Metro Global Solution Center (MGSC) is internal solution partner for METRO, a €31 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 \& 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.
Website: https://www.metro\-gsc.in
Company Size: 1000\+
Headquarters: Pune, Maharashtra, India
Type: Privately Held
Inception: 2011
We are seeking a specialist/ team lead who is responsible for overseeing the accuracy, consistency, and governance of organizational data across systems and processes. The role ensures robust data‑quality frameworks, drives standardization, and leads the team in maintaining reliable datasets that support analytics, reporting, and business decision‑making. This position also collaborates closely with cross‑functional partners to streamline data flows, resolve discrepancies, and continuously improve data‑management practices.
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