Engineer II, Data Analysis (mult.)

85 Challenger Rd., Ridgefield Park, NJ, USA, United States

Samsung Electronics

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Position Summary

Provide data analysis support to stakeholders to maximize mutual trust and strategic execution by enabling business and market insights.

Role and Responsibilities

Duties:   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, data-driven process. Work proactively to uncover areas within the business to drive performance improvements to unlock productivity and accelerate execution.

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.

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Skills and Qualifications

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

Job stats:  10  8  0

Tags: Business Intelligence Classification Clustering Computer Science Data analysis Data management Data Warehousing E-commerce Machine Learning Privacy Statistics

Perks/benefits: Career development Team events

Region: North America
Country: United States

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