Staff Engineer, Data Analysis

Samsung Electronics Co., Ltd.$190K — $225K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Statistics, or related field
  • Minimum three years of experience as an Engineer III, Data Analysis, or similar role
  • Proficiency in SQL, Python, and R for data manipulation and analysis
  • Experience with data visualization tools like Tableau and Power BI
  • Knowledge of statistical methods including hypothesis testing, regression analysis, and machine learning

Responsibilities

  • Collaborate with teams to translate business requirements into data analysis tasks
  • Acquire, clean, and preprocess data for accuracy and reliability
  • Utilize statistical techniques and visualization tools to analyze large datasets
  • Develop and maintain dashboards and reports for stakeholder insights
  • Conduct ad-hoc analyses to address specific business questions
  • Identify opportunities for process improvement and automation
  • Stay updated on industry trends and best practices in data analysis

Benefits

  • Partial telecommuting options available
  • Encouragement to stay informed on emerging technologies
  • Opportunity to work with cross-functional teams on impactful projects
  • Access to advanced data tools and technologies
  • Work within an innovative company known for leading-edge technology
Full Job Description
Position Summary

Role and Responsibilities

MULTIPLE POSITIONS AVAILABLE

Company: Samsung Electronics America Inc.

Position Title: Staff Engineer, Data Analysis

Location: New York, NY



Position 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.

Position Requirements:

Bachelor's degree or foreign equivalent degree in Computer Science, Computer Engineering, Statistics or a related field and three (3) years of experience as an Engineer III, Data Analysis or related occupation in data analysis. Must have three (3) years of experience in the following skills: (1) experience in data manipulation and analysis using tools including SQL, Python, and R; (2) working with data visualization tools, including Tableau and Power BI; and (3) experience with statistical methods and techniques, including hypothesis testing, regression analysis, and machine learning. Partial telecommuting permitted; employees will be required to report to office multiple days per week.

Hours: Full Time, 40 hours/week. Salary Range: $190,000/year to $225,000/year

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Skills and Qualifications

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