Finance & Data Analytics team in transforming data into meaningful insights that drive clinical, operational, and financial decision-making. This entry-level role offers the opportunity to develop data pipelines, support reporting and dashboard solutions, and help maintain accurate, reliable data across the organization. The ideal candidate brings foundational SQL and analytics knowledge, strong problem-solving skills, and a desire to grow in data engineering and business intelligence.

What You Will Do

• Reporting & Analytics Support: Assist the Analytics Engineering and BI teams in developing, maintaining, and enhancing standardized and ad hoc reporting solutions that support operational, financial, and clinical decision-making across IVX Health.
• Dashboard Development: Support the design, validation, and enhancement of dashboards, visualizations, and reporting assets using tools such as Tableau, Power BI, or similar analytics platforms. 
• Data Governance & Quality: Participate in data governance initiatives by helping maintain data definitions, business rules, metric documentation, and data quality standards to ensure consistency and trust in reporting. 
• Data Analysis & Validation: Analyze data to identify trends, discrepancies, and opportunities for improvement. Assist with validating data accuracy and reconciling results across reporting solutions. 
• SQL Development: Develop and maintain SQL queries, views, and related reporting logic to support analytics, business intelligence, and operational reporting needs. 
• Documentation & Metadata Management: Create and maintain documentation for reports, dashboards, KPIs, business definitions, data sources, and reporting processes to improve transparency and knowledge sharing across the organization. 
• Stakeholder Collaboration: Partner with business stakeholders to gather requirements, understand reporting needs, answer questions, and support the delivery of actionable insights. 
• Knowledge Sharing & Professional Development: Participate in team knowledge sharing and contribute to documentation and best practices while continuing to develop reporting, governance, proficiency in SQL, and analytics engineering practices. 

Essential Competencies & Skills

• Foundational knowledge of SQL and relational databases.
• Exposure to Tableau, Power BI, or similar data visualization tools through coursework, internships, or hands-on projects.
• Basic understanding of data preparation, data quality, reporting, and analytics concepts.
• Strong analytical, problem-solving, and critical-thinking skills, with the ability to break down complex problems into manageable steps.
• Excellent attention to detail and a commitment to producing accurate, reliable work.
• Effective written and verbal communication skills, including the ability to explain findings to technical and non-technical audiences.
• Ability to collaborate across teams, take ownership of assigned responsibilities, and seek guidance when needed.
• Adaptability, receptiveness to feedback, and a commitment to continuous learning and professional development.

Required Education & Experience

• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, or a related field preferred; equivalent education, technical training, certifications, or relevant experience may be considered.
• 0–1 years of relevant experience in data or analytics, including internships, co-ops, academic research, capstone projects, personal projects, or professional experience.
• Practical exposure to data analysis, reporting, or data visualization through coursework, internships, research, projects, or professional experience.
• Interest in healthcare analytics and data-driven decision-making preferred.
• Exposure to cloud-based data platforms, data warehouses, or analytics technologies preferred but not required.