Staff Engineer, Data Analysis

Samsung Electronics • New York, NY

1d • Hybrid

About The Position

Samsung Electronics America Inc. is seeking a Staff Engineer, Data Analysis to join their team in New York, NY. This role involves collaborating with cross-functional teams to understand business requirements and translate them into data analysis tasks. The engineer will be responsible for acquiring, cleaning, and preprocessing data from various sources, utilizing statistical techniques and data visualization tools to analyze large datasets, and developing reports and dashboards to communicate findings. The position also includes conducting ad-hoc analysis, identifying opportunities for process improvement and automation, and staying updated on industry trends. A key aspect of the role is synthesizing raw data into actionable insights to drive business results and designing/maintaining data systems and databases.

Requirements

• Bachelor’s degree or foreign equivalent degree in Computer Science, Computer Engineering, Statistics or a related field
• Three (3) years of experience as an Engineer III, Data Analysis or related occupation in data analysis.
• Three (3) years of experience in data manipulation and analysis using tools including SQL, Python, and R
• Three (3) years of experience working with data visualization tools, including Tableau and Power BI
• Three (3) years of experience with statistical methods and techniques, including hypothesis testing, regression analysis, and machine learning.

Responsibilities

• Collaborate with cross-functional teams to understand business requirements and translate them into data analysis tasks.
• Acquire, clean, and preprocess data from various sources to ensure accuracy, completeness, and reliability.
• Utilize statistical techniques and data visualization tools to analyze and interpret large datasets, uncovering trends, patterns, and correlations.
• Develop and maintain dashboards, reports, and visualizations to communicate findings and insights to stakeholders.
• Conduct ad-hoc analysis and hypothesis testing to address specific business questions or challenges.
• Identify opportunities for process improvement and automation to enhance efficiency and scalability.
• Stay informed about industry trends, emerging technologies, and best practices in data analysis and visualization.
• Synthesize raw data into actionable insights to drive business results, identify key trends and opportunities and report the findings in a simple, compelling way.
• Design and maintain data systems and databases, fix coding errors and other data-related problems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior