Sr. Manager, Market Intelligence

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. From our humble beginnings to our position today as a tech leader, our passion for innovation has been the common thread throughout our history. We’ve grown into one of THE most recognized global brands. We consider ourselves “relentless pioneers” that push boundaries and defy barriers. 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 EPA’s ENERGY STAR® Corporate Commitment Partner, 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

Data Analysis & Insights:

• Analyze large, complex datasets to identify mobile market trends, patterns, and opportunities for Samsung (Sell-In, Sell-Out, Installed base, switching/churn)
• Ensure the quality and integrity of data for analysis and reporting
• Develop dashboards, reports, and visualizations to communicate insights to stakeholders effectively.
• Perform root-cause/scenario analyses and recommend data-driven solutions.
• Monitor key performance indicators (KPIs), develop targets and suggest strategies to improve results

Predictive Modeling & Machine Learning:

• Design and implement predictive models to forecast mobile market demand (TAM, in volume and revenue)
• Assess the significance and impact of individual variables (macroeconomics variables, new model launches, holidays and others) on predictive outcomes, providing actionable insights to business stakeholders
• Leverage machine learning algorithms to build robust models that optimize accuracy and scalability
• Interpret and explain the contribution of key variables to predictions, helping teams understand drivers of growth or decline.

AI-Powered Automation and Process Improvement:

• Identify opportunities to implement AI-driven solutions to automate manual processes and improve efficiency.
• Develop and deploy machine learning models and AI tools to optimize workflows and enhance scalability.

Business Strategy & Collaboration:

• Collaborate with cross-functional teams to define business problems and translate them into analytical solutions.
• Provide strategic recommendations based on data analysis to improve operations, customer experience, and revenue growth.
• Conduct market analysis and competitor benchmarking to support business planning.

Skills and Qualifications

Minimum Qualifications

• Bachelor's or Master’s degree; preferably in data science, business analytics, computer science, statistics or a related field.
• Proven experience of 8+ years in strategy, product management, business analytics, business planning, and strategy development is preferred
• Proficiency in Python, R, SAS or similar tools for data analysis and automation
• Strong business ability to interpret technical findings in a business context
• Excellent communication skills to present complex insights to non-technical stakeholders
• Advanced in MS excel/PowerPoint

Preferred Qualifications:

• Strong understanding of macroeconomics, with the ability to analyze and integrate economic indicators (e.g., Fed rate, inflation rate, GDP, unemployment rate) into predictive models
• Demonstrated ability to connect economic trends with business insights to inform strategic decision-making
• Experience in Mobile/Telecom or Tech industry is highly desired

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