Data Analyst- AI Enabler

Company Description

Metro Global Solution Center (MGSC) is internal solution partner for METRO, a € 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, Branding, Strategy 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:
Company Size:
Headquarters: Pune, Maharashtra, India
Type: Privately Held
Inception: 2011

Job Description

Your Responsibilities:

• Collaborate with our central data experts to stabilise existing dashboards and implement new ones that support cross-functional needs.

• Build and maintain insightful dashboards and detailed reports tailored to diverse audiences, including product squads and senior leadership.

• Explore our central data platform to uncover new use cases, identify opportunities, and highlight areas for improvement.

• Serve as a central point of contact for data-related topics, connecting various elements of our data ecosystem.

• Champion data quality by identifying issues and supporting resolution efforts to ensure accurate tracking and reporting.

• Partner directly with Squad Leads to drive data initiatives forward, operating with a high degree of autonomy.

• Translate complex datasets into compelling narratives and visualisations that support decision-making across the organisation.

• Promote data literacy and empower product teams and stakeholders to use data effectively in their daily work.

Qualifications

 Required key competencies and qualifications:

• Data Engineer experience of 5-8 yrs.

• Proven experience in a Data Engineer role, ideally within agile, cross-functional teams.

• Strong analytical and conceptual thinking, with a talent for solving complex problems.

• Expertise in data visualisation and storytelling, with hands-on experience using tools such as Looker Studio (preferred), MicroStrategy, or Tableau.

• Intermediate to advanced SQL skills, with a track record of querying large datasets in BigQuery.

• Solid understanding of centralised data platforms and the Google Cloud Platform (GCP) ecosystem, including Identity and Access Management (IAM) concepts.

• Familiarity with core statistical concepts, including summary statistics and outlier detection.

• Awareness of foundational AI concepts and their relevance to data analysis and product development.

• Proactive, self-aware, and customer-oriented mindset, with a positive and collaborative attitude.

• Excellent communication skills in English, both written and verbal.