Category Management Manager

Job Description

This position is not eligible for visa sponsorship

Role Summary

Lead category management for MANN+HUMMEL’s Automotive Aftermarket brands in the USA/Canada. You will be instrumental in shaping our understanding of filtration sales performance and market dynamics.

Leveraging a wide range of internal and external data sources, you will be responsible for collecting, analyzing, and translating data into actionable insights to inform marketing strategy, brand management, product development, and strategic planning; ultimately enhancing customer engagement, loyalty, and overall business performance.

This role requires a blend of analytical skills, strategic-thinking to drive data-informed decision-making across the organization, identifying and highlighting filtration category opportunities for our customers, both internal and external.

Main Tasks

− Category Strategy Development: Develop and implement comprehensive segment category strategies aligned with company objectives, focusing on growth, market share, and profitability.

− Market Analysis: Conduct thorough market analysis to identify trends, opportunities, and threats within the category. Utilize data insights to make informed decisions.

− Assortment Strategy: Collaborate with cross-functional teams including sales, marketing, and customers to optimize product assortment and ensure alignment with market trends, consumer needs, and consumer preferences.

− Pricing and Promotion Strategies: Work with pricing to develop and execute pricing strategies to drive sales. Work with sales to develop promotional plans to maximize sales and profitability. Monitor the performance of implemented pricing and promotional activities. Maintain a catalogue of pricing and promotion performance, building the organization’s ability to incrementally improve performance of each successive promotional activity.

− Performance Monitoring: Monitor and analyze category performance metrics including sales performance, market share, and profitability. Work with sales and marketing colleagues to take proactive measures to address performance gaps and capitalize on opportunities.

− Employ advanced analytics techniques to derive meaningful insights from company sales data, Point of Sales data, and market data.

− Collaborate with internal and external data analytics teams to create dashboards and reports that support market understanding and decision-making.

− Collaborate with cross-functional teams to translate insights into actionable strategies and initiatives.

− Work closely with product development, brand management, and marketing teams to align business strategies with customer needs and market trends, to enhance customer engagement, loyalty, and lifetime value.

− Identify and assess attractive customer opportunities that are currently untapped; leverage research and insights effectively in order to identify opportunities for new products and services.

− Develop strategies on how best to support our Customers long term objectives.

− Drive the latest techniques and analytical processes into our processes, including data automation, simulation, advanced analytics, and data visualization.

− Conducts business performance analysis, including revenue, volume, product margin, category gap analysis for customers delineating an effective product portfolio balance.

− Drives insights into action through the deep analytics of the category, macro-trends, competitive landscape, pricing, and promotion.

− Use insights to help integrate products for customers into a coherent portfolio strategy, managing recommendation on the optimal portfolio deployment for each of our customers.

Educational Requirements

− Bachelor’s degree in Marketing, Business Administration, Statistics, Economics, or a related field.

Experience Requirements

− 5 years of experience in category management or related field within the retail environment.

Skills Requirements

− Proficiency in statistical analysis.

− Experience with data visualization tools like Tableau or Power BI.

− Strong quantitative skills and the ability to interpret complex data sets.

− Familiarity with advanced analytical techniques such as segmentation, predictive modeling, and regression analysis.

− Knowledge of data management principles and experience working with large datasets.

− Understanding of SAAS-based analytics tools including cross tabulation platforms.

− Ability to understand business objectives and link customer insights to key performance metrics and business outcomes.

− Knowledge of industry trends and competitive landscape.

− Comfortable working in a fast-paced environment and adapting to changing priorities.

− Demonstrated commitment to staying updated with the latest trends and best practices in category insights and analytics.