Data Analyst

Job Description The company is an entertainment company that operates a variety of characters, as well as global retail and licensing businesses using those characters. As the company enters its second founding period, it is seeking new members to join the team as it transforms its entertainment business through technology and innovation. Specific tasks include: ・Define requirements and manage schedules for internal data utilization projects ・Negotiate and coordinate with various departments, address issues, and propose solutions ・Collaborate and direct team members and external vendors ・Support the implementation and operation of BI tools and data infrastructure ・Visualize project results and create reports ・Promote data governance and quality control ・In-house awareness activities to foster a data-driven culture [Specific Work Topics] ・Optimize inventory through ordering ・Improve sales negotiation efficiency ・Verify the effectiveness of 1-to-1 marketing initiatives, etc. [Job Highlights] ・Utilize the abundant data obtained from our own services and external data to advance the operations of Japan's leading entertainment company through data. ・Due to the cross-departmental structure, you will be involved in supporting data utilization in various departments, including merchandise sales, licensing sales, and park operations. [Required Qualifications] - Experience leading projects related to data utilization and business improvement at a consulting firm or business company (especially in the entertainment industry) (approximately 3+ years) - Experience coordinating and negotiating with internal and external stakeholders - Ability to lead a small team (approximately 3-5 people) and drive projects while managing tasks, progress, and risks - Knowledge of statistics, mathematics, and analysis at the Statistical Certification Level 3 level, and ability to compile and visualize data using Excel [Preferred Qualifications] ■ Deep knowledge and skills related to data utilization - Experience using BI tools (Tableau, Power BI, Looker, etc.) - Data processing skills such as SQL, Python, and R - Experience using data science skills such as machine learning to improve business operations ■ Management skills - Departmental management experience (including evaluation and recruitment) [Language Requirements] - Business-level English proficiency (TOEIC 735-860) - Japanese Level: Native Level