Job Description:

As a Product Analyst at Samsung Ads, you will play a pivotal role in analyzing complex datasets, deriving actionable insights, and informing key business initiatives. The ideal candidate will possess a minimum of 4 years of experience in data analysis, with a deep understanding of statistical methods and proficiency in data manipulation tools and techniques.

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; this includes fixing coding errors and other data-related problems

Requirements:

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or related discipline. Advanced degree preferred.
• Proven experience in data analysis, with 4 years of hands-on experience in a similar role.
• Strong proficiency in data manipulation and analysis using tools such as SQL, Python, R, or similar programming languages.
• Experience working with data visualization tools such as Tableau, Power BI, or similar platforms.
• Solid understanding of statistical methods and techniques, including hypothesis testing, regression analysis, and machine learning.
• Excellent problem-solving skills and attention to detail, with the ability to thrive in a fast-paced environment.
• Effective communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
• Proactive attitude towards learning and professional development.

If you are a data-driven professional with a passion for turning data into actionable insights, we encourage you to apply for this exciting opportunity.

Compensation for this role, for candidates based in New York City, CA, is expected to be between $135,000 ~ $160,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.

#LI-YRC