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Seasonal Quantitative Modeling Jobs (NOW HIRING)

Seasonal curves and category cyclicality * Weather impact modeling * Assortment shifts and new item ... Strong quantitative and analytical mindset with ability to translate complex data into business ...

Require strong quantitative skills including proficiency in syndicated data analysis. * Candidates ... models, and tools. * Four (4 +) years of Retail, with at least two (2 +) years Retail Shelf ...

Participates in the seasonal, annual, and long-range strategic and financial planning for specified ... build quantitative models to solve business problems * Excellent oral and written skills ...

Participates in the seasonal, annual, and long-range strategic and financial planning for specified ... build quantitative models to solve business problems * Excellent oral and written skills ...

Participates in the seasonal, annual, and long-range strategic and financial planning for specified ... build quantitative models to solve business problems * Excellent oral and written skills ...

Participates in the seasonal, annual, and long-range strategic and financial planning for specified ... build quantitative models to solve business problems * Excellent oral and written skills ...

... seasonal spreads, and inter-zonal relationships. Modeling & Tool Development * Build and maintain ... quantitative discipline. Experience 2-5 years in energy markets, trading analytics, system ...

... seasonal spreads, and inter-zonal relationships. Modeling & Tool Development * Build and maintain ... quantitative discipline. Experience 2-5 years in energy markets, trading analytics, system ...

Senior Financial Analyst

Chicago, IL · Remote

$88K - $109K/yr

Create financial models to help evaluate a wide range of commercial opportunities both in the ... Analyze the financial impact of major sporting events, seasonal trends, and customer behavior to ...

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Seasonal Quantitative Modeling information

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$31K

$90.6K

$146K

How much do seasonal quantitative modeling jobs pay per year?

As of Aug 5, 2026, the average yearly pay for seasonal quantitative modeling in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Quantitative Modeling jobs? The most popular types of Quantitative Modeling jobs are:

Sales Operations Manager

Lasko Products

Bentonville, AR • On-site

Other

Re-posted 28 days ago


Job description

Lasko Products, a market leader in home comfort solutions for over 100 years, is seeking a highly analytical and strategic Sales Operations Manager to lead statistical forecasting and internal demand orchestration across our Walmart and Sams Club accounts. 

This role is intentionally designed to move beyond customer replenishment execution. While supporting sales performance remains important, this position will lean heavily into building and owning a disciplined, data-driven demand planning framework across retail, commercial, and eCommerce channels.

The Sales Operations Manager will be responsible for developing and managing a rolling 12-month statistical forecast by channel, identifying structural demand drivers, and standardizing forecasting processes company-wide. This individual will serve as the internal architect of bottoms-up demand planning and will lead demand review preparation for SIOP.

This is a high-impact, internally focused role that requires strong modeling capability, cross-functional influence, and a proactive mindset.

The Sales Operations Manager role will be based in Bentonville, AR and will report to the Sr. Sales Operations Manager.

Key Responsibilities

Own Channel-Level Statistical Forecasting

  • Develop and manage a rolling 12-month statistical forecast by channel, incorporating both constrained and unconstrained views.
  • Build bottoms-up demand models using historical trends, seasonality curves, promotional lift, pricing shifts, and distribution changes.
  • Continuously refine forecasting methodologies to improve accuracy and predictability.
  • Identify forecast bias, risk, and volatility, and recommend corrective actions.

Lead Demand Orchestration & SIOP Preparation

  • Serve as the internal owner of demand planning inputs across Sales channels.
  • Lead preparation of demand review materials for SIOP, including risks, opportunities, and scenario analysis.
  • Align channel-level forecasts with Business Units, Sales leadership, and Supply Chain.
  • Present consolidated demand views and provide clear recommendations to leadership.
  • Drive cross-functional accountability for forecast inputs and assumptions.

 Identify Structural Demand Drivers

  • Analyze and quantify key demand drivers including:
    • Distribution gains/losses
    • Promotional lift and event timing
    • Pricing changes and elasticity
    • Seasonal curves and category cyclicality
    • Weather impact modeling
    • Assortment shifts and new item introductions
  • Develop scenario-based planning to account for volatility and risk.
  • Partner with BI and analytics teams to enhance modeling capabilities.

Standardize Forecasting Processes

  • Design and implement standardized forecasting templates and processes across channels.
  • Create consistent forecasting frameworks that support Sales, Business Units, and Operations.
  • Improve governance around forecast updates, revisions, and communication cadence.
  • Establish best practices for statistical modeling and forecast review cycles.

 Sales & Operational Support

  • Provide analytical insights to support Sales strategy and seasonal planning.
  • Translate demand signals into actionable guidance for Supply Chain and Operations.
  • Support inventory optimization and service-level performance through improved forecast accuracy.
  • Serve as a thought partner to Sales leadership on demand trends and risk mitigation.

 Qualifications

  • 5-8+ years of experience in Demand Planning, Sales Operations, Forecasting, Business Analytics, or Supply Chain Analytics.
  • Strong experience building statistical forecasts and managing rolling demand models.
  • Demonstrated ability to analyze structural demand drivers (distribution, pricing, promotion, weather, seasonality).
  • Experience leading demand review or SIOP preparation preferred.
  • Advanced Excel skills required; experience with BI tools (Power BI, Tableau, etc.) strongly preferred.
  • Strong quantitative and analytical mindset with ability to translate complex data into business decisions.
  • Proven cross-functional influence and stakeholder alignment capability.
  • Experience in seasonal, consumer product, or retail-driven environments preferred.
  • Bachelor's degree required; quantitative field preferred.
  • Hands-on experience with Scintilla Charter demand planning software strongly preferred