Data Analyst
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Job Location:
West New York, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Start/End Dates: 20/04/2026 - 19/01/2027
Work Location: US - NY - New York (132100)
Job Title: Data Analytics & Engineering - Data Analyst
Job Description: Summary:
The main function of the Data Engineer is to develop evaluate test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans policies and practices that control protect deliver and enhance the value of the organizations data assets.
Job Responsibilities:
Design plan and execute data collection studies working closely with research and product teams to gather high-quality biosensor data.
Monitor and maintain the quality and integrity of large datasets implementing robust data validation cleaning and quality custom/specialized monitoring processes for multiple sensor streams (IMU EMG optical sensors etc).
Debug and troubleshoot firmware and software issues related to data collection ensuring reliable data acquisition from hardware sensors.
Execute debug and optimize distributed compute workflows for metric computation and analysis across large datasets.
Build modify and maintain custom/specialized benchmarking tools frameworks and flows for evaluating and comparing model performance on large datasets.
Generate and test hypotheses and analyze and interpret the results of data collection experiments.
Leverage data visualization to help the team make decisions.
Skills:
Experience with hardware sensors data collection infrastructure and data analysis pertaining to real-world human data.
Experience with signal processing pertaining to time domain signals and/or medical imaging systems.
Experience working with and managing large high-dimensional datasets.
2 years of experience performing data extraction manipulation and visualization using Python and SQL.
Strong debugging skills particularly related to data acquisition and firmware/software interfaces.
Experience with Javascript/Typescript for front-end UI development.
Experience with scientific computing and analysis packages such as NumPy SciPy Pandas.
Experience with data visualization libraries such as Matplotlib Pyplot Seaborn ggplot2.
Education/Experience:
Bachelors or Master of Science degree in computer science electrical engineering statistics neuroscience biomedical engineering or other relevant field is required.
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
