Supply Chain Data Analyst (Forecasting & Automation)

Remote

Full Time

Entry Level

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: $700 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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Supply Chain Data Analyst (Forecasting & Automation)

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