Project Manager, Data & Analytics (Consumer Electronics)

Position Summary

Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) is a leader in mobile technologies, consumer electronics, home appliances and enterprise solutions. The company pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks and digital displays. As an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, SEA is dedicated to making a positive impact on the environment through its eco-conscious products, practices and operations.

People | Excellence | Change | Integrity | Co-prosperity

Role and Responsibilities

The data analytics project manager in the CE Retail leads projects to optimize operations through data-driven insights. Key responsibilities include:

• Analyzing retail product sales to inform inventory, pricing, and promotional strategies.
• Evaluating sales team performance using metrics like sales targets and customer engagement to boost productivity.
• Assessing sales team training programs to ensure alignment with business goals and employee needs.
• Processing customer experience survey data to refine customer service, customer journey, and shopping experiences.  By synthesizing these insights, the manager supports informed decision-making, operational efficiency, and customer satisfaction.
• The data analytics project manager enables informed decision-making, drives operational efficiency, and enhances customer satisfaction across the retail organization.

• Retail Product Sales Analysis:
  • Develop and manage reports to analyze sales data, identifying trends and patterns that inform inventory management, pricing strategies, and promotional activities for CE products.
  • Provide actionable insights to optimize product offerings and improve sales performance.
• Sales Team Performance Evaluation:
  • Assess sales teams' performance using metrics such as sales targets, conversion rates, and customer engagement specific to CE products.
  • Identify areas for improvement and recommend strategies to enhance team productivity and effectiveness.
• Sales Team Training Optimization:
  • Analyze training program outcomes and employee performance data to evaluate the effectiveness of CE-focused training initiatives.
  • Suggest adjustments to training content, delivery methods, or schedules to better align with business objectives and team needs.
• Customer Experience Shopping Surveys:
  • Process and analyze survey data related to the shopping experience for CE products, focusing on customer satisfaction, preferences, and pain points.
  • Offer insights to improve customer service, store layout, and overall shopping experiences for CE products.
• Cross-Functional Collaboration:
  • Work closely with marketing, merchandising, and operations teams to ensure data-driven strategies are implemented effectively across the CE retail division.
  • Communicate insights and recommendations clearly to stakeholders to drive informed decision-making.
• Data-Driven Strategy Development:
  • Leverage data analytics to identify opportunities for growth and innovation within the CE retail segment.
  • Develop and execute strategies that enhance competitiveness and customer satisfaction in the CE market.

Skills and Qualifications

Minimum Qualifications

• Bachelor’s degree with 4 years of prior relevant experience
• 6+ years of directly related experience without a degree is required
• Proficient in developing predictive models that directly inform and/or enable quantifiable business action, either by providing insights or building analytic applications
• Visual report creation that communicates data effectively from the field-level sales team to executive-level use

Preferred Qualifications

Technical Skills

• Data Visualizat