Description

Key Skills: Python, SAP, Data Analysis, ETL, FoxPro, Cloud Platforms, Data Modeling, Unix, Microsoft Office, Retail Operations

Good to Have Skills: Experience with FTP and MFT setup and maintenance, understanding of factory processes, extensive knowledge in POS and supply chain, transactional data handling, TLog data formats, business process modeling concepts, statistics or data analytics background, local market language skills, flexibility to work across different time zones.

Roles & Responsibilities:

• Collaborate with the Supplier Engagement Lead on retailer onboarding and ensure compliance for received data.
• Track retailer or vendor data quality and conduct regular reviews with internal stakeholders and retailers.
• Handle large data sets with exposure to multiple formats and manage transactional data processing.
• Extract, transform, load, and clean large data sets from multiple sources using Python and other tools.
• Plan and follow up on operational activities including data corrections due to MSD or other data errors.
• Act as the internal SPOC for Ops and regional leadership teams providing updates on KPIs and market progress.
• Send data reminders and manage data receipt from retailers while communicating with stakeholders to resolve data issues.
• Conduct quality checks including eDive primary testing of data and RAP scoring for data validation.
• Address data queries arising from quality checks and provide timely updates and visibility to stakeholders.
• Identify new operational efficiency opportunities within existing retailers and collaborate with various teams to realize them.

Experience Required: 3+ years of relevant professional work experience with strong technical knowledge and business interpretation of data.

Education: Master's Degree or technical institute degree/certificate in statistics or data analytics, or equivalent work experience

Key Skills

Education

Any Graduate