Analytics Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 9h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 74d ago
The date the source published, not the day we noticed it (2026-08-19). Last seen at its source 1h ago.
We have tracked this listing since 23 Oct 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $155k–225k/yr
Middle 50% of 5310 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Ashby employer's own board first seen 10d ago · last seen 1h ago
The listing
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
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