Data Analyst

The Data Analyst will help build and maintain the company's data and reporting infrastructure from the ground up. This is a hands-on role for a self-starter who can turn repetitive ERP and operational data extracts into sustainable dashboards, analyses, and decision-support tools. The analyst will work across sales, purchasing, inventory, warehousing, and finance, with particular focus on creating reliable reporting in a complex distribution environment. This is an overseas/remote position.

• → Build and maintain sustainable dashboards, reports, and recurring analyses using Excel and/or Google Sheets.
• → Create repeatable reporting processes from ERP, WMS, and other source-data exports.
• → Develop reporting across sales, margin, purchasing, inventory, inbound/outbound operations, and finance.
• → Analyze complex inventory data, including consumption, inventory levels, JIT requirements, and replenishment needs.
• → Support forecasting and historical trend analysis.
• → Identify data quality issues and work with stakeholders to improve reporting reliability.
• → Navigate ERP/WMS platforms to identify source data and develop useful reports or dashboards.
• → Automate repetitive data preparation and reporting tasks where practical.
• → Document reporting logic, formulas, data sources, and refresh procedures.
• → Translate business questions into clear, actionable analyses for leadership.

• → Advanced to expert Microsoft Excel skills, including complex formulas and data manipulation.
• → Experience building and maintaining recurring dashboards and analyses from repetitive source-data uploads.
• → Strong analytical and problem-solving skills with exceptional attention to detail.
• → Experience working with operational data in distribution, warehousing, inventory, logistics, or a related environment.
• → Understanding of inventory concepts, including JIT inventory and complex inventory calculations.
• → Ability to independently structure ambiguous problems and build solutions with limited existing infrastructure.
• → Strong English communication skills.

• Advanced Google Sheets experience.
• Experience with ERP and/or WMS systems; Sage experience is a plus.
• SQL, Python, VBA/macros, or other coding/automation experience.
• Experience with Power BI, Tableau, Looker, or another data visualization platform.
• Experience building forecasts or demand/consumption models.
• Experience in a high-growth or operationally complex distribution business.

• HMO with 1 free dependent upon hire
• Life Insurance
• 10% Night Differential
• 20 PTO credits annually
• VL and SL cash conversion
• Annual Performance-Based Merit Increases and Employee Recognition
• Great Company Culture
• Career Growth and Learnings
• Night Shift
• Work from Home
• 62,000-76,500 PHP