Data Analyst / データアナリスト

Strong proficiency in Python or R and associated data science libraries (e.g., Pandas, scikit-learn, statsmodels, Tidyverse). Proven experience in applying statistical modeling and ML techniques (e.g., logistic regression, clustering, classification, predictive analytics) to real-world business problems. At least 3 years of analytical experience with advanced SQL. Experience in designing, executing, and analyzing A/B tests or other controlled experiments. Deep understanding of key statistical concepts (e.g., statistical significance, confidence intervals). Ability to translate complex data findings into a clear business narrative and actionable recommendations for stakeholders. English language in message communication (>= Communication Level English) Business level of Japanese language in communication (>= JLPT N1)

Partner with Product Managers and stakeholders to define key metrics, shape product strategy, and identify new opportunities for growth using advanced data analysis. Develop, deploy, and maintain statistical models and ML algorithms (e.g., Python/R) for clustering, segmentation, and predictive analytics to uncover deep insights into user behavior. Measure the causal impact of launched projects, distinguishing correlation from causation to understand what truly drives user behavior. Help product managers and business leaders formulate and test hypotheses through data analysis and experimentation (e.g., A/B testing). Proactively identify insights and opportunities from data, translating complex modeling results into a clear business narrative and actionable recommendations. Partner with engineering and product teams on leveraging Generative AI to solve core user problems, including analyzing unstructured data from customer support. Build views, tables, and data models on Bigquery using SQL to organize and transform datasets for analysis and feature engineering. Maintain and automate key dashboards (Looker Studio) for business metrics and communicate insights to stakeholders on a regular basis.