Data Operations Analyst

1 - 4 years

2 - 6 Lacs

Posted:6 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

The Data Operations Analyst is responsible for managing the end-to-end onboarding of vessels onto the vessel reporting platform and the ZN Onboard Voyage Optimisation tool. This role ensures seamless integration of vessels into the reporting system while maintaining high-quality standards. The analyst will work closely with customers to understand their reporting needs, create structured reporting templates, ensure that the reported data are of highest quality and support the Technical Onboarding team by mapping relevant data points.

Key responsibilities:

  • Configure vessel-specific reporting templates and ensure data mapping to IMOS and other systems.
  • Conduct testing and validation to maintain data accuracy and compliance with reporting standards.
  • Lead ZN onboarding projects by gathering customer requirements and managing setup and data integration.
  • Collaborate with internal teams to streamline onboarding workflows and enhance efficiency.
  • Communicate effectively with Customer Success Managers, ensuring adherence to SOPs and engagement principles.
  • Identify and resolve root causes of data quality issues, ensuring timely closure and accountability.
  • Prepare and share regular data quality reports (weekly, monthly, quarterly) to track progress and improvements.

Your profile:

  • Tech-savvy and quick to learn new digital platforms and tools with minimal guidance.
  • Self-driven, accountable, agile, and able to stay focused on goals.
  • Strong written and verbal English communication skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Detail-oriented with a strong commitment to maintaining high data quality standards.
  • Prior experience in vessel reporting, onboarding, or maritime operations is a plus (not mandatory).
  • Excellent analytical and problem-solving abilities with a keen eye for detail.
  • Strong interpersonal skills to collaborate effectively with internal teams and external customers.
  • Ability to manage and prioritize tasks in a dynamic, fast-paced environment.

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