Sr. Data Analyst/Data Manager

The role involves managing and organizing large-scale video datasets, building automation tools, and ensuring accurate performance evaluations of models. The ideal candidate should be proactive, hands-on, and capable of handling a small team.

Key Responsibilities

Data Cataloging & Management

• Maintain structured catalogs of video data with consistent labeling and metadata.
• Organize datasets for efficient access, versioning, and reuse across model development cycles.

Tool Development & Automation

• Build or assist in developing internal tools to automate data handling, quality checks, and reporting.
• Streamline data pipelines to support rapid model development and testing.

Accuracy Computation & Reporting

• Implement evaluation pipelines to compute model metrics such as accuracy, precision, recall, etc.
• Generate regular performance reports to support model tuning and validation efforts.

Team Collaboration & Coordination

• Lead a small team (up to 3 members) in daily data-related activities, ensuring quality and timely delivery.
• Coordinate with ML engineers, QA teams, and product stakeholders for end-to-end data lifecycle management.

Qualifications & Required Skills

• B.Tech

• Experience in data analysis, preferably in video/image-based domains.

• Desirable knowledge of data handling tools like Python (pandas, NumPy), SQL, and Excel.
• Familiarity with video annotation workflows, dataset versioning, and evaluation techniques.
• Experience in building or using automation tools for data processing.
• Ability to manage tasks and mentor junior team members effectively.
• Good communication and documentation skills.