Job title: Supply Chain Data Analyst (Forecasting & Automation)
Company: Pearl West
Job description: Role OverviewWe 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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Expected salary: $1000 – 1500 per month
Location: Philippines
Job date: Fri, 11 Apr 2025 03:11:24 GMT
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