Environmental Solutions Group is looking to transform its aftermarket parts business using analytics, AI, and data-driven strategy to drive intelligent pricing, predictive forecasting, and AI-powered ecommerce growth.
Requirements
- Proficiency in data analysis, predictive modeling, machine learning, and business intelligence tools (e.g., Power BI, Tableau, Snowflake, Python/R).
- Experience deploying AI in pricing optimization, demand forecasting, ecommerce personalization, or supply chain analytics.
- Demonstrated success in ecommerce strategy, execution, and platform optimization to support digital sales growth.
- Exceptional analytical, strategic thinking, and problem-solving skills, with the ability to translate complex data into actionable insights.
- 7+ years of relevant experience, with a proven track record in analytics-driven product strategy and AI solution implementation.
Responsibilities
- Lead the development of AI-powered forecasting models and analytics dashboards to track, predict, and optimize aftermarket parts demand, pricing, and inventory performance.
- Integrate machine learning algorithms into ecommerce platforms for personalized recommendations, automated pricing, and enhanced customer engagement.
- Utilize predictive and prescriptive analytics to identify growth opportunities, optimize channel partner performance, and mitigate supply chain risks.
- Oversee the development of data pipelines, business intelligence reports, and visualization tools to support real-time decision-making.
- Gather and analyze customer and dealer feedback using natural language processing (NLP) and other AI techniques to inform product innovation.
- Establish measurable KPIs, track performance with analytics platforms, and continuously refine strategies based on data insights.
- Collaborate with Data Science, IT, and Marketing to translate business needs into AI/analytics-based solutions and implement them at scale.
Other
- Bachelor’s Degree in Business, Data Science, Engineering, or related field; advanced degree (MBA, MS in Analytics/AI) preferred.
- Excellent communication skills for both technical and executive audiences.
- Demonstrated ability to lead cross-functional teams and drive organizational change toward data-first decision-making.
- Ability to travel occasionally for business, partner engagements, and industry events.
- Define and execute data-driven product and service strategies that increase brand loyalty and customer lifetime value across dealer and distributor networks.
