Skillhouse Internal Career Opportunity
Data Science & AI Analytics - Business Systems Analyst (BSA)
Position Title:
Data Science & AI Analytics - Business Systems Analyst (BSA)
Employment Type:
Skillhouse Contract
Working Hours:
English Level - High Intermediate (TOEIC 730), Japanese Level - Advanced (JLPT Level 1)
Salary
Description
A global and one of the world’s largest Insurance Service providers is seeking an experienced Data Science & AI Analytics - Business Systems Analyst (BSA) to join its Data Science & Advanced Analytics (DNA) Team, supporting enterprise data analytics, machine learning, and AI-driven business initiatives. The successful candidate will serve as a key bridge between business stakeholders, Data Scientists, Data Engineers, and IT delivery teams, translating business requirements into actionable data and analytics solutions.
This role combines Business Analysis, Data Analytics, AI/ML Delivery, and Project Management, requiring both strong business understanding and technical knowledge to lead discussions across modern data and AI platforms.
Responsibilities:
- Business Analysis & Requirements Management: Engage with Japanese business stakeholders to identify business challenges, gather requirements, define use cases, and translate business needs into clear functional and technical specifications
- Data Science & AI Project Delivery: Lead and coordinate analytics, predictive modeling, machine learning, and AI initiatives from initial discovery through implementation, testing, deployment, and business adoption
- Cross-functional Collaboration: Work closely with Data Scientists, Data Engineers, Cloud/Platform teams, and application developers to design and deliver scalable data-driven solutions
- Data Analysis & Solution Design: Analyze datasets using SQL, Python, and analytical tools to validate requirements, identify data quality issues, and support solution design
- ML & Analytics Lifecycle Management: Coordinate ML model development, testing, validation, deployment, and monitoring while ensuring alignment with business requirements and delivery timelines
- Cloud & Data Platform Integration: Collaborate with engineering teams working on Azure-based data platforms, data pipelines, cloud analytics, and MLOps environments
- Project & Delivery Management: Manage project schedules, deliverables, dependencies, risks, issues, and stakeholder expectations to ensure successful and timely delivery
- Data Governance & AI Risk Management: Support data quality, data privacy, model validation, explainability, and responsible AI practices in accordance with enterprise governance standards
- Business Acceptance & Value Realization: Define acceptance criteria, coordinate UAT, support business adoption, and measure the effectiveness of delivered analytics and AI solutions
- Documentation & Reporting: Prepare business requirements documents, user stories, process flows, data mappings, dashboards, and project status reports for technical and business stakeholders
Required Skills:
- 5+ years of experience in Business Systems Analysis, Data Analytics, Data Science delivery, or technology consulting, preferably within large enterprise environments
- Strong experience gathering business requirements and translating them into functional specifications, user stories, acceptance criteria, and technical deliverables
- Good understanding of Data Science, Machine Learning, Predictive Analytics, and AI/ML development lifecycles
- Working knowledge of SQL and Python, including data analysis using Pandas or similar libraries
- Experience working with Microsoft Azure data and analytics services, such as Azure Machine Learning, Azure Data Factory, Azure Databricks, or equivalent platforms
- Understanding data pipelines, ETL/ELT processes, data modeling, data quality, and enterprise data integration
- Experience with Power BI or similar business intelligence and data visualization tools
- Familiarity with MLOps, CI/CD, model deployment, and monitoring in cloud-based analytics environments
- Proven ability to manage analytics or IT projects, coordinate technical teams, and deliver solutions within agreed timelines
- Strong communication, stakeholder management, documentation, and problem-solving skills
- Ability to work effectively with Japanese business stakeholders and global technology teams
Why should you apply:
- Work on High-Impact Data & AI Initiatives: Contribute to analytics, machine learning, and AI programs supporting business transformation at one of the world's leading insurance organizations
- Modern Cloud & AI Technology: Gain exposure to enterprise Azure data platforms, advanced analytics, and modern MLOps practices
- Business & Technical Ownership: Take a central role in translating real business challenges into practical data science and AI solutions
- Global Collaboration: Work alongside experienced Data Scientists, engineers, and international technology teams
- Flexible Working Environment: Enjoy a hybrid work arrangement with two days in the office and three days’ work from home
Company Details:
A US based world’s leading insurance providers, offering a broad range of life, health, and retirement solutions to individuals, families, and businesses. The company is heavily invested in digital transformation, utilizing advanced technologies like cloud computing, data analytics, AI, and cybersecurity to enhance customer experience and streamline operations. As part of its values, it has a strong focus on creating a diverse environment, and in particular on the appointment of women in high-level position.
Working Hours: 9:00 - 18:00 (Mon-Fri)
Working Style: 3 days’ work in office, and 2 days’ work from home
Holidays: Saturday, Sunday, National Holidays, Year-end and New Year Holidays, Paid Holidays
Services/Benefits: Transportation expenses up to 20,000 yen per month, plus Paid leave, plus social insurance (health insurance, welfare pension, and work-related accident insurance), Periodic health examination, and Employment insurance
