Skillhouse Internal Career Opportunity
Data Analyst (Marketplace Analytics)
Position Title:
Data Analyst (Marketplace Analytics)
Employment Type:
Permanent
Working Hours:
Japanese Level - None,English Level - Advanced (TOEIC 860)
Salary
10000000.00
Description
A Global IT Service firm is seeking a Data Analyst to join the AI & Data Division. Working closely with data scientists, engineers, product managers, and business leaders, you will transform complex data into actionable insights that improve customer experiences, optimize business performance, and influence product roadmaps.This position offers the opportunity to work with modern analytics technologies, cloud-scale datasets, and emerging AI-driven analytical workflows in a highly international and collaborative environment.
Responsibilities:
- User Behavior & Product Direction: Mine user journey and clickstream data to spot drop-offs, churn patterns, and unmet needs—turning raw user behavior into concrete product features
- Predictive Modeling & ML Insights: Apply machine learning methodologies (clustering, classification, predictive analytics) to infer complex product usage patterns and deliver actionable business insights (with guidance from senior data scientists)
- AI Agents & Workflow Automation: Utilize and adapt open-source agentic frameworks (vetted and tested by our team) to configure custom analytical agents, automate routine reporting, and speed up complex tasks
- Core Marketplace Analytics: Analyze core business drivers (GMV, retention, seller performance, campaign ROI) to find growth opportunities
- A/B Testing & Experimentation: Design, run, and evaluate A/B tests (power analysis, sample sizing, hypothesis testing) to measure the true impact of product changes and algorithm updates
- Cross-Functional Partnering: Turn complex statistical analysis into practical recommendations for product managers and business stakeholders
Required skills:
- 3+ years of hands-on experience in data analysis
- SQL: Fluent in writing clean, optimized queries on large data warehouses (BigQuery, Snowflake, Hive, etc.).
- Python/R: Hands-on experience using libraries like pandas and numpy for data manipulation, stats, and visualization
- Practical grasp of A/B testing, hypothesis testing, power analysis, and statistical significance
- Effective English communication skills
Why You Should Apply:
- Great opportunity to be able to work for well-established company
- Cross-departmental communication is possible in an international environment
- Meals in the company cafeteria are free. Our chefs are always coming up with new menu items!
Company Details:
A global company with a strong presence in multiple business areas. It has achieved sustained growth both domestically and internationally, including in the U.S. and Europe. The company boasts a diverse and international environment and is committed to equal opportunity, offering a wealth of career opportunities. Due to the diverse nature of our business, we handle a wide range of technologies! You can also choose the environment you are most comfortable with, such as Windows/Mac! Meals in the company cafeteria are also free. Our chefs are always coming up with new menu items, so you can enjoy your meal without getting bored!
Working hours : 9:00 - 17:30 (Mon-Fri)
Working Style: Hybrid (4 days in office, 1 day work from home)
Holidays: Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays
Services/Benefits: Social insurance, Pension Plan, Transportation Fee, Free Cantine, Casual clothes and more
Interview Process: 3-4
