EHM_Data Analyst (Expert) for Statistical analysis
EHM_Data Analyst (Expert) for Statistical analysis
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1 Vacancy
Job Description
Job Description:
Data Analyst with expertise in analyzing MEMS (Micro-Electro-Mechanical Systems) sensor time-series data. The ideal candidate will have strong statistical analysis skills experience with key performance indicator (KPI) computation and the ability to extract meaningful insights from large datasets.
Key Responsibilities:
- Process analyze and interpret time-series data from MEMS sensors (e.g. accelerometers gyroscopes pressure sensors).
- Develop and apply statistical methods to identify trends anomalies and performance metrics.
- Compute and optimize KPIs related to sensor performance reliability and drift analysis.
- Use appropriate MATLAB toolboxes (like Data cleaner GT labeler) or Python modules for data validation data annotation and anomaly detection.
- Clean preprocess and visualize large datasets to uncover patterns and insights.
- Collaborate with cross-functional teams including hardware engineers software developers and product owners.
- Convert data into the required data schema to upload it into the data pipelines for simulation and algorithm development.
- Document methodologies findings and recommendations in clear technical reports.
Required Qualifications:
- Strong proficiency in Python or MATLAB for data analysis and visualization.
- Experience with time-series analysis signal processing and statistical modeling (Autocorrelation Moving Averages Seasonal Decomposition) to identify trends and patterns.
- Knowledge of MEMS sensor technologies and data acquisition systems.
- Hands-on experience with pandas NumPy SciPy scikit-learn matplotlib for data cleansing and analysis.
- Ability to generate automated KPI reports and build dashboards using Power BI or Tableau
Preferred Qualifications:
- Experience in smartphone hearable or wearable sensors
- Knowledge of MEMS sensor data wrangling techniques.
- Knowledge in handling data over cloud platforms (AWS Azure GCP) is an added advantage.
- Familiarity in real-time data streaming processing toolboxes is an added advantage.
Qualifications :
Bachelor or Masters degree in Electronics/Electrical/Computer Science/Data science Statistics engineering.
Additional Information :
5
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
