Job Description

Metro Global Solution Center (MGSC) is internal solution partner for METRO, a €31.6 Billion international wholesaler with operations in more than 30 countries. The store network comprises a total of 623 stores in 21 countries, of which 522 offer out-of-store delivery (OOS), and 94 dedicated depots. In 12 countries, METRO runs only the delivery business by its delivery companies (Food Service Distribution, FSD).

HoReCa and Traders are core customer groups of METRO. The HoReCa section includes hotels, restaurants, catering companies as well as bars, cafés and canteen operators. The Traders section includes small grocery stores and kiosks. The majority of all customer groups are small and medium-sized enterprises as well as sole traders. METRO helps them manage their business challenges more effectively.

MGSC, location wise is present in Pune (India), Düsseldorf (Germany) and Szczecin (Poland). We provide HR, Finance, IT, Strategy, Branding & Business operations support to 31 countries, speak 24+ languages and process over 18,000 transactions a day. We are setting tomorrow’s standards for customer focus, digital solutions, and sustainable business models. For over 10 years, we have been providing services and solutions from our two locations in Pune and Szczecin. This has allowed us to gain extensive experience in how we can best serve our internal customers with high quality and passion. We believe that we can add value, drive efficiency, and satisfy our customers.

Preferred Work Experience -

• Minimum 4 years of experience in data analytics, business intelligence, or reporting.
• Hands-on experience in SQL, Python scripting, and VBA development.
• Experience in developing Python scripts from scratch and modifying existing scripts as per business requirements.
• Experience in data extraction, transformation is must and visualization tools good to have but not mandatory (Google Cloud Platform, MicroStrategy).
• Familiarity with SAP Fi/CO Supplier master data tables, extraction of data, validation of data, and reporting of data as per the business requirements.
• Proven track record in ETL process development and data quality management.
• Strong experience in understanding business requirements and documenting those requirements to ensure expected delivery.
• Ability to manage multiple projects and ensure timely data reporting.
• Strong stakeholder management skills to collaborate with internal teams and business leaders.
• Experience in process optimization, automation, and performance improvement initiatives.
• Strong problem-solving and decision-making skills.
• Ability to mentor junior analysts and drive knowledge-sharing within the team.

Qualifications

• Bachelor's or higher degree in Computer Science, Information Technology, Business Informatics, or a related field (e.g., B.Sc (IT), MCA, B.Tech, B.Sc (CS)).
• Strong academic background in data analytics, database management is preferred.

Additional Information

Required Technical Competencies -

• Strong knowledge of SQL.
• Strong experience in Python scripting, including creating scripts from scratch and modifying existing ones based on business needs.
• Advanced Excel proficiency (macros, pivot tables, complex formulas) and database modeling.
• Knowledge of SAP Fi/CO data structures added advantage.
• Experience in Google Cloud Platform, QlikView & MicroStrategy (Added advantage).

Required Functional skills -

• Experience in writing SQL queries for data extraction from GCP/Oracle data warehouse.
• Strong knowledge of Supplier Master Data Management / reporting.
• Ability to modify scripts and optimize data processing workflows.
• Develop Python scripts from scratch for automation, data transformation, and analytics.
• Enhance and modify existing Python scripts to meet evolving business requirements.
• Experience in data validation, master data reporting, and quality control.
• Strong analytical and conceptual skills to improve application performance.
• Ability to document processes and functional specifications effectively.
• Ability to document business requirements and ensure they are clearly translated into deliverable solutions.
• Adaptability to acquire technical skills as per the business needs.

Behavioral Competencies-

• Attention to Detail – Ensures accuracy in data extraction, transformation, and reporting.
• Analytical Thinking – Ability to interpret data patterns and generate insights.
• Problem-Solving – Identifies and resolves data discrepancies and performance issues.
• Proactiveness & Initiative – Suggests improvements for automation and process optimization.
• Stakeholder Collaboration – Engages with internal teams for seamless data integration.
• Communication Skills – Effectively conveys complex data concepts to technical and non-technical audiences.
• Adaptability & Continuous Learning – Stays updated on new technologies and industry trends.