Samsung Sr Manager Market Intelligence 

United States, Arizona, Prescott 

246150943

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.

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