Description

We invite a Data Analyst to join a close-knit team of Data & AI enthusiasts.

You will have the opportunity to lead projects from idea (pilot) to launch. Your decisions will directly impact the product.

Responsibilities

• Creating reliable data collection processes: designing and implementing ELT/ETL processes, collecting, cleaning, and structuring data from various sources — the company's internal and external systems;
• Domain analysis: deep immersion in the medical and insurance spheres, identifying features and dependencies in medical and insurance data, expert work on data quality and preparing it for machine learning;
• Supporting ML model development: preparing high-quality datasets, participating in creating and optimizing models, performing calculations for their economic evaluation;
• Documenting quality standards: maintaining technical documentation in Confluence, describing data processing procedures and solution architectures, ensuring the accuracy and consistency of all materials.

Requirements

• Data analyst experience from 3 years;
• Confident knowledge of Python (pandas, numpy libraries), understanding of ELT/ETL system construction principles;
• Experience with SQL, ability to efficiently process large volumes of data;
• Basic knowledge of data visualization tools (any BI);
• Understanding the basics of Machine Learning and Large Language Models (LLM);
• Experience working with AI tools;
• Knowledge of medical or insurance business terms and specifics will be a plus.
• Instrumental proficiency in AI for analysis, generation, and automation.

Conditions

• Modern comfortable office in the center of Moscow near Prospekt Mira metro station;
• Preferential mortgage terms from Sberbank;
• Free subscription to the premium-class service SberPrime+ and discounts on products from partners: Okko, SberMarket, MegaFon, Samokat, Eapteka, and others;
• VHI from the moment of employment and special insurance programs for employees' family members;
• Participation in the corporate pension program;
• Organization of children's recreation and provision of gifts for employees' children at the company's expense;
• Employer-funded training: online courses, access to specialized literature, Corporate University events, including trainings, meetups, and professional retraining opportunities;
• Special discounts on accommodation and recreation at the Mriya Resort & SPA resort complex in Crimea.