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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in data handling and analysis, with expertise in Python, BigQuery, and data quality checks. Capable of maintaining datasets and generating reports while effectively communicating findings in English.
Highest-signal resume keywords
Data AnalysisPython ProgrammingBigQuery KnowledgeExcel / Google Sheets ProficiencyE-commerce Data Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Quality ChecksAutomated Data LoadsScheduled QueriesData DocumentationInventory Reconciliation
Soft Skills
Detail-OrientedLogical ThinkingClear Communication
Tools & Technologies
BigQueryPythonApps ScriptExcelGoogle Sheets
Industry Keywords
E-commerceRetailLogisticsMarketplace DataData Engineering
Tech Stack
Tools & technologiesBigQueryERPJavaScriptPython
About the role
Key responsibilities & impact- Handle raw data using manual and automated methods
- Maintain datasets across raw, cleaned, and reporting layers
- Automate data loads and refreshes using scheduled queries, Python, or Apps Script
- Run inventory reconciliations across WMS, ERP, and OMS and flag variances
- Perform data quality checks for row counts, duplicates, nulls, mismatched SKUs, and late loads
- Maintain dashboards and weekly/monthly reports for Operations users
- Document tables, logic, and jobs so others can run and troubleshoot them
- Handle ad-hoc data requests with clear, verified answers
- Identify data issues and coordinate, track, and resolve them with Country Operations
Requirements
What you’ll need- 1–2 years in a data analyst, BI, or data engineering role
- Good at Excel / Google Sheet
- Logical and detail-oriented; able to check totals and trace mismatches to root cause
- English for documentation and work communication
- Knowledge of BigQuery, including partitioned tables, scheduled queries, and cost-aware querying, is an advantage
- Knowledge of Python or JavaScript (Apps Script) for automating loads, API calls, and file handling is an advantage
- E-commerce, retail, logistics, or marketplace data experience
Benefits
Comp & perks- Fast-paced, challenging work in e-commerce operations with exposure to rapid replenishment cycles, tight fulfilment timelines, and demand spikes during campaigns
- Career growth and development opportunities
- Exposure to leading international brands, multi-warehouse operations, and omni-channel fulfilment solutions
- Opportunity to work with advanced in-house systems and automated, API-integrated warehouse processes
- International collaboration with country operations teams and regional experts
- Entrepreneurial initiative encouraged; opportunities to contribute ideas and implement improvements
- Collaborative, transparent, supportive culture with team lunches, after-work hangouts, events, and social activities
- Formal training through face-to-face sessions, coaching, and Intrepid Academy
- Real-world development through client leadership, advanced technology, and best-in-class processes
- Comprehensive insurance
- Ample leave
- Competitive compensation