Appealing Points:
- End-to-End BI & Power BI: Design, develop, maintain, and manage scalable Power BI dashboards, analytical products, KPIs, metrics, and semantic models.
- Data Governance & Engineering: Work across data quality, metadata management, data pipelines, ETL, data modelling, and optimization in cloud and on-premise environments.
- Business + Technical Role: Combine a 50% business / 50% technical mindset to translate business questions into analytical solutions and explore AI-driven analytics.
Annual Salary : 6.5 Million Yen and above
Job Responsibilities:
- BI Product (Power BI):
- Design, develop, and maintain end-to-end Power BI dashboards and analytical products.
- Define and standardize business KPIs, metrics, and semantic models.
- Deploy and manage solutions in Power BI services, including workspaces, apps, and datasets, to support scalable cloud-based consumption.
- Leverage AI-enabled features where relevant to enhance analytical and automation value.
- Drive continuous improvement of BI development standards, visualization best practices, and user adoption across the organization.
- Operational Reporting:
- Maintain, enhance, and support current SSRS reports for operational, financial, and regulatory reporting requirements.
- Rationalize and streamline the enterprise report inventory by reducing duplicated reports, consolidating overlapping reports, and improving reporting governance across departments.
- Monitor, troubleshoot, and optimize query performance, report execution efficiency, and scheduling processes to ensure reliable report delivery.
- Manage report user access.
- Data Governance:
- Implement and maintain data quality controls, validation checks, and reconciliation processes across departments to improve data accuracy and trust before downstream consumption.
- Manage metadata across Corporate Data Catalog and Databricks Unity Catalog.
- Contribute to establishing enterprise data standards, governance frameworks, and master data management practices.
- Collaborate with business and technical teams to improve data stewardship, documentation, and compliance with policies.
- Data Engineer & Deputy to Data Engineer:
- Support the preparation, transformation, and integration of data pipelines for reporting and analytics solutions.
- Assist with ETL development, data modelling, and optimization activities across cloud and on-premise data environments.
- Contribute to automation and standardization initiatives that enhance data delivery and reduce manual processing efforts.
Job Qualification:
- Bachelor's degree in Computer Science, Statistics, Engineering, or a comparable field.
- 3 years of working experience in IT, Finance, Financial Services, or a comparable field.l.
- Technical Knowledge – Data Visualization:
- Profound experience with data visualization tools such as Tableau or Power BI.
- Ability to write SQL/DAX to query data for visualization.
- Ability to read Power BI semantic models/Databricks to query cube data for visualization.
- Experience using Git for code version control and change logs.
- Experience with Microsoft Azure cloud infrastructure is preferred.
- On-Premise Technologies:
- Microsoft T-SQL
- SQL Server Analysis Services (SSAS) – Multi-Dimensional Cubes / Tabular Models
- SQL Server Reporting Services (SSRS)
- Visual Studio
- GitHub
- Microsoft Office
Preferred Qualifications:
- Several years of experience in IT, Finance, Financial Services, or comparable environments.
- Ideally, experience working on BI/IT projects within financial services.
- 3+ years of relevant data visualization experience.
- Strong experience with Power BI or Tableau.
- Experience with Microsoft Azure cloud infrastructure.
- Experience across cloud and on-premise data environments.
- Experience with data modelling, ETL, reporting, and data analytics.
Required languages: Business level Japanese (N2 and above) and Business Level English.
About Company:
This company has been certified as the “best employer” in 2020 by the “Top Employers Institute” which recognizes outstanding employers.
A global leader in consulting, technology, outsourcing, and next-generation services. With approximately 180,000 employees worldwide, the company helps clients in more than 50 countries stay ahead of the competition. Through the co-creation of innovative solutions, they help companies transform and thrive in an ever-changing world
[Measures against passive smoking]
No smoking indoors allowed
. Skillset Required: Power BI, BI dashboards, analytical products, KPIs, metrics, semantic models, Data Governance, data quality, metadata management, data pipelines, ETL, data modelling, optimization, cloud environments, on-premise environments, BI development standards, visualization best practices, user adoption, SSRS reports, operational reporting, financial reporting, regulatory reporting, report rationalization, reporting governance, query performance optimization, report execution efficiency, scheduling processes, report user access management, data quality controls, validation checks, reconciliation processes, Corporate Data Catalog, Databricks Unity Catalog, enterprise data standards, governance frameworks, master data management, data stewardship, data documentation, data compliance, data pipelines preparation, data transformation, data integration, ETL development, automation, standardization, Tableau, SQL, DAX, Git, Microsoft Azure, Microsoft T-SQL, SQL Server Analysis Services (SSAS), Multi-Dimensional Cubes, Tabular Models, SQL Server Reporting Services (SSRS), Visual Studio, GitHub, Microsoft Office, conversational Japanese, business English
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