Product Data Optimization Specialist

13 hours ago

Shimoga, Karnataka, India beBeeDataOperations Full time ₹ 4,00,000 - ₹ 6,00,000
Job Title: Data Operations Executive

About the Role:

As a Data Operations Specialist, you will be part of our team responsible for ensuring accurate and optimized product data for business use. You will collaborate closely with vendors, internal teams, and technology platforms to manage product listings, collate and clean data, and streamline workflows that power our platform.

Key Responsibilities:

  • Upload and maintain product data across our systems.
  • Ensure accuracy and consistency of product attributes (size, finish, pricing, categories).

Vendor Coordination:

  • Interact with vendors to collect and validate product data.
  • Follow up with vendors for missing details or corrections.

Data Cleaning & Collation:

  • Collect raw data from multiple sources and transform it into structured formats.
  • Identify inconsistencies, duplicates, and errors in data, and resolve them proactively.

Data Analysis & Queries:

  • Use SQL to query, validate, and manipulate datasets.
  • Generate reports and insights to support internal teams.

Excel Mastery:

  • Create and maintain detailed Excel sheets for bulk product uploads and validations.
  • Build advanced formulas, pivot tables, and automated checks for efficiency.

Process Efficiency:

  • Maintain high standards of data hygiene across all systems.
  • Contribute to process improvements and automation initiatives.

Requirements:

  • 1–2 years of work experience in data operations, catalog management, or related fields.
  • Proficiency in SQL with ability to write and optimize queries.
  • Strong skills in Excel (advanced formulas, pivot tables, data cleaning tools).
  • Excellent aptitude, problem-solving ability, and attention to detail.
  • Good communication skills for coordinating with vendors and cross-functional teams.

Why Join Us?

  • Be part of a high-growth startup transforming the interior décor materials industry.
  • Work on large-scale datasets impacting the way customers shop for materials.
  • Opportunity to grow into Data Analytics, Product, or Operations leadership roles.

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