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

• 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.

Disclaimer : This job posting has been aggregated from external source. Role detailscontentand availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.