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 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

Nice To Haves

MBA preferred

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, and 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, and 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, and incremental vs baseline performance.
Identify opportunities to improve trade efficiency and margin.
Support pricing strategy through elasticity modeling, competitive benchmarking, and 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, and 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, and opportunity prioritization.
Help quantify the value of new channels, partnerships, and international expansion.
Partner with VP Sales Strategy & BD (strategic priorities and frameworks), Sales Operations (forecasting and execution), Finance (margin, trade, and financial alignment), and eCommerce (digital analytics and performance optimization).
Ensure consistent data definitions, metrics, and reporting across teams.