Data Analyst

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.
Job Description
Your Responsibilities:
Building and maintaining dashboards tailored to the target audience to track key KPIs and provide in-depth reporting;
Digging into data to uncover new use cases and identify potential areas for improvement;
Supporting experimentation practices where relevant, including analysis and interpretation of results;
Identifying and assisting with resolving data quality issues for accurate tracking and reporting;
Collaborating closely with business and technical stakeholders to support data-driven decision-making and processes;
Developing new KPIs as needed;
Promoting and educating business and technical stakeholders about effective data usage.
Qualifications
Required key competencies and qualifications:
Strong analytical and critical thinking skills, with the ability to structure complex business questions, identify patterns, challenge assumptions, and uncover root causes in data;
Strong communication skills, with proven experience presenting data insights clearly and tailoring messages for both technical and non-technical stakeholders;
Advanced SQL and query optimization knowledge, with hands-on experience in BigQuery;
Knowledge of data processing technologies such as Google Dataform, BigQuery scheduled queries, or similar orchestration and transformation tools;
Proven experience with visualizing data in an insightful way for the right audience with Data Studio, Microstrategy, Tableau, Looker or other dashboarding tools;
Experience with experimentation, testing methodologies, and statistical evaluation of results is a plus;
Good statistical knowledge, including data distributions, statistical tests, error types, and summary statistics; experience with advanced methods such as regression, time series analysis, or Bayesian statistics is a plus;
Proficient in Python for conducting ad-hoc and exploratory data analyses, primarily using Jupyter notebooks;
Solid understanding of version control with Git;
Experience with cross-functional collaboration throughout the broader organization;
Ability to quickly understand new business contexts and adapt to different data domains;
Self-aware, positive, and strongly committed to customer orientation;
Hands-on experience with Google Cloud Platform analytical technologies is required;
Very good fluency in English (written and verbal).

Work arrangement
No