Data & Insights Analyst

Who We Are

We work with all kinds of international e-commerce businesses—retailers, wholesalers, and brands—giving you real, hands-on experience with different business models and the chance to make an impact.

We’re a fast-scaling Amazon & TikTok agency on a mission to drive revenue, spot emerging opportunities, and build brands that don’t just grow—they thrive. We’re obsessed with data, powered by creativity, and, most importantly, driven by the people who make it all happen. Around here, we move fast, stay transparent, reward performance, and bring high energy every single day to build multi-million-dollar businesses.

Why We Need You

Data is the heartbeat of our company. As a Data & Insights Analyst, your work will directly influence our product-sourcing strategies for retailers and wholesalers and you can potentially grow into the brand-building data role. You’ll be at the forefront of collecting & transforming messy data into clear insights, ensuring that every decision we make is backed by accurate, timely information.

Key Responsibilities

1. Product List Processing (Retail/Wholesale Clients)
   • Work with large product lists (ranging from a few thousand to 50,000+ SKUs) provided by suppliers or clients.
   • Clean, format, and structure the data in Google Sheets/Excel, ensuring consistency and accuracy.
   • Set up columns and parameters so that software tools (via API) can automate further analysis (e.g., demand, profit margins).
2. Data Transformation & Dashboard Maintenance
   • Keep dashboards dynamic and up to date, ensuring the team has real-time data to make impactful decisions.
   • Collaborate with Account Managers, Reviewers and Purchasers to interpret processed data, helping them pinpoint profitable products or brand opportunities.
3. Collaboration & Continuous Improvement
   • Work closely with team leads to manage workload and set priorities, ensuring deadlines are met and quality is maintained.
   • Learn and refine advanced data processing methods, leveraging new tools and software.
   • Suggest improvements to existing processes—whether it’s refining data structures or optimizing software integrations.
4. Quality Control & Reporting
   • Double-check all data inputs and outputs for errors or inconsistencies.
   • Summarize findings in clear, concise reports or presentations, ensuring management has everything they need to make informed decisions.
5. Brand & Market Data Analysis (Potential future growth role)
   • Collect and organize extensive data (e.g., from Amazon or TikTok) on top-selling products, competitor pricing, flavors, reviews (positive & negative), and other key market indicators.
   • Identify patterns and trends that inform new brand strategies, such as product features, price points, and packaging ideas.
   • Present actionable insights to top management so they can decide on brand direction.

Skills & Requirements

Technical Skills

• Google Sheets
  • Familiarity with data types, data entry, and import/export.
  • Hands-on experience with basic formulas (math, logic, text).
  • Skilled in sorting, filtering, and lookup functions.
  • Ability to create clean, structured templates for large datasets.
• Cloud Tools
  • Comfortable with Google Drive organization.
  • Able to handle multiple spreadsheets simultaneously, ensuring version control and data accuracy.

Mindset & Soft Skills

• Transparency: Communicates openly and honestly to keep the team aligned.
• Willing to Learn: Stays curious, asks questions, and takes on new challenges with enthusiasm.
• Detail-Oriented: Values accuracy, consistently checks work for mistakes, and aims for zero data errors.
• Critical Thinking: Evaluates multiple perspectives and data points, proposing well-reasoned next steps.
• Analytical & Organized: Capable of turning unstructured data into actionable insights.
• Proactive Communicator: Shares updates frequently, avoids assumptions, and clarifies uncertainties.
• Team Player: Works collaboratively, respects deadlines, and helps colleagues when needed.