Data Analyst, Life Service

Team Introduction

Ohouse (Bucketplace) aims to be a 'Life Event Integrated Solution' that takes responsibility for every significant life change, from start to finish. We provide various services including content, community, commerce, and home services (construction brokerage, direct construction, installation, moving, cleaning), helping people worldwide easily and conveniently transform their homes.

The Ohouse Data Analytics team diagnoses the current status of products and business through data, leading data-driven decision-making for clear improvements across the entire team.

The Life Service team solves complex problems customers face during life events like moving, marriage, or relocation, transforming these processes into transparent and trustworthy experiences.

While Ohouse's content, commerce, and construction service teams realize customer preferences, the Life Service team resolves the hidden complexities throughout that process, offering convenient and reliable services for moving, cleaning, internet, and rentals. This role is central to Ohouse's leap towards becoming a comprehensive lifestyle service platform. To achieve this, the team is responsible end-to-end for service planning, partner growth, business model advancement, and operational efficiency.

Ohouse, the No.1 Lifestyle Tech Company, is looking for a Data Analyst, Life Service who is ready to take on challenges and drive innovation to deliver greater value to the world.

👉 2026: The New Changes Ohouse is Creating

Key Responsibilities

• Overall Customer Behavior Analysis within Life Service Team:
  • Log design and data collection structure design.
  • Definition of key metrics and performance measurement.
  • A/B test design and result analysis.
  • Customer segment classification and journey analysis.
• Overall Business Analysis within Life Service Team:
  • Tracking and analysis of revenue, efficiency, and cost-related metrics.
  • Monitoring of key business indicators and anomaly detection.
  • Root cause analysis and insight derivation upon issue occurrence.
  • Data visualization and analysis environment improvement.
  • Dashboard construction and operation for performance monitoring.
  • Data analysis environment improvement and optimization.

Required Qualifications

• 3+ years of experience in product/business data analysis.
• Proficiency in SQL, Python, and visualization tools.
• Ability to actively leverage AI to enhance work efficiency.
• Experience in designing and visualizing company-wide metrics.
• Experience using big data technologies (Hadoop, Spark, Presto, Airflow, etc.).
• Data-driven thinking and critical decision-making ability to solve complex problems.
• Experience with log design for specific interfaces/pages.

Preferred Qualifications

• Experience in e-commerce or O2O platform analytics.
• Experience analyzing large-scale unstructured data (e.g., customer VOC) and deriving insights using LLM MCP/API.
• Experience implementing AI-based productivity tools (e.g., GitHub Copilot) in practice to improve analysis process efficiency.
• Related Technical Keywords: AWS Athena, EMR, Hive, Presto, Jupyter, Airflow, Power BI, Redash, Github.

Application & Selection Process

• Application Documents: Free-form resume (required), portfolio and cover letter (optional) / PDF format recommended. Please exclude sensitive personal information such as salary, physical details, family matters, and resident registration numbers.
• Process: Document Screening > SQL Test > Professional Interview > Organizational Culture Interview & Reference Check > Compensation Negotiation > Final Offer. Some steps may be omitted or added depending on the applicant's resume and career history.
• Learn more about Ohouse's sincere and dedicated joining journey 🔍

Additional Information

• Inquiries: recruit@bucketplace.net
• This is an ongoing recruitment, and may close early upon completion.
• If false information is found in application documents, admission may be canceled.
• A 'Move in Program' for onboarding is conducted during the 3-month probation period after entry.
• Veterans and disabled persons are given preferential treatment in accordance with relevant laws.
• Privacy Policy

Compensation System

• Generous Compensation for Talent: Best compensation for the best talent.
• Stock options granted to all new hires.
• Stock options granted to high-contributing individuals.
• Company-wide incentives based on performance.

Work Environment

• Work Environment for Immersion and Growth:
  • Flexible working hours (6 AM - 10 PM).
  • Free use of vacation without approval.
  • Breakfast, lunch, and dinner support.
  • Free use of all menus at in-house cafe O!Cafe.
  • Support for books, conferences, and education.
  • Luxury massage chairs in the lounge.

Benefits

• Care for Long-Term Collaboration:
  • Health check-up support (self/spouse/parents on both sides).
  • Group insurance support (self/spouse/children).
  • Refreshment leave and long-service awards.
  • Mind care program support.
• Support to Experience the Meaning of Our Work Together:
  • Ohouse decoration support fund: 1.5 million won annually.
  • Ohouse VIP membership upgrade.

Want to know more about Ohouse's welfare benefits and optimal working environment, which are growing together with the company? 👉 Click the link!

Key skills/competency

• Data Analysis
• SQL
• Python
• A/B Testing
• Big Data Technologies
• Data Visualization
• Business Intelligence
• Customer Segmentation
• Root Cause Analysis
• AI/Machine Learning