Staff Data Analyst (Pricing Analytics - US)

Job Overview:

As our Staff Data Analyst for Pricing and Retail Analytics, you will be at the forefront of our data-driven decision-making process. Your responsibilities will include ensuring the quality of regular reports and metrics, driving impactful insights, and supporting system-wide decision-making algorithms across key business areas. You'll be working in a fast-paced, high-growth environment where agility, critical thinking, and clear communication will be crucial for success.

You will work closely with cross-functional teams across Pricing, Retail Commerce, 3P Commerce, and Promotions to support decision-making and help develop key metrics. This role will give you an opportunity to own, lead, and deliver projects from start to finish—collaborating with stakeholders and developers to ensure the highest quality and on-time delivery.

You will also collaborate with fellow analysts on the team, shaping the direction of reports, metrics, and system algorithms to meet business goals. Your work will directly inform business strategy and influence key product and operational decisions.

Key Responsibilities:

• Design, develop, and maintain decision-making systems, focusing on pricing strategies. Analyze data to identify trends and drive business insights.
• Continuously improve Pricing/Promotion reports and systems, staying updated on new technologies and ensuring accuracy and timeliness.
• Contribute to strategic planning with data insights, helping to shape metrics, product features, and business strategies.
• Solve complex problems with urgency and minimal supervision. Use data insights to influence product development and business strategies.
• Lead end-to-end projects across pricing, retail, and promotions, ensuring high-quality, timely delivery.
• Translate complex data into clear, actionable insights for both technical and non-technical stakeholders.
• Clarify requirements, align objectives, challenge assumptions, and ensure projects meet business goals and timelines.
• Contribute to a high-performing team culture by sharing knowledge and fostering ownership, excellence, and continuous learning.

Basic Qualifications:

• 6+ years of industry experience in business analytics and a degree in quantitative field
• Expert-level proficiency in SQL for data extraction, manipulation, and analysis. Familiarity with Python, R, or similar languages for advanced analytics. Strong skills in data visualization tools like Tableau, PowerBI, or similar.
• Strong understanding of statistical analysis and algorithm design. Ability to apply this knowledge in the context of business data to deliver actionable insights.
• Demonstrated ability to think systematically and maintain clarity in documentation. Proven track record of managing multiple tasks and projects simultaneously, with a strong focus on structure and organization in both analytical thinking and the documentation of processes, methodologies, and results.
• Ability to understand business goals and translate them into actionable data strategies. Strong product sense to guide data analysis that shapes business decisions, operational goals, and product features.
• Strong problem-solving capabilities with the ability to navigate ambiguity. Proactive in identifying and resolving issues, continuously improving processes, and driving results in a dynamic environment.
• Excellent verbal and written communication skills. Proven ability to engage with stakeholders at all levels and present complex data insights in a clear and accessible manner.
• A self-starter with natural curiosity, a strong sense of ownership and urgency. Comfortable working independently and managing projects in a fast-paced, ever-changing environment.

Preferred Qualifications:

• 8+ years of industry experience in business analytics and Master’s or PhD degree in quantitative field
• Previous experience in a retail, e-commerce, or similar fast-paced, data-driven environment. Familiarity with pricing strategies, retail commerce, and promotions
• Familiarity with big data technologies like Hadoop and Spark, along with experience in workflow orchestration tools (e.g., Airflow) and version control systems (e.g., GitHub).
• Proven experience working directly with leadership teams to provide data insights and influence decision-making at the strategic level.
• Demonstrated success as a Team Lead or Tech Lead, managing teams and driving technical projects to successful outcomes. Skilled in providing technical direction and fostering a collaborative, high-performing team environment.
• Proficiency in Korean is a plus but not required.

• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Accounts (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of Paid Time Off (PTO) a year based on tenure
• 12 Public Holidays
• Paid Parental leave
• Pre-tax commuter benefits