Manager, AI & Sales Analytics

Lasko Products•West Chester, PA

4d•Hybrid

About The Position

Lasko Products, a market leader in home comfort products for over 100 years, is seeking a Manager, AI & Sales Analytics. The Manager of AI & Sales Analytics is responsible for transforming data into decisions that drive revenue, margin, and execution. This leader will build and own the analytics, forecasting support, and AI capabilities that enable the Sales, Strategy, and Business Unit teams to operate with speed, precision, and accountability. This is not a reporting role. This role defines how we measure the business, how we predict outcomes, and how we optimize decisions across pricing, promotions, forecasting, and customer strategy. They will work directly with the VP of Sales Strategy & Business Development, Sales Operations, Finance, and eCommerce leadership to embed analytics and AI into daily commercial execution.

Requirements

Bachelor’s degree in Business, Finance, Economics, Data Science, or related field (MBA preferred)
8–12+ years of experience in sales analytics, commercial strategy, or revenue management (CPG/consumer preferred)
Proven ability to build and own commercial analytics frameworks that drive pricing, promotion, and forecasting decisions
Deep understanding of P&L drivers (revenue, margin, trade spend, pricing)
Strong experience with forecasting, demand planning inputs, and scenario modeling
Expertise in trade spend optimization, promotional ROI, and pricing/elasticity analytics
Experience leveraging POS and syndicated data (Circana/Nielsen/IRI) to generate actionable insights
Demonstrated experience integrating AI/automation tools into business workflows
Advanced proficiency in Power BI/Tableau, Excel, and SQL (Python a plus)
Strong cross-functional leadership and ability to influence senior stakeholders with data-driven insights

Responsibilities

Build and own the commercial analytics framework across all channels
Develop standardized dashboards and KPIs for: Revenue, margin, and trade spend, Customer and channel performance, Forecast accuracy and bias
Deliver actionable insights, not just reporting, to support decision-making
Partner with Sales Operations to improve forecast accuracy and reliability
Build models that identify: Demand drivers, Forecast risk and opportunity, Inventory and service-level implications
Support development of scenario planning and “what-if” analysis
Measure and optimize promotional effectiveness across all channels
Build frameworks for: ROI analysis, Promotion elasticity, Incremental vs baseline performance
Identify opportunities to improve trade efficiency and margin
Support pricing strategy through: Elasticity modeling, Competitive benchmarking, Margin analysis
Build customer P&L tools that enable better investment decisions
Partner with Finance to ensure alignment between commercial decisions and financial outcomes
Lead integration of AI tools into the Sales organization
Identify high-impact use cases, including: Forecast automation and improvement, Retailer-specific insights and reporting, Competitive intelligence, Sales productivity tools (automated reporting, summaries, recommendations)
Evaluate and implement platforms that improve speed and quality of decisions
Analyze category trends, market share, and competitive dynamics
Support PLR development with data-driven insights and recommendations
Identify whitespace opportunities and emerging trends
Support the Business Development pipeline with: Market sizing, Financial modeling, Opportunity prioritization
Help quantify the value of new channels, partnerships, and international expansion
Partner with VP Sales Strategy & BD (strategic priorities and frameworks)
Partner with Sales Operations (forecasting and execution)
Partner with Finance (margin, trade, and financial alignment)
Partner with eCommerce (digital analytics and performance optimization)
Ensure consistent data definitions, metrics, and reporting across teams