A Fortune 500 Global Insurance company is seeking a Business System Analyst with Data Scientist & Analytics background. 

Responsibilities

- Collaborate with business stakeholders to gather requirements, understand business context, and derive data-driven solutions

- Lead and oversee data analytics initiatives, including planning, executing, and delivering high-quality analytical solutions

- Work in close collaboration with the data platform team and other IT teams, identifying dependencies and resolving blockers to ensure smooth development processes

- Utilize CI/CD, MLOps, Azure or similar cloud platforms, and DevOps to streamline development and deployment processes

- Utilize hands-on skills with SQL, Python, Pandas, PySpark, AzureML, and PowerBI to develop and implement data models and analytics

- Prepare detailed documentation for analytics and ML initiatives, including project deliverables

- Communicate effectively with team members and leadership through presentations on analytics and machine learning requirements, progress, and outcomes

- Work with the Application Development team to implement data strategies, build data flows

【Company Details】
A U.S.-headquartered insurance company with offices in major cities around the world and a 40+ year history in Japan. The company focuses on creating a diverse environment, including the promotion of women in IT, and supports their career development in Japan and abroad.

【Working Hours】
9:00 - 18:00（Mon - Fri）

*Hybrid (2 days Work from Home per week)

【Holidays】
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, and Other Special Holidays

【Services / Benefits】
Social insurance, Transportation Fee, No smoking indoors allowed (Designated smoking area), etc.

- Experience in advanced analytics roles within companies, delivering successful business outcomes

- Proven track record of success in advanced analytics roles, with strong leadership skills

- Proficiency in quantitative methods and business analytics, with strong problem-solving skills

- Ability to build and apply data models using machine learning techniques such as classification, regression, clustering, time-series analysis, and dimensionality reduction

- Competent in programming with tools like Python and SQL

- Strong understanding of data visualization tools, especially PowerBI

- Experience with CI/CD, MLOps, and cloud platforms like Azure for deploying analytics and ML solutions

- Hands-on experience with data analytics tools and libraries such as Pandas, PySpark, and AzureML