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 sensorsKnowledge 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

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