Amazon Data Analyst - Day Shift, Remote (PH)
The analyst will extract, clean, and analyze Amazon sales and advertising data to generate actionable insights and automated reporting dashboards for internal teams. This is a fully remote, non‑client‑facing position at a fast‑growing eCommerce agency.
Skills required
About this role
About RocketAMS
RocketAMS is a thriving, fully remote Amazon eCommerce agency based in Australia, founded by ex-Amazon Australia employees with over $100 million in collective sales experience. We're a startup on the rise, aiming to redefine success on Amazon for our clients. Join a dynamic team that values expertise, collaboration, and growth.
Role Overview
We are seeking a detail-oriented Amazon Data Analyst to support internal teams by delivering accurate, timely, and actionable insights from Amazon and eCommerce data. This is a behind-the-scenes, non-client-facing role, focused on data analysis, reporting, and automation to enable informed decision-making across the business.
Responsibilities
- Data Analysis
- Collect, process, and analyze Amazon sales data, advertising data, and relevant marketplace metrics.
- Build, maintain, and optimize dashboards and reports related to sales performance, inventory levels, and advertising efficiency.
- Identify trends, patterns, and anomalies in datasets to support internal planning and strategy.
- Use SQL and/or Amazon Marketing Cloud (AMC) to query, analyze, and validate large datasets.
- Automate recurring reports and data workflows using Google Sheets, advanced formulas, or BI tools.
- Internal Team Support
- Work closely with Brand Managers, Account Specialists, and PPC teams to support strategy and execution through data insights.
- Provide clear, structured analysis to help internal teams optimize listings, advertising performance, and operational planning.
- Ensure data accuracy, consistency, and reliability across internal reports and dashboards.
Requirements
- 2+ years of data analytics experience
- Hands-on experience with Amazon Marketing Cloud (AMC) or SQL
- Experience with Amazon, advertising, or eCommerce data
- Strong analytical skills with advanced Google Sheets / Excel capability
- Experience with reporting, forecasting, and performance analysis
- High-detail-oriented, organized, and able to manage tasks independently
Benefits
- Paid Time Off
- Work From Home
- Training & Development
- Private Health Insurance After 12 Months
- Day Shift - 7am to 4pm PH Time
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