Senior Demand Planning Manager

Ektello; Plano (TX); On-site; USD 78,000 - 112,000; Full time

Job summary

Ektello is seeking a data-driven Senior Demand Planning & Commercial Analytics Manager for an onsite Plano, TX role. You will drive sales forecasting, promotional analytics, and ROI modeling while aligning demand planning with supply chain execution.

The position emphasizes cross-functional collaboration with Category Management, Finance, and Operations. The ideal candidate has 8+ years in data-intensive roles, advanced Excel, and ML/AI forecasting experience.

Qualifications

• 8+ years in e-commerce business planning, category management, or data-intensive analytics.
• Strong background in telecom, technology, consumer electronics, or retail is a plus.
• Bachelor’s degree in business, economics, mathematics, analytics, or engineering required; MBA preferred.

Responsibilities

• Lead end-to-end sales forecasting process on weekly, monthly, and quarterly cycles.
• Build ROI models for promotions and align demand with supply chain execution.
• Develop monthly/quarterly targets across channels and traffic drivers.
• Synthesize data into compelling presentations for leadership.

Skills

Forecasting

Analytics

Cross-functional collaboration

Executive communication

Education

Bachelor's degree in Business, Economics, Mathematics, Analytics, or Engineering

MBA preferred

Tools

Python

Microsoft Excel

PowerPoint

Job description

Senior Demand Planning & Commercial Analytics Manager Location: Plano, TX - Onsite Employment Type: 12 + month contract to (hire + multi-extension capability) Rate: 69.00 /hr. W2

We are seeking a data-driven Senior Demand Planning & Commercial Analytics Manager to drive our e-commerce business planning, forecasting, and promotional analytics. In this role, you will lead the end-to-end sales forecasting process, build ROI models for promotional campaigns, and align demand planning with supply chain execution. You will act as a key cross‑functional partner to Category Management, Finance, and Operations, leveraging advanced analytics to maximize revenue and guide executive strategy.

Key Responsibilities

• Sales Forecasting & Planning: Build and maintain hands-on quantitative sales forecasts (quantity and revenue) on a weekly, monthly, and quarterly basis, incorporating variables such as traffic, seasonality, and promotional calendars.
• Target Distribution: Develop monthly/quarterly targets and allocate them across e-commerce channels, categories, and traffic drivers.
• Promotional Analytics & Playbooks: Conduct promotional lift, elasticity, and financial ROI analyses. Build a playbook to recommend optimal promotional strategies that align with business goals.
• Supply Chain Alignment: Partner closely with supply chain and operations teams on PSI management, supply planning, and demand/supply alignment.
• Advanced Analytics & AI Integration: Implement advanced statistical and ML/AI forecasting methodologies to improve long-term forecasting accuracy. Explore opportunities to build AI agents to streamline supply chain workflows.
• Commercial Support & Gap Closure: Collaborate with Category Management, Finance, and Operations to identify performance gaps and drive corrective actions.
• Executive Presentations: Synthesize complex data into compelling, story-driven presentations for leadership and cross-functional teams to influence strategic decisions.

Qualifications & Requirements

• Experience: 8+ years of experience in e-commerce business planning, category management, or a data-intensive quantitative analytics role.
• Industry Focus: Strong background in Telecom, Technology, Consumer Electronics, or Retail is strongly preferred. Deep understanding of mobile promotions and channel mechanics is a major plus.
• Education: Bachelor's degree in Business, Economics, Mathematics, Analytics, or Engineering required. MBA preferred.
• Technical & Analytical Skills: Advanced Excel proficiency for complex data integration and modeling. Experience with financial analysis, P&L modeling, and business case development.
• Advanced Analytics & Coding (Plus): Hands-on experience with ML/AI models for forecasting, pricing, or promotional analytics (including writing ML code in Python or building AI agents) is highly desired.
• Communication: Exceptional presentation skills using Microsoft PowerPoint with the ability to convey clear data insights to executives.
• Attributes: Proactive, highly adaptable, strong business acumen, and comfortable managing fast-paced operational pivots.

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