Data Manager - Marketing Operations

3 - 8 years

9 - 13 Lacs

Posted:8 months ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a talented and motivated Data Manager to join our Marketing Operations team. As a Data Manager, you will be responsible for enriching, uploading, and maintaining datasets that support our revenue optimization efforts. You will collaborate closely with cross-functional teams to ensure data accuracy, integrity, and usability for analytics and reporting purposes.

Key Responsibilities:

  • Routing Management: Ensure accurate lead routing to the right team members. Manage routing rules when team members join or leave.
  • Process Optimization: Continuously optimize inbound data processes, including the list import process, to ensure data is consistently collected and maintained in the correct format and structure.
  • Data Quality Assurance: Monitor and maintain the quality of all go to market datasets, ensuring that they contain complete and accurate information. Implement data validation checks and corrections as needed.
  • Enrichment Workflows: Create and manage data enrichment workflows to enhance the quality of our database, ensuring that we have the most up-to-date and comprehensive information on leads and prospects.
  • Purge Strategy: Develop and execute a data purge strategy to remove obsolete or redundant data, keeping the database clean and compliant with vendor contracts.
  • Collaboration: Collaborate with various teams, including Sales, Marketing, Customer Success, and Channel, to support them in their reporting needs.
Qualifications:
  • Bachelors degree in Data Management, Computer Science, Business Analytics, or a related field.
  • Proven experience in a data management or similar role, with a strong focus on data integrity.
  • Experience with data enrichment from providers such as ZoomInfo and Lusha.
  • Strong experience with data automation tools such as Openprise.
  • Experience with CRM tools (Salesforce) and MAP tools (Marketo).
  • Excellent problem-solving and communication skills.
  • Ability to work independently and collaboratively in a team environment.
  • Strong attention to detail and commitment to delivering high-quality data solutions.

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