JPN&ENG Bilingual Lead Analytics Specialist@Global FMCG Company~15M JPY. 東京23区, 東京都. ¥10,000,000 - ¥15,000,000 per year. 年収1,000 ~ 1,500万円. Job category: information technology. 社名非公開. Responsibilities: Strategic Business Partnering & Actionable Insights; Commercial Deep Dives & Experimentation; Cross-Functional Collaboration & Data Reliability. Requirements: Extensive Commercial Analytics Experience (5+ years); Advanced Data Querying and Visualization (SQL, Power BI); Statistical Programming Skills (Python). Benefits: 健康保険, 厚生年金保険, 雇用保険, 休日休暇 (土曜日, 日曜日, 祝日), 賞与あり.
業務内容:
Strategic Business Partnering & Actionable Insights: Act as a trusted analytics partner for stakeholders, delivering high-quality, actionable insights to solve commercial challenges. This includes scenario modeling, forecasting, and contributing to business case development for strategic projects
Commercial Deep Dives & Experimentation: Conduct rigorous analysis on drivers of profitability, product mix, and pricing elasticity. Proactively identify top-line growth and efficiency opportunities, and design, implement, and statistically evaluate A/B tests and pilots to generate business-ready recommendations for scaling initiatives
Cross-Functional Collaboration & Data Reliability: Work closely with the DS/AI team to inform model development and validate results. Ensure timely execution within an Agile framework, drive continuous process improvement through automation, and actively monitor and collaborate with Data Engineering/Governance teams to enhance data quality and reliability of all analytics deliverables
応募資格:
Extensive Commercial Analytics Experience: Minimum of 5+ years in analytics/business intelligence roles, with a proven track record of supporting commercial teams by conducting deep-dive analysis, delivering actionable insights, and leading A/B testing/pilots
Advanced Data Querying and Visualization: Expertise in advanced SQL (specifically with Snowflake) for data manipulation and strong proficiency in Power BI for dashboarding and self-service analytics
Statistical Programming Skills: Proficiency in Python (specifically with Databricks) for exploratory data analysis and statistical testing (e.g., hypothesis testing, regression)