30 days ago
Pune, IndiaSenior
Responsibilities
- Design and implement financial reporting and planning data solutions using Google BigQuery and SQL.
- Define scalable data models, KPI structures, financial hierarchies, semantic layers, and reporting-ready data structures.
- Translate finance, controlling, planning, and forecasting requirements into technical solution designs and implementation approaches.
- Ensure solutions meet performance, scalability, maintainability, data quality, and cost-efficiency requirements.
- Lead solution workshops and architecture discussions with Finance, Controlling, IT, and business stakeholders.
- Support migration from SAP BW to BigQuery, including transfer of business logic, calculations, and hierarchies.
- Define reconciliation and validation approaches and support integration of SAP and other finance-related source systems.
- Establish technical governance, design standards, and reporting best practices.
- Identify opportunities for AI-enabled analytics and advanced forecasting capabilities.
Requirements
- At least five years of experience in data warehousing, analytics engineering, business intelligence, solution design, or analytics architecture.
- Proven hands-on experience designing and implementing Google BigQuery solutions in production environments.
- Strong SQL development and optimization skills.
- Strong knowledge of dimensional data modeling, semantic layers, enterprise reporting architecture, data integration, reconciliation, data quality, performance tuning, and cloud cost optimization.
- Experience delivering enterprise-scale reporting, cloud data platform, or modernization initiatives.
- Ability to translate complex finance and business requirements into scalable technical solutions.
- Solid understanding of financial reporting, management reporting, controlling, planning, and forecasting processes.
- Experience working effectively across business and technical teams in an international environment.
- Preferred experience with SAP BW, SAP ECC, SAP S/4HANA, MicroStrategy or comparable enterprise reporting platforms, and enterprise planning and performance management platforms such as Tagetik.
- Knowledge of P&L reporting, cost centre reporting, financial hierarchies, actual-versus-budget analysis, forecasting, AI-enabled analytics, generative AI, predictive analytics, or advanced forecasting solutions.
- Strong analytical, structured problem-solving, communication, stakeholder management, collaboration, and decision-driving skills.
Tech Stack
Categories
Data Engineering
About METRO AG
METRO AG is a German wholesale company serving hotels, restaurants, caterers (HoReCa) and independent retailers via cash-and-carry stores and foodservice delivery. It operates in more than 30 countries with a network of stores and dedicated delivery depots, supported by global shared-service centers for IT, finance, and HR. Headquartered in Düsseldorf and established as METRO AG in 1996, it is a publicly listed business focused on professional B2B customers rather than consumers.