Analytics Engineer

Summary

Hipp Health is an AI-native healthcare platform modernizing operations for non-hospital healthcare providers through clinical, billing, revenue cycle, and operational workflow solutions. The Analytics Engineer will build and improve the data platform supporting ML and AI initiatives, develop data models, dashboards, and reports, and collaborate with Product Managers and Data Scientists to ensure scalable, accurate, and reliable data systems.

Responsibilities

• Contribute to the continuous improvement of our data infrastructure and BI processes
• 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

Skills

• 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
• Data Pipelines: Experience with building and maintaining data warehouses for ETL, operational analyses, stakeholder reporting, etc
• 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)
• 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
• Experience working in the health industry or with healthcare-related data (e.g., patient data, clinical trials, operational metrics)
• Deep experience with DBT
• Hands-on experience with a programming language outside of SQL or SAS, especially Python or R

Qualifications

Must Haves

• 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
• Data Pipelines: Experience with building and maintaining data warehouses for ETL, operational analyses, stakeholder reporting, etc
• 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)
• 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

Nice to Haves

• Experience working in the health industry or with healthcare-related data (e.g., patient data, clinical trials, operational metrics)
• Deep experience with DBT
• Hands-on experience with a programming language outside of SQL or SAS, especially Python or R

Benefits

• Remote work
• 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
• Own meaningful product and technical problems with a high degree of autonomy
• Have a direct impact on how the company and product evolve