Senior Data AnalystEnglish summary from Japanese

Nice-to-haves

• Experience creating complex queries (JOIN, subqueries, window functions, CTEs, etc.)
• Practical experience in performance tuning
• Practical experience with BI tools (Looker, Tableau, PowerBI, etc.)
• Experience designing, developing, and operating dashboards
• Experience supporting and training business departments on tool adoption
• Experience with large-scale development using data modeling tools like dbt
• Understanding and practice of data modeling best practices
• Skills to improve efficiency of analysis tasks and solve business problems by improving prompts with an understanding of LLM characteristics
• Knowledge and experience in big data processing using cloud platforms like AWS, GCP
• Experience utilizing AI/ML functions on cloud platforms
• Experience with dbt for complex data modeling
• Experience designing and implementing data pipelines (ETL/ELT processes)
• Experience integrating data between data infrastructure and external tools (Salesforce, Marketo, Google Sheets, etc.)
• Data visualization skills to extract business insights
• Knowledge and practical experience in unstructured data (text/voice) analysis
• Knowledge of data security and governance
• Experience utilizing data in new businesses or support services, and understanding of B2B SaaS products
• Practical experience with Python (data analysis using pandas, numpy, matplotlib; data preprocessing, EDA, automation script development)
• Practical experience with statistical analysis (descriptive statistics, correlation analysis, hypothesis testing)

Tech stack

Work style

Hybrid work is promoted, but approximately 3 days per week attendance at the office is required for team building. Location: Tokyo.

Other notes

Salary: Negotiable. Employment type: Full-time employee. Probationary period: 3 months. Working hours: Flextime system (core time 10:00-16:00).