Key Responsibilities

1. Efficiently filter and manipulate massive datasets comprising hundreds of ride parameters
2. Support the automated processing of raw CAN data into trackable, standardized ride metrics
3. Analyze extensive sets of vehicle telemetry (including electrical, thermal, and algorithmic metrics) to evaluate system behavior during field testing
4. Monitor ride metrics over time to identify degradation, track fault sequences, and evaluate Ride patterns
5. Develop clear, actionable visual representations (statistical models, histograms, heatmaps, scatter plots) to highlight performance trends and anomalies
6. Compile comprehensive performance reports and live-updating dashboards segmented by vehicle, individual components, firmware versions, and specific test conditions (e.g., environmental factors, geography)
7. Work closely with the engineering and validation teams to assess algorithm functionality and overall component health, providing critical data to support final production release decisions
8. Design and execute test cases to validate any software bugs or edge cases and verify the vehicle functionality.
9. Consolidation of data across different Validation teams, and effective management

Ideal Candidate

1. Bachelor’s degree in Mechanical, Automobile, Electrical Engineering, or a related field
2. 3–5 years of experience in vehicle testing, preferably in the two-wheeler or EV sector, or in the Data Analysis field
3. Familiarity with vehicle telemetry, EV parameters (voltage, current, temperature), and validation processes
4. Understanding of Vehicle Networks (Strongly Preferred): Basic knowledge of CAN bus architecture, DBC decoding, and automotive data formats (such as MF4) to reduce the learning curve
5. Candidates must possess strong proficiency in at least one tool/language from each of the following categories: Python / Google Apps Script / C++ (A basic understanding is highly advantageous for understanding our upstream data automation pipeline)
6. Looker Studio / Grafana / AppSheet / PowerBI (or similar)