Lead high-difficulty AI projects, manage quality across multiple projects, and mentor junior data scientists.
About this role
ANDPAD is a construction-industry collaboration platform used by roughly 265,000 companies and 690,000+ users. As the business grows, the company is building out data utilization to support decision-making across departments using accumulated construction-site data. This Data Analyst works closely with product managers, sales, engineers, and customer success to: analyze data that supports product strategy and decision-making; design KPIs/OKRs and build systems to operate them continuously; plan and build analysis models to improve product features or internal business processes; deliver technical presentations to internal and external stakeholders; and drive use of corporate data together with corporate teams. The data environment uses Python 3, BigQuery as the data warehouse, Metabase and Looker Studio for BI, Dataform for data transformation, Vertex AI Workbench for analysis, and GitHub for version control. Required qualifications include experience completing data analysis projects that delivered outcomes beyond visualization (e.g., improving internal/external business processes, designing and operating KPIs/OKRs), programming skills in Python, R, Julia, or SQL for data acquisition and preprocessing, and a basic understanding of statistics such as confidence intervals, hypothesis testing, and effect size. Preferred qualifications include experience managing data analysis projects or teams, ETL design/operation experience using Python or Java, experience with data transformation tools such as Dataform or dbt, knowledge of data modeling (e.g., star schema), and external technical output such as writing, blog posts, or conference talks. Work is flextime (10:00-19:00, core hours 11:00-15:00) at the Tokyo (Minato-ku) head office, with full remote work negotiable.
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