EHM_Data Analyst

:

Data Analyst

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.