MBF_Reporting & Data Analyst

＜Overview of This Position>
About Mercedes-Benz Finance Japan & the Role
Mercedes-Benz Finance Japan (MBF) plays a key role in enabling customers to experience the Mercedes-Benz brand by providing tailored financial solutions. We offer leasing and loan products that make it easier for individuals and businesses to purchase Mercedes-Benz vehicles, supporting the entire customer journey—from vehicle selection to ownership. By combining financial expertise with a premium automotive brand, MBF ensures a seamless and attractive mobility experience for our customers across Japan.
Within this business, the Data, Analytics & BI team is at the core of data-driven decision-making. Our mission is to transform complex data into meaningful insights that empower the organization—from sales and risk management to finance and operations. We design scalable data solutions, develop intuitive dashboards, and continuously enhance our analytics capabilities using modern cloud technologies and emerging AI-driven approaches.

As part of this team, you will play a crucial role in shaping how data is used across the company—bridging business needs with technical solutions, driving transparency through reporting, and helping MBF make smarter, faster decisions in a highly competitive market.

<Responsibilities>
As a Reporting & Data Analyst, you transform complex data into actionable insights and significant business value. You'll collaborate with product owners to design and deliver scalable, end-to-end BI solutions, including intuitive dashboards and reports.
Your role demands a strong grasp of data structures, flows, processing logic, data engineering principles on cloud platforms. With a 50% business/50% technical mindset, you'll build robust, business-oriented data models, ensuring reliable outputs aligned with the Mercedes-Benz data strategy. You'll also explore the emerging AI-driven analytics to enhance our BI analytical capabilities.
With solid experience in BI/IT projects, ideally within financial services, you'll translate business questions into analytical solutions and communicate compelling insights through effective data storytelling.

【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 (workspaces, apps, 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/streamline enterprise report inventory by reducing duplicated reports, consolidating overlapping reports, and improving reporting governance across departments
- Monitor, troubleshoot, and optimize query performance and 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 prior to downstream consumption
- Metadata management across Corporate Data Catalog and Databricks Unity Catalog
- Contribute to the establishment of enterprise data standards, governance frameworks, and master data management practices
- Work collaboratively with business/technical teams to improve data stewardship, documentation, and compliance with policies

【Data Engineer & Deputy to Data Engineer】

- Support 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 effort