At Health Innovation Labs, we are a remote-first company revolutionizing healthcare through cutting-edge technology, delivering innovative solutions that transform how care is accessed, delivered, and managed. As a dynamic and fast-paced organization, we thrive at the intersection of healthcare and technology, empowering providers, patients, and organizations to achieve better outcomes through smarter, more efficient systems.
Our team of forward-thinkers is dedicated to solving complex challenges with creativity and precision. Whether it’s streamlining workflows, enabling real-time data insights, or enhancing patient engagement, Health Innovation Labs is at the forefront of reshaping the future of healthcare. Rooted in innovation and driven by impact, we embrace agility and collaboration as our core strengths. In a rapidly evolving industry, we remain steadfast in our mission: to advance healthcare systems for a healthier, more connected world. Join us as we push boundaries and reimagine what’s possible in healthcare technology.
About the Role:
We are seeking a talented and driven Analytics Engineer to join our growing data team. In this role, you will play a key part in building and maintaining a scalable data infrastructure that powers data-driven decision-making across the organization. You will work closely with stakeholders to develop robust data models, optimize data pipelines, and ensure high-quality data accessibility.
As an Analytics Engineer at Health Innovation Labs, you will leverage your expertise in SQL, dbt, Looker, and Google Cloud Platform (GCP) to transform raw data into meaningful insights. You will collaborate with cross-functional teams in a fully remote environment, helping to drive innovation in healthcare technology. If you're passionate about data and excited about making an impact in the healthcare industry, we’d love to hear from you!
What You’ll Do:
* Design, develop, and maintain scalable data models using dbt to support business intelligence and analytics.
* Optimize SQL queries for data extraction, transformation, and analysis to ensure efficiency and performance.
* Build and manage semantic models in Looker, enabling intuitive and insightful reporting for stakeholders.
* Develop, maintain, and enhance data pipelines on Google Cloud Platform (GCP), ensuring reliable and efficient data processing.
* Collaborate with Lead and Senior Analytics Engineers to define and implement best practices for data modeling and analytics.
* Ensure data accuracy, consistency, and integrity through proactive monitoring, testing, and validation processes.
* Document data models, workflows, and processes to improve transparency and facilitate knowledge sharing.
* Troubleshoot and resolve data issues to ensure seamless data accessibility and usability.
* Communicate effectively with remote teams and stakeholders, fostering a culture of collaboration and data-driven decision-making.
About You:
* Strong proficiency in SQL, with experience in writing and optimizing complex queries.
* Hands-on experience with dbt for data transformation and modeling.
* Proven ability to design and implement semantic models in Looker to support business intelligence.
* Solid understanding of Google Cloud Platform (GCP) data services, such as BigQuery and Cloud Storage.
* Experience in data warehousing, data modeling, and ETL processes.
* Strong problem-solving and analytical skills, with a keen eye for detail and accuracy.
* Excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.
* Ability to work independently, prioritize tasks, and manage multiple projects in a fast-paced setting.
* A proactive, detail-oriented mindset with a commitment to data governance and quality best practices.
What We Offer:
* Join a high-impact team shaping the future of healthcare technology.
* Competitive package.
* Remote-first work environment with flexibility.
If you're excited about working at the intersection of data and healthcare innovation, apply today and help us transform the future of healthcare through data-driven solutions!
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Analyst, Engineering, and General Business
Industries
Technology, Information and Internet, Health and Human Services, and Data Infrastructure and Analytics
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