Data Analyst, Amazon

About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.

With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.

We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.

Why Trafilea

We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.

🚀 We build and scale our own brands.

🦾 We invest in AI and automation like few others in eCom.

📈 We test fast, grow fast, and help you do the same.

🤝 Be part of a dynamic, diverse, and talented global team.

🌍 100% Remote, USD competitive salary, paid time off, and more.

Key Responsibilities

The mission of the Data Analyst is to be the analytical backbone of the Marketplaces Tribe, transforming raw data into insights that drive profitable growth across Shapermint, Truekind, and The Spa Dr on Amazon US, Canada, UK, and Australia. You’ll develop dashboards, monitor KPIs, and automate reporting to enable faster, smarter decision-making for product, marketing, and supply chain teams.

1. Extract and analyze Amazon data from Seller Central, APIs, Helium10, DataDive, and Brand Analytics.

2. Track core performance KPIs including TACOS, CVR, CTR, BSR, refunds, and ratings correlation.

3. Conduct competitor benchmarking to identify pricing, promotional, and assortment opportunities.

4. Support forecasting and demand planning by leveraging historical trends and category insights.

5. Provide strategic recommendations on product assortment, pricing, and promotional strategies.

6. Propose AI-powered insights, process automation, and profitability diagnostics.

7. Optimize SEO and product discoverability using Amazon algorithms, Rufus AI, and keyword tools.

8. Build and maintain dashboards and reports in Tableau and Google Sheets for cross-team insights.

9. Collaborate with marketing, creative, and supply chain teams to align strategies with data.

10. Ensure data quality and integrity through validation, troubleshooting, and regular checks.

• Bachelor's degree in Business, Economics, Statistics, Data Science, or a related field.

• Proven experience as a Data Analyst, preferably within the ecommerce industry and Amazon marketplace.

• Proficiency in data manipulation and analysis tools such as Excel, SQL, and data visualization tools (e.g., Tableau, Power BI).

• Familiarity with Amazon Seller Central, including knowledge of Amazon Advertising, A+ Content, Amazon Brand Analytics, Search Query Performance reports, Helium10, DataDive.

• Strong analytical and problem-solving skills with the ability to translate data into actionable insights.

• Experience analyzing TACOS, BSR, refund rate, product rating, CVR, CTR, and organic vs. paid mix.

• Excellent communication skills to convey complex findings to non-technical stakeholders effectively.

• Experience with automation or AI tools is a plus.

• Detail-oriented mindset and ability to manage multiple tasks and projects concurrently.

• Knowledge of apparel and beauty industry trends and consumer behaviors is a plus.