Analytics Engineer

About Hipp Hipp is an AI-native healthcare platform built to modernize operations for non-hospital healthcare providers. We partner closely with ABA, behavioral health, and therapy organizations to streamline clinical workflows, billing, and revenue cycle operations — so providers can focus on delivering care. Our platform combines EMR, billing infrastructure, and operational workflows with AI-driven automation, helping providers run more efficient practices and improve patient outcomes. We’re building the next generation of healthcare infrastructure and are looking for thoughtful, product-minded engineers who want to build real systems, move quickly, and take ownership in a fast-moving startup environment. Role Overview We are seeking an experienced and highly motivated Analytics Engineer to join Hipp Health. This person will drive the creation, maintenance, and improvements of our entire data platform underlying our ML and AI efforts. They will also ideate, create, and refine the data modeling that our clients rely on every day to drive their operations and use to inform their strategic decisions. This role requires a strong background in data visualization, SQL, and data analysis. This person will collaborate with Product Managers and Data Scientists to architect scalable schemas and maintain high standards for warehouse integrity and precision. Experience within the health sector is a significant advantage. Key Responsibilities Contribute to the continuous improvement of our data infrastructure and BI processes. Drive the continued evolution and optimization of our analytics data platform. Develop, maintain, and manage dynamic dashboards and reports using data visualization tools. Write complex SQL queries to extract, manipulate, and analyze data from various sources. Perform in-depth data analysis to identify trends, patterns, and root causes, and present findings clearly to stakeholders. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Monitor data quality and integrity, ensuring accuracy and reliability of reports. Product analytics: understand, analyze usage and use insights to drive data-driven product strategy Required Qualifications Experience Minimum of 3+ years of professional experience in Analytics Engineering, Data Engineering, or Data Analytics, with a focus on building production-ready data pipelines and models. Technical Skills Data Pipelines: Experience with building and maintaining data warehouses for ETL, operational analyses, stakeholder reporting, etc. Data Engineering: Experience with orchestration layer (e.g., Airflow, Prefect), data governance, OLAP database, schema design, query optimization Proficiency with Git workflows (branching, pull requests, code reviews) to manage data transformation code. Data Visualization: Proven expertise in a major BI tool (e.g., Omni, Tableau, Power BI, Looker) for creating compelling reports and dashboards. SQL Expertise: Advanced skill in writing complex SQL queries for data extraction and analysis, especially in the context of DBT projects. Data Analysis: Strong analytical and problem-solving skills with the ability to interpret large datasets and provide data-driven recommendations. Experience with software development best practices (CI/CD, unit testing, documentation, modular coding). Soft Skills Excellent communication and presentation skills, with the ability to explain complex data concepts to non-technical audiences. Detail-oriented with a commitment to producing high-quality, accurate work. Ability to manage multiple priorities and meet deadlines in a fast-paced environment. Preferred Qualifications Experience working in the health industry or with healthcare-related data (e.g., patient data, clinical trials, operational metrics). Hands-on experience with a programming language outside of SQL or SAS, especially Python or R Deep experience with DBT Why Join Hipp Build real production systems used by healthcare providers every day Join Hipp’s early engineering team and help shape the architecture, systems, and product foundations of the company Work at the intersection of AI, healthcare infrastructure, billing, and modern software systems Own meaningful product and technical problems with a high degree of autonomy Move quickly, ship often, and have a direct impact on how the company and product evolve Help modernize healthcare operations for providers delivering critical care to patients