Amazon Data Analyst - Day Shift, Remote (PH)

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.

What You'll Bring

• Advanced proficiency in Google Sheets/Excel for analysis and reporting.
• Strong ability to interpret data and generate actionable insights.
• Experience with budgeting, forecasting, financial modeling, and variance reporting.
• Familiarity with Seller Central or Vendor Central is a plus (training provided).
• Highly organized, proactive, and capable of managing deadlines independently.

What We Offer

Comprehensive Training and Mentorship

• Receive hands-on training from our expert Amazon specialists and direct guidance from our founders.
• Learn advanced Amazon strategies and operational best practices to set you up for success.

Exciting Career Growth

• Join a fully remote team with substantial growth potential as RocketAMS continues to expand.
• Work in Australian time (10 AM Sydney start) and collaborate closely with seasoned professionals to refine your skills and grow in your career.

Monthly Compensation Range:

• Trainee (Level 1): $900 AUD/month (40 hours per week)

Progression is based on performance and readiness to handle accounts independently

• Level 2 (Full-Time): $1,000 – $1,200 AUD/month (40 hours per week)

Depending on number of clients managed and performance (reviewed quarterly)

We will only consider applications submitted through this link.

Submit your application now, this role is moving quickly!

RocketAMS is an Australian company and our recruitment process reflects Australian hiring standards. Shortlisted candidates will be invited to complete a recorded video interview, followed by a practical assessment, so please be prepared for these steps as part of the process.

Successful candidates who progress to the final stage may be placed into our talent pool, which we actively draw from as roles become available. This means opportunities may open immediately or over the coming weeks as our client demand grows.

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