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 (MicroElectroMechanical Systems) sensor timeseries 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 timeseries 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 crossfunctional 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 timeseries 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.
- Handson experience with pandas NumPy SciPy scikitlearn 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 realtime 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 :
Fulltime
Employment Type
Full-time
