Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Analyst at eClerx Career Site

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

0.0

Posted On

26 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Operational Workflows, Product Data Quality, Data Validation, eCommerce Platforms, Data Extraction, Data Analysis, KPI Tracking, Process Documentation, Microsoft Excel, VLOOKUP, Pivot Tables, Attention To Detail, Organizational Skills

Industry

IT Services and IT Consulting

Description

Execute daily product data management tasks and operational workflows Generate basic reports on product data quality, completeness, and accuracy Process and validate product information updates across eCommerce platforms Maintain and update product catalogs with accurate specifications and attributes Conduct data quality checks and identify discrepancies or errors Support senior team members with ad-hoc data extraction and analysis requests Track and monitor key operational metrics and KPIs Assist in maintaining documentation of processes and standard operating procedures Bachelor's degree in any discipline 0-2 years of experience in data operations, eCommerce support, or similar roles Intermediate to advanced proficiency in Microsoft Excel (formulas, VLOOKUP, pivot tables) Strong attention to detail and commitment to data accuracy Ability to work with large datasets and perform basic data analysis Good understanding of eCommerce operations and product data concepts Strong organizational skills and ability to manage multiple tasks efficiently Familiarity with eCommerce platforms (Amazon, Flipkart, Shopify, etc.)

Responsibilities

The role involves executing daily product data management tasks, maintaining product catalogs with accurate specifications, and processing information updates across various eCommerce platforms. Responsibilities also include generating basic reports on data quality and supporting senior staff with ad-hoc data extraction and analysis.