Supply Chain Data Analyst (Forecasting & Automation)

Pearl West; United States; Remote; USD 60,000 - 80,000; Full time

Job summary

An innovative firm is looking for a detail-oriented Data Analyst specializing in Forecasting and Automation. This remote, full-time role involves analyzing inventory data, developing predictive models, and creating automated reports to enhance supply chain efficiency. The ideal candidate will have a strong background in data analytics and a passion for transforming data into actionable insights. Join a growth-driven team where your contributions will directly impact strategic decisions and operational performance. If you're ready to make a real difference in a dynamic environment, this opportunity is for you.

Benefits

Paid Time Off

Holidays

Performance-based bonus potential

Remote flexibility

Qualifications

• 3+ years as a data analyst or supply chain analyst.
• Strong skills in data analysis and demand forecasting.

Responsibilities

• Analyze inventory data and forecast demand for products.
• Build automated reports and dashboards to streamline operations.

Skills

Data Analysis

Demand Forecasting

Automation

Data Visualization

Trend Analysis

Education

Bachelor’s degree in Data Analytics

Bachelor’s degree in Supply Chain

Bachelor’s degree in Business

Bachelor’s degree in Mathematics

Tools

Excel

Google Sheets

Power BI

Tableau

Looker Studio

Job description

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

1. Submit your resume and cover letter highlighting your experience in analytics and automation
2. Online Assessment
3. Screening call with HR
4. Final interview with the Operations Team