Senior Data Analyst – Wearable Health Analytics

LifeLens Technologies Inc.; Ivyland (PA); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Health Insurance

Dental & Vision Insurance

Paid Time Off

401(k)

Stock option incentive plan

FSA & dependent care

Job summary

LifeLens Technologies, Inc. in Ivyland, PA seeks a Senior Data Analyst to lead retrospective data analysis and translate raw telemetry into meaningful narratives. You will own analytics tooling, partner with Data Engineering, and deliver data products for engineers, executives, and users.

You will define metadata, curate data provenance, and advance ML workflows, ensuring robust anomaly detection and integrated dashboards in a rapidly evolving hardware/software ecosystem.

Qualifications

• Master’s degree in computer science, computer engineering, or a related technical discipline or 15+ years of experience in total preferred.
• 10+ years of experience in Software Development with at least 7+ years acting as a Data Analyst or Data Scientist.

Responsibilities

• Lead the analytical direction of retrospective data analysis and partner with Data Engineering.
• Build and own tools to translate raw telemetry into refined data narratives.
• Create data products and visualizations for engineers, executives, and end users.
• Ingest multi-source, time-stamped data and define ontologies for analysis.
• Lead architecture of lighthouse data products and collaborate with Algorithm Development.

Skills

Python

MATLAB

Data analysis

Time-series data

ML workflows

Git

CI/CD

Data visualization

Big data

HDF5/Parquet

Education

Master’s degree in CS/CE or related field

15+ years total experience

Tools

HDF5

Parquet

Git

CI/CD

Jupyter/Notebooks

Job description

LifeLens Technologies, Inc. in Ivyland, PA seeks a Senior Data Analyst to lead retrospective data analysis and translate raw telemetry into meaningful narratives. You will own analytics tooling, partner with Data Engineering, and deliver data products for engineers, executives, and users.

You will define metadata, curate data provenance, and advance ML workflows, ensuring robust anomaly detection and integrated dashboards in a rapidly evolving hardware/software ecosystem.