Join Samsung Ads as a Product Analyst

Position Summary

As a Product Analyst at Samsung Ads, you will play a pivotal role in analyzing complex datasets to uncover actionable insights and inform key business initiatives. We are looking for a dedicated professional with at least 4+ years of experience in data analysis, adept in statistical methods and proficient in data manipulation tools and techniques.

Role and Responsibilities

Key Responsibilities:

• Collaborate with cross-functional teams to interpret business requirements and translate them into data analysis tasks.
• Acquire, clean, and preprocess data from diverse sources to ensure data accuracy, completeness, and reliability.
• Use statistical techniques and data visualization tools to analyze large datasets, uncover 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 updated on industry trends, emerging technologies, and best practices in data analysis and visualization.
• Synthesize raw data into actionable insights to drive business results and report findings in a simple, compelling manner.
• Design and maintain data systems and databases, fixing coding errors and other data-related issues.

Skills and Qualifications

Requirements:

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. An advanced degree is preferred.
• 4+ years of hands-on experience in data analysis in a similar role.
• Strong proficiency in data manipulation and analysis using tools like SQL, Python, R, or similar programming languages.
• Experience 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, capable of thriving 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.

Salary Range & Benefits

Pay Transparency:

Compensation for this role, for candidates based in Mountain View, CA, is expected to be between $145,000 and $160,000. Actual pay will be determined considering factors such as relevant skills and experience and how it compares 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

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Our Commitment

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Reasonable Accommodations

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or [email protected] for assistance. This