Data Specialist
1 day ago
Data Specialist
Location: Remote — Philippines (collaborating daily with the U.S. team)
Employment Type: Full-time
Help us turn data into insight and efficiency. As a Data Specialist, you'll be responsible for collecting, organizing, and maintaining product and vendor data across multiple platforms. You'll ensure data accuracy, automate workflows, and enable smarter decision-making across our operations.
Benefits and Compensation- Permanent Work from Home
- Paid Time Off
- Monthly Performance Bonus
- Annual Bonus
- Health Allowance
- Data management & accuracy: Upload, organize, and maintain spreadsheets to ensure consistency and integrity of product and vendor information.
- Data extraction: Scrape and download data from vendor websites using Octoparse, Python scripts, or similar tools.
- System updates: Process and validate product and vendor data in SAP and DTW.
- Automation & scripting: Use Python or equivalent tools to streamline repetitive workflows and improve data handling efficiency.
- Analysis & reporting: Use Excel (VLOOKUP, XLOOKUP, advanced formulas) to validate, analyze, and reconcile data.
- Quality control: Proactively identify and correct inconsistencies or missing information.
- Collaboration: Work cross-functionally to ensure completeness and accuracy of all product data.
- Continuous improvement: Leverage AI tools and automation technologies to enhance accuracy, speed, and process innovation.
- Website integration: Manage and update product information within Focus Point (backend system).
- 2–4 years of experience in data analytics, data scraping, or related fields.
- Excel expertise — advanced use of formulas, lookups, and data validation.
- Python proficiency (or similar scripting language) for automation and data extraction.
- Experience with Octoparse or comparable scraping tools (required if no Python experience).
- Familiarity with SAP / DTW for data management.
- Basic HTML knowledge for data formatting and web integration.
- Experience with AI tools for productivity or analysis (preferred).
- Exposure to eCommerce or product information systems (a plus).
- Detail-oriented, analytical, and self-driven with a focus on accuracy and improvement.
Data accuracy
• Problem solving
• Process improvement
• Teamwork
• Analytical thinking
• Quality focus
• Dependability
• Continuous learning
• Ethics
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