Senior Business Analyst

Yami; Brea (CA); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

401k matching

Health insurance

PTO

Employee discount

Coffee & snacks

Job summary

Yami, a fast-growing e‑commerce company, seeks a Senior Data Analyst in California to analyze retail, platform, and user data to drive growth, UX improvements, and platform optimization. You will collaborate with business, product, and tech teams to validate hypotheses and implement data-driven initiatives.

The role requires a Bachelor’s in a quantitative field, 5+ years of analytics experience, and strong MySQL/Tableau proficiency. Python skills and familiarity with AI tools are a plus.

Qualifications

• Bachelor’s degree or above in a quantitative field; Statistics/Mathematics is a plus.
• Minimum 5 years of working experience in data analytics.
• Experience with e-commerce or retail analytics preferred.
• Proficient in MySQL and Tableau; Python is a plus.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Proactively analyze retail, e-commerce platform, and user data to generate insights that drive growth and UX improvements. Collaborate with business, product, and tech teams using data-driven evidence.
• Transform business data needs into data products and address requirements through systems and platforms.
• Respond to data requests from various business units, analyze requirements, and develop reporting and system plans.
• Partner with data engineers to build the Data Platform aligned with business and user data needs.
• Promote data fundamentals and platform usage across teams.

Skills

Analytical thinking

Data analysis

Product thinking

Project management

Communication

Education

Bachelor’s degree in Statistics or Mathematics

Tools

MySQL

Tableau

Python

AI tools

Job description

About Yami:

Founded in 2013, Yami’s mission is to bring the world closer so that everyone can experience and enjoy it. We make it easy to discover exciting flavors and trending products from Asia. Named Inc. Magazine’s fastest growing start-up on the ”Inc. 500 List.”, we’re committed to connecting people with authentic food, beauty, home, and wellness experiences through our e-commerce platform, iOS, and Android apps.

Benefits & Compensation:

• 401(k) Matching
• Health Insurance: Medical, Vision, and Dental
• Paid Time Off: Vacation, Sick, and Holidays
• Employee Discount
• Coffee and Snacks

Job Description:

• Proactively analyze retail, e-commerce platform, and user data to generate insights that drive business growth, platform optimization, and improvements in user experience and engagement. Collaborate actively with business, product, and tech teams using data-based evidence to validate hypotheses and implement data-driven initiatives.
• Transform business data needs into data products—turn analytical insights into productized solutions and address requirements through systems and platforms.
• Respond promptly to the data requests of various business units, analyze requirements, and develop appropriate reporting and system plans.
• Partner with data engineers to build the Data Platform, grounded in a deep understanding of business and user data needs.
• Comprehend the data fundamentals and logic behind the platform and promote its application across business teams.

Requirements:

• Bachelor’s degree or above; major in Statistics or Mathematics is a plus. Minimum 5 years of working experience. Passionate about data analysis, with strong product thinking and project management capabilities. Experience in e-commerce or retail industry preferred.
• Experience in using AI tools in daily work is preferred.
• Proficient in MySQL and Tableau; experience with Python is a plus.
• Strong logical thinking, analytical and problem‑solving skills; proactive, detail‑oriented, and patient.
• Excellent communication and coordination skills with a collaborative mindset.
• Prior experience in retail or e‑commerce merchandising and data analytics is preferred.
• Fluency in both spoken and written English and Chinese Mandarin