Data Analyst

Data Analyst

Job Location: Bangalore ( Work from Office)

Experience: 3\+ to 6 years

Only candidates ready to join immediately should apply.

Education: Bachelors or Masters in Computer Science, Electrical/Electronic Engineering from tier\-I universities

Relevant Experience Required: 3 years to 6years

Skill Requirements

Essential Skills

• Python expertise with Pandas, NumPy, and data processing libraries.
• Experience with ADAS data or time\-series event\-triggered datasets.
• Knowledge of data synchronization techniques for multi\-sensor systems.
• Familiarity with containerized workflows (Docker/Kubernetes) and cloud environments (AWS/GCP).
• Experience handling Parquet files and optimizing large\-scale data processing.
• Expertise in Grafana and KPI\-based dashboard development.
• Strong understanding of Git\-based toolchains and version control practices.
• Ability to collaborate with SMEs for data extraction based on formulas and timestamps.

Preferred Qualifications

• Experience in automotive/ADAS validation workflows.
• Knowledge of time\-series databases and cloud\-based data streaming.
• Familiarity with SQL and NoSQL databases for structured event data management.

Key Job Responsibilities

1\. Data Processing \& Synchronization

• Work with ADAS event\-triggered data from multiple sources with different sampling rates.
• Handle time synchronization across networks and manage missing timestamps.
• Extract event data using timestamps and formulas defined by Subject Matter Experts (SMEs).

2\. Scripting \& Automation

• Develop Python scripts for data extraction, transformation, and analysis.
• Process data using containerized workflows to convert raw formats into Parquet.
• Optimize scripts for scalability and efficient execution on large datasets.

3\. Data Storage \& Cloud Integration

• Work with Parquet\-formatted data stored in Git\-hosted toolchains.
• Support cloud migration from existing platforms to Google Cloud Platform (GCP).

4\. Dashboarding \& KPI Visualization

• Develop Grafana dashboards to present analysis results using KPI formulas.
• Enable real\-time monitoring and visualization of ADAS test results.

5\. Collaboration \& Documentation

• Work with SMEs, data engineers, and validation teams to define data extraction rules.
• Maintain documentation for scripts, analysis methods, and dashboard configurations.

Pay: ₹600,000\.00 \- ₹1,500,000\.00 per year

Benefits

• Flexible schedule
• Provident Fund

Work Location: In person