Supply Chain Data Analyst (Forecasting & Automation)

Role Overview

We are seeking a data-driven, detail-oriented Data Analyst – Forecasting & Automation to join our team. This role is ideal for professionals with a strong background in data analytics and a passion for turning numbers into insights that drive supply chain efficiency and smarter inventory planning.

Note: We will begin with 2–3 candidates for a one-month paid trial period, during which each will receive $400 USD. Throughout this trial, candidates will work on real projects. At the end of the month, one successful candidate will be selected to join full-time, at which point they will begin receiving the full salary.

As a core member of the team, you will be responsible for analyzing inventory data, forecasting demand, building automated reports, and identifying insights to enhance operational performance. This is a remote, full-time role with strong potential for growth within the company.

Key Responsibilities

• Data Analysis & Visualization – Analyze large datasets (sales, inventory, supplier performance, etc.) to generate insights that support forecasting, inventory planning, and operational decisions
• Demand Forecasting – Develop and maintain predictive models to estimate product demand across various markets and brands using historical trends, seasonality, and promotional plans
• Research Demand Trends – Investigate demand patterns for upcoming product launches and collaborate with relevant teams to recommend inventory forecasts accordingly
• Automation & Dashboard Creation – Build and maintain automated reporting tools and dashboards (Excel, Google Sheets, or BI platforms) to streamline performance tracking and reduce manual tasks
• Performance Monitoring – Monitor KPIs such as sales trends, inventory turnover, forecast accuracy, and supplier lead times
• Inventory & Supply Chain Insights – Identify stock risks, supply bottlenecks, or overstock scenarios using real-time data, and communicate proactive solutions
• Process Documentation – Maintain up-to-date documentation for data processes, forecasting methodologies, and automation tools
• Cross-Functional Collaboration – Partner with procurement, operations, and logistics teams to ensure that forecasts align with supplier timelines and inventory goals
• Competitor & Market Benchmarking – Support product research through data gathering and competitor analysis to guide pricing, content, and inventory decisions
  
  

Key Performance Indicators (KPIs)

• Forecast Accuracy – Precision of demand forecasts compared to actual sales
• Inventory Turnover Rate – Efficiency in selling and replenishing inventory
• Automation Implementation Success – Effectiveness and adoption of automation tools or workflows
• Reduction in Manual Reporting Time – Time saved by automating repetitive reporting tasks
• Cost Savings from Data Insights – Measurable savings resulting from data-driven recommendations
  
  

Success Benchmarks (30-60-90 Days)

First 30 Days

• Complete onboarding and familiarize with internal tools, products, and data sources
• Analyze existing datasets and reporting structures
  
  

First 60 Days

• Present initial findings on data trends and forecasting opportunities
• Deliver first automated report or dashboard
  
  

First 90 Days

• Implement refined forecasting models with measurable improvements
• Take ownership of analytics and reporting for supply chain and inventory
  
  

Required Skills & Qualifications

Must-Have:

• Strong data analysis skills (Excel, Google Sheets; experience with pivot tables, formulas, macros)
• Proven experience in demand forecasting, trend analysis, or inventory analytics
• Ability to build automated reports and visualize data for non-technical stakeholders
• Experience interpreting operational and supply chain data
  
  

Nice-to-Have:

• Familiarity with BI tools (e.g., Power BI, Tableau, Looker Studio)
• Scripting experience (e.g., Python, VBA) for data cleaning or automation
• Experience in the consumer goods or eCommerce industry
  
  

Experience & Education:

• 3+ years in a data analyst or supply chain analyst role
• Bachelor’s degree in Data Analytics, Supply Chain, Business, Mathematics, or related field
  
  

Who Should Apply?

✅ You should apply if you:

• Are curious, analytical, and enjoy solving real business problems through data
• Can work independently and proactively identify opportunities from raw data
• Enjoy building reports, dashboards, and automation workflows
• Are comfortable working PST hours
  
  

🚫 You should not apply if you:

• Prefer repetitive tasks over problem-solving and improvement
• Avoid handling multiple projects or fast-moving environments
  
  

Why Join Us?

• Growth-Driven Team – Join a team that values initiative, continuous learning, and advancement
• Remote Flexibility – Work from anywhere while collaborating across global teams
• Real Impact – Your insights will directly shape inventory, operations, and strategic decisions
  
  

Compensation & Trial Details

• Trial Period: 2–3 candidates for 1 month of real-world evaluation
• Trial Payment: $400 USD for the 1-month trial
• Full-Time Offer: If selected, candidate will transition to full-time and receive full salary
• Full Salary Range: $1,000–$1,500 USD/month (based on experience)
• Bonus: Performance-based bonus potential
• Additional Perks: Paid Time Off and holidays
  
  

Application Process

• Submit your resume and cover letter highlighting your experience in analytics and automation
• Online Assessment
• Screening call with HR
• Final interview with the Operations Team
  
  

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