Sr. Manager, Market Intelligence

6625 Excellence Way, Plano, TX, USA, United States

Samsung Electronics

Tervetuloa Samsung Suomen verkkosivuille. Tarjoamme laajan valikoiman innovatiivista kodinelektroniikkaa ja tekniikkaa. Tutustu älypuhelimiin, tabletteihin, televisioihin, kodinkoneisiin ja muihin tuotteisiimme.

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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

#LI-HT1

Life @ Samsung - https://www.samsung.com/us/careers/life-at-samsung/

Benefits @ Samsung - https://www.samsung.com/us/careers/benefits/

Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.  In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and  provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: Business Analytics Computer Science CX Data analysis Excel KPIs Machine Learning ML models Predictive modeling Privacy Python R SAS Statistics

Perks/benefits: Career development Health care Insurance Salary bonus

Region: North America
Country: United States

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