Data Operations Lead

7 - 12 years

15 - 30 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

EMPLOYMENT TYPE: Full-Time,

Permanent LOCATION: Remote

SHIFT TIMINGS: 11.00 AM - 8:00 PM IST

What You'll Be Doing:

  • Execute data collection, enrichment, validation, and delivery activities to support business and customer initiatives.
  • Monitor data quality metrics, identify discrepancies, and implement corrective actions to ensure accuracy and consistency.
  • Collaborate with Engineering teams to support data integration, automation, and process scalability.
  • Partner with Product and Business teams to understand data requirements and deliver datasets that meet business objectives.
  • Apply data tools, QA methods, and best practices to maintain high-quality standards across data pipelines and workfl ows.
  • Support vendor-related data operations, including validation and integration of external data sources or enrichment platforms.

Qualifications:

  • Bachelors or Masters degree in Computer Science, Data Analytics, Information Systems, or a related fi eld.
  • 710 years of experience in data operations, data management, or analytics.
  • Strong understanding of data governance, ETL processes, and quality control methodologies.
  • Hands-on experience with SQL, Excel/Google Sheets, and data visualization tools
  • Experience with automation tools like Python script is a plus.
  • Must be capable of working independently and delivering stable, effi cient and reliable software. Excellent written and verbal communication skills in English.
  • Experience supporting and working with cross-functional teams in a dynamic environment.

Preferred Skills:

  • Experience in SaaS, B2B data, or lead intelligence industry.
  • Exposure to data privacy regulations (GDPR, CCPA) and compliance practices.
  • Ability to work eff ectively in cross-functional, global, and remote environments.

REPORTING: This position will report to the VP - Delivery or any other Manager as assigned by Management.

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