EHM Data Analyst (Expert) for Statistical analysis

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

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 Master’s degree in Electronics/Electrical/Computer Science/Data science, Statistics engineering.

Additional Information

5+