Top Tier Data-Driven Forecasting and Automation Specialist

Company Overview

We are a rapidly growing consumer goods company specializing in multiple brands across various markets. Our mission is to deliver top-quality products to our customers, and our core values revolve around innovation, excellence, and customer-centricity. We take pride in fostering an environment that encourages creative problem-solving, collaboration, and continuous improvement. With a diverse global supply chain and a track record of success, our company offers ample room for professional growth and advancement.

Role Overview

As a Top-Tier Data-Driven Forecasting & Automation Specialist, you will be responsible for analyzing inventory levels, forecasting demand, and optimizing supply chain processes to ensure we meet customer needs while minimizing costs. This role combines strategic planning, analytical execution, and cross-functional collaboration. You will work closely with various teams—including procurement, operations, and logistics—to drive accurate inventory forecasts and identify process improvements. This is a full-time, remote role tailored for a mid-level professional.

Key Responsibilities

• Forecasting & Inventory Planning – Develop and maintain accurate demand forecasts using Excel and other tools, ensuring optimal inventory levels across multiple brands and manufacturers.
• Data Analysis & Reporting – Track and analyze sales trends, lead times, and supplier performance to identify risks and opportunities, presenting actionable insights to leadership.
• Automation & Process Improvements – Design and implement automated solutions to streamline forecasting and reporting tasks, reducing manual effort and minimizing errors.
• Cross-Functional Collaboration – Partner with operations, procurement, finance, and logistics teams to align forecasts with production schedules and supplier lead times.
• Supplier & Lead Time Management – Coordinate with both international and local suppliers to refine lead time assumptions and ensure on-time deliveries.
• Forecast Accuracy Improvement – Continuously refine forecasting models, using real-time data and statistical methods to improve accuracy.
• Risk Management – Proactively identify and mitigate potential bottlenecks or supply chain disruptions.
• Process Documentation – Create and update standard operating procedures for forecasting methods, tools, and automation workflows.

Key Performance Indicators (KPIs)

• Forecast Accuracy (%) – Achieve and maintain a specific accuracy rate for monthly/quarterly demand forecasts.
• Inventory Turnover – Improve inventory turnover ratio by a defined percentage over a set period.
• Lead Time Reduction – Reduce average supplier lead time or variance by a targeted amount.
• Automation Adoption – Implement new automated processes or tools to cut manual reporting by a certain percentage.
• Cost Savings – Identify and deliver measurable cost savings through optimized inventory levels and streamlined processes.

Success Benchmarks (30-60-90 Days)

First 30 Days

• Onboarding & Training – Complete product, tools, and company policy training.
• Data Familiarization – Begin analyzing historical data and current forecasting models to understand existing processes.

First 60 Days

• Process Evaluation – Present findings and initial recommendations for improving forecasting accuracy and lead time management.
• Initial Automations – Implement at least one automation or reporting improvement to reduce manual tasks.

First 90 Days

• Strategic Improvements – Deliver a refined forecasting model with measurable accuracy improvements.
• Ownership & Autonomy – Take full ownership of the demand planning process, demonstrating proactive improvements and clear communication of results.

Required Skills & Qualifications

Must-Have Skills:

• Advanced Excel Proficiency – Strong ability to create complex formulas, pivot tables, and macros.
• Forecasting & Data Analysis – Proven experience in demand planning, statistical modeling, or related fields.
• Automation & Process Optimization – Demonstrated success in automating workflows or streamlining reporting processes.

Nice-to-Have Skills (Optional):

• Supply Chain Software – Experience with ERP or advanced demand-planning systems.
• Programming/Scripting – Basic knowledge of Python or VBA for further automation.

Experience & Education:

• 3+ Years in Demand Planning or Supply Chain – Preferably in a multi-brand environment.
• Bachelor’s Degree in Business, Supply Chain, Mathematics, or a related field (or equivalent experience).
• Industry-Specific Knowledge – Familiarity with consumer goods or retail supply chains is a plus.

Who Should Apply?

✅ Apply if you:

• Are analytical, detail-oriented, and thrive on optimizing complex processes.
• Enjoy working in fast-paced environments with multiple brands and suppliers.
• Love collaborating across teams to find innovative solutions and drive measurable results.
• Are willing and able to work in PST hours.

🚫 Do not apply if you:

• Prefer slow-moving, highly rigid corporate structures with minimal change.
• Are uncomfortable handling multiple projects and tight deadlines.

Why Join Us?

• Growth & Career Development – We’re a fast-growing company with ample leadership opportunities and room to expand your skill set.
• Work Culture & Environment – Collaborative, innovative, and performance-driven, with a strong emphasis on team success.
• Compensation & Benefits – Competitive salary, possible performance-based bonuses, and flexible work arrangements.

Compensation & Benefits

• Salary Range: $1,000-1,500 USD depending on experience
• Bonus/Commission: Performance-based bonus structure
• Work Arrangement: Remote
• Additional Perks: Paid Time Off and holidays

Application Process

1. Submit your resume and a cover letter highlighting your forecasting, Excel, and automation experience.
2. Screening Call with HR to discuss your background and fit for the role.
3. Online Assessment or hands-on activity to demonstrate your analytical and automation skills.
4. Final Interview with the hiring manager and key stakeholders.