Operations Data Analyst

Who we are

Intrepid Asia is a leading Ecommerce and Digital Solutions Provider in South East Asia. We offer end-to-end omni-channel ecommerce management, Livestreaming, Video production & Affiliate Management for Social Commerce plus full funnel Digital Marketing Services and advanced Market Intelligence, all powered by state of the art inhouse Technology to our client base of leading international brands across all key marketplaces and social platforms in all 6 SEA countries. Brands love our regional presence, our excellent data-driven and growth-focused services which are enabled by the strongest team in the industry, and our advanced marketing and tech capabilities.

We are growing rapidly and as the exclusive partner of Flywheel in SEA, we offer many exciting opportunities to work with leading brands across multiple categories and key industry players. By joining us, you will work on the cutting edge of digital and social commerce in SEA, and experience what it takes to drive a successful e-commerce business end-to-end.

The team you will be part of

Our Operations Team ensures that everything runs like clockwork behind the scenes—managing warehouse activities, inventory flow, and fulfilment with precision and efficiency. From stock accuracy to timely dispatch, the team plays a crucial role in delivering a seamless end-to-end eCommerce experience. With a strong focus on process, coordination, and control, Operations keeps our promises to customers and clients every single day.

The part you will play

You will turn multi-structured data from OMS, WMS, and ERP into clean data tables and automated reports. Your work replaces manual Excel downloads with scheduled, self-checking pipelines. Identify data errors and coordinate with Country Operations for timely action.

As the Operations Data Analyst you will take charge of

• Handle raw data using both manual and automated methods. Maintain datasets: raw → cleaned → reporting layers
• Automate data loads and refreshes using scheduled queries, Python, or Apps Script
• Run inventory reconciliations (WMS vs ERP vs OMS) and flag variances
• Perform data quality checks: row counts, duplicates, nulls, mismatched SKUs, late loads
• Maintain dashboards and weekly/monthly reports for Ops 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. Coordinate, track, and resolve them with the Country OPS.

Requirements

• 1–2 years in a data analyst, BI, or data engineering role
• Good at Excel / Google Sheet
• Logical, detail-oriented: checks totals, traces mismatches to root cause
• English for documentation and work communication
• Having knowledge of BigQuery (partitioned tables, scheduled queries, cost-aware querying), Python, or JavaScript (Apps Script) for automating loads, API calls and file handling is an advantage.