LifeLens Technologies, Inc. is a medical device developer located in Ivyland, PA. We are pioneering innovative, next-generation treatment devices for personal health monitoring.
We are seeking to hire a Senior Data Analyst. In this role, you will have the opportunity to work on cutting-edge technologies designed to revolutionize wearable health care. You have a collaborative mindset and a passion for developing new technology. You are detail-oriented and goal-driven. You are a capable problem solver with excellent organizational skills and superior verbal and written communication skills. Your passion and drive will be rewarded with a competitive salary, benefits, and long-term growth opportunities.
This is a full-time, on-site position.
Summary
The Senior Data Analyst is responsible for leading the analytical direction of our retrospective data analysis, partnering with Data Engineering to turn raw telemetry into refined, focused data narratives. They build and own the fundamental scaffolding necessary to translate raw telemetry into refined, focused data narratives. They excel at making the tools for company stakeholders, technical teams, and end users to communicate what our data means – and how it can make a difference.
Essential Functions:
- Internal Data Ownership: Lead the intersection of wearable sensor hardware and advanced analytics. You will develop well-documented analysis tools and notebooks on top of the data lake maintained by Data Engineering, and train others to use them. You dive into raw biosignals and give meaning to complex data.
- Recording Metadata Database and Data Curation: Define the requirements for, and curate the content of, our physiological recordings metadata database in partnership with Data Engineering, ensuring inventory and provenance are accurate across all hardware generations. You will manage the inventory and provenance of legacy and new data across all hardware generations to support downstream data products.
- End-to-End Data Storytelling: You build comprehensive data products. From high-fidelity pathology visualizations to rigorous statistical reports, you will own the process from concept to delivery, for audiences ranging from engineers to the C-suite to the end user.
- Complex Data Interpretation: Ingest and curate multi-source, time-and-location tagged data