Product Analyst

About MUSINSA Tech

Team MUSINSA Tech is a core technology organization that drives innovation and leads change. We provide personalized experiences based on data and technology, enabling customers and brands to freely express their unique individuality. MUSINSA Tech is not afraid of new challenges and constantly dreams of success in new areas. Beyond Korea, MUSINSA is building an OCMP (One Core Multi Platform) to deliver competitive services in the global market. Through this, we support the explosive growth of the entire business, and MUSINSA Tech strives to provide better value to customers through continuous 도전과 혁신 (challenge and innovation).

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Team Overview: Data Analytics Department

The Data Analytics Department, part of the Team MUSINSA Tech organization, contributes to the company's growth by deriving insights from various business areas and continuously improving the data analysis environment. The department comprises two areas: Product Analysis and Business Analysis.

• Product Analysis: Deeply analyzes customer behavior on the MUSINSA and 29CM platforms and derives insights to improve customer experience.
• Business Analysis: Supports strategic decision-making and increases operational efficiency by analyzing various areas such as logistics, operations, and partnerships within Team MUSINSA.

Additionally, the Data Analytics Department leads the expansion of a data-driven work culture. It provides guidance on various experimental tools and analysis environments to its members and actively adopts the latest AI technology to help everyone leverage data to streamline their work.

Responsibilities of a Product Analyst

• Analyze customer behavior data from MUSINSA and 29CM platforms to derive actionable insights.
• Design and implement end-to-end data pipelines, from collection to analysis of App/Web log data generated during product development.
• Define success metrics and guardrail metrics for product improvement experiments, and verify the statistical significance of experiment results.
• Provide intuitive visualizations of customer behavior, such as Funnel Analysis and Path Analysis.
• Communicate analysis results clearly for easy understanding and utilization by all stakeholders, systematically organizing them as reusable assets for Team MUSINSA.

Required Qualifications

• 5+ years of practical experience in customer behavior or product data analysis, or equivalent capabilities.
• High understanding of Databricks (Spark) or BigQuery data structures.
• Experience optimizing SQL performance based on execution plans.
• Proficiency in behavioral analysis tools like Amplitude and Google Analytics.
• Excellent communication skills to collaborate effectively with diverse stakeholders.

Preferred Qualifications

• High understanding and practical experience in A/B test design and statistical significance verification.
• Experience in designing/analyzing log collection structures and user behavior flows.
• Understanding of the linkage between behavioral analysis tools like Amplitude and log collection systems.

Application Documents

Resume (reference: Tips for Writing Resume/Portfolio: Please include the overall content related to problem definition, problem solving, and achievements in your resume/portfolio, such as why you needed to solve the problem, what strategy you set, and what results you achieved. Regardless of project success or failure, structure your resume with a high understanding of the projects so that you can have in-depth discussions with interviewers in the first interview. (Indicate contribution level per project))

Employment Conditions

Full-time permanent position

Recruitment Process

Application Period: Rolling applicationsProcess: Resume screening - 1st interview - 2nd interview - Compensation negotiation - Final offerInquiries: [email protected]

Other Information

• This position is open for rolling recruitment and may close upon hiring of suitable candidates.
• Recruitment staff will individually contact suitable applicants; individual feedback for each stage of the process will not be provided according to internal regulations.
• The final successful candidate will undergo a 3-month probation period, during which 100% of the salary will be paid.
• If false information is discovered in the application documents, employment may be canceled even after the final offer.

Key skills/competency

• Product Analytics
• Customer Behavior Analysis
• Data Pipeline Design
• SQL Performance Optimization
• A/B Testing
• Statistical Significance
• Funnel Analysis
• Path Analysis
• Data Visualization
• Stakeholder Communication