Data Analyst (People Analytics)

Allegro is a company with a large-scale technical ecosystem including over 1000 microservices, an open-source data bus (Hermes) handling 300K+ requests per second, a Service Mesh with 1M+ requests per second, tens of petabytes of data, and production-used machine learning. The team works with modern AI tools and a platform of technologies such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions.

• Experience in analyzing large volumes of data and combining data from multiple sources.
• Ability to identify problems and propose effective solutions.
• Meticulousness, independence, and inquisitiveness.
• Ability to communicate analysis results and recommendations in an engaging and intuitive way.
• Very strong command of SQL and Excel.
• High proficiency in English.
• Knowledge of Python, Tableau, Hadoop, GCP, Airflow, and Git is a plus.

• Work with medium datasets.
• Support stakeholders with data and insights when needed.
• Apply established methods to routine tasks without guidance.
• Produce standard insights without supervision.
• Own analytical tasks and identify out-of-scope ones.
• Offer guidance to stakeholders, provide ideas, and challenge requests.
• Actively contribute ideas within the team.
• Provide various types of analyses: cohorts, trends, customer path, attribution, retention, incrementality, forecasting, A/B testing, preparation of business cases, settlements, post-mortems, and maintenance over dashboards/dataflows.
• Possess effective knowledge of the Allegro analytical tech stack (including SQL, Data Studio/Tableau, Python, AirFlow, GitHub).