Position SummaryProvide data analysis support to stakeholders to maximize mutual trust and strategic execution by enabling business and market insights.Role and ResponsibilitiesMULTIPLE POSITIONS AVAILABLECompany:            SAMSUNG ELECTRONICS AMERICA, INC.Position Title:   Engineer II, Data AnalysisLocation:             85 Challenger Road, Ridgefield Park, NJ 07660Job ID:                   SAM9441229Position Responsibilities:Provide data analysis support to stakeholders to maximize mutual trust and strategic execution by enabling business and market insights. Manage e-commerce dashboards and reporting including design, data modeling, capabilities, automation, and templates. Support the foundational projects connecting to insights platform, especially around data management and design, data warehousing, optimizations, and best practices to enable insights and actions from stakeholders. Work with issues owners to track high-level progress, driving accountability, and resolve issues across ecommerce. Understand S.com journeys – ensure data and systems are developed with the relevant functions that generate win-win that will allow s.com to connect the dots and identify and prioritize opportunities to improve and create processes. Learn S.com operations across different lines of business and leverage those understandings to ensure the direction of projects and activities support stakeholder needs. Perform ad hoc analyses to identify opportunities and develop actionable recommendations through a rigorous, datadriven process. Work proactively to uncover areas within the business to drive performance improvements to unlock productivity and accelerate execution.Position Requirements:Master’s degree in Computer Science, Statistics, Business Intelligence and Analytics, or a related field. Must have knowledge in regression, classification and clustering techniques; retrieving data from various sources, and manipulating data for business reporting; implementing machine learning algorithm for problem solving; and planning and gathering business requirements, identifying and solving data issues.Hours: Full Time, 40 hours/week. Salary Range: $149,500/year to $224,500/year#LI-DNISkills and Qualifications* Please visit <a href="#" rel="noopener noreferrer" target="_blank">Samsung membership</a> 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 <a href="#" rel="noopener noreferrer" target="_blank">here</a>.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 ProcessSamsung 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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Samsung

Samsung Electronics America, a leader in innovation and growth, seeks a full-time Engineer II, Data Analysis with a Master's degree in relevant fields. The candidate will provide data analysis support, manage e-commerce dashboards, and perform ad hoc analyses. We offer a diverse and inclusive work environment with equal opportunities for all individuals.