Engineer II, Data Analysis

Overview

Remote
On Site
USD 149,500.00 - 224,500.00 per year
Full Time

Skills

Software Asset Management
Data Analysis
Management
Dashboard
Data Modeling
Data Management
Data Warehouse
Accountability
Electronic Commerce
Productivity
Computer Science
Statistics
Business Intelligence
Analytics
Regression Analysis
Clustering
Reporting
Machine Learning (ML)
Algorithms
Problem Solving
Conflict Resolution
Privacy
Innovation
AIM
Law
Electronics

Job Details

Position Summary

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

Role and Responsibilities

MULTIPLE POSITIONS AVAILABLE

Company: SAMSUNG ELECTRONICS AMERICA, INC.

Position Title: Engineer II, Data Analysis

Location: 85 Challenger Road, Ridgefield Park, NJ 07660

Job ID: SAM9441229

Position 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

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Skills and Qualifications

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