Senior Analytics Engineer

The Analytics Engineer will support data, automation, and AI initiatives focused on Revenue Cycle Management (RCM), with an emphasis on automating the Accounts Receivable (AR) Follow-Up function. This role will design scalable, production-grade data models using dbt in a modern cloud-based lakehouse environment.

In addition to core analytics engineering responsibilities, this position will help enable AI-driven workflows such as intelligent account prioritization, denial trend detection, predictive insights, and workflow optimization. The ideal candidate brings strong analytics engineering fundamentals, modern data stack experience, and a systems-oriented mindset.

Responsibilities

- Design, build, test, and maintain high-quality data models and transformation pipelines using dbt in a distributed data environment.
- Develop scalable, reusable, and well-tested data models, macros, and automation logic supporting AR Follow-Up workflows.
- Partner with operations, product, and engineering stakeholders to translate business workflows into reliable, automated data solutions.
- Establish and follow analytics engineering standards, including modeling conventions, testing practices, and documentation.
- Participate in technical design discussions, architecture reviews, and code reviews to ensure data quality and long-term scalability.
- Troubleshoot and resolve complex data issues across ingestion, transformation, and reporting layers.
- Optimize data tables and processing workloads for performance, scalability, and cost efficiency.
- Support datasets enabling account prioritization, denial analysis, aging performance, and workflow automation.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

- Experience with healthcare RCM data (claims, denials, payments, AR aging).
- Familiarity with AR Follow-Up workflows or denial management processes.
- Experience supporting automation, workflow optimization, or rule-based systems.
- Exposure to ML feature engineering or AI-enabled analytics.
- Experience in regulated or compliance-driven environments.

- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- 5+ years of experience in analytics engineering, data engineering, or advanced BI roles.
- Strong hands-on experience with dbt or similar ELT frameworks.
- Experience with distributed data platforms such as Databricks, Spark, or equivalent.
- Advanced SQL skills and experience working with large-scale data transformations.
- Solid understanding of analytics engineering best practices, including automated testing, CI/CD, and data governance.
- Strong communication skills and ability to work cross-functionally.
- Interest in supporting AI, ML, or intelligent automation initiatives.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.