Y. Hata & Co., Limited is seeking an Enterprise Analytics Lead Data Analyst to serve as the technical authority and standards owner for enterprise analytics. This role will define and govern enterprise metric definitions, develop advanced analytical and AI-assisted solutions, and continuously improve reporting and decision support methods.
Requirements
- Own enterprise metric definitions, calculations, assumptions, and authoritative data sources.
- Serve as data steward for enterprise analytics, ensuring consistency, accuracy, and alignment with governance standards.
- Define and maintain standards for analytics and AI-assisted analysis, including validation, explainability, and appropriate use.
- Maintain clear, authoritative analytics and AI documentation, including assumptions, limitations, and usage guidance.
- Govern high-impact analytics to mitigate risk related to financial reporting, cost management, customer experience, and operational continuity.
- Design, develop, and maintain advanced Power BI dashboards using optimized data models and DAX.
- Integrate AI-enabled capabilities (e.g., forecasting, anomaly detection, automation) into analytics solutions where they add measurable value.
- Continuously improve analytics solutions to increase clarity, performance, scalability, and decision-making impact.
- Develop advanced analytical and AI-augmented methods to generate insight into pricing, supply chain, customer behavior, and financial performance.
- Maintain accountability for the technical accuracy, reliability, and performance of analytics used in planning, purchasing, pricing, and operational analysis.
- Write and optimize complex SQL queries to extract, validate, and transform enterprise data.
- Apply best practices in analytical and AI-ready data modeling and performance optimization.
- Establish and apply data validation, reconciliation, and quality-assurance practices.
- Ensure analytics and AI solutions comply with data access, security, confidentiality, and responsible-use requirements.
- Own the technical integrity of enterprise analytical data models that inform financial, inventory, pricing, and operational analysis.
- Translate ambiguous business questions into structured analytical approaches and actionable insights.
- Scope analytical requests with stakeholders to clarify intent, assumptions, and intended use.
- Enable self service analytics through intuitive reporting, reusable metrics, and user education.
- Support cross functional adoption of approved analytics standards, metrics, and reporting.
- Monitor adoption and effectiveness of analytics solutions and iterate to improve decision support.
- Mentor Analyst I and Analyst II team members in advanced analytics, Power BI, and responsible AI use.
- Set expectations for analytical rigor, documentation quality, and continuous improvement.
- Serve as a technical leader in advancing analytics maturity and data literacy through influence and example.
Benefits
- Rewarding Compensation
- Your Health Matters
- Time to Recharge
- More Than Just Perks
- Investing in You
- Plan for Tomorrow
