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Аналитик данных

Sber • Russian: C1 • LLM & Generative AI • Cloud Platforms (IaaS & PaaS) • Python • SQL • Scala • 19 days ago
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Salary
≈ $17k – $40k per year (Estimated)
Location
In office (Moscow)

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 1, 2026. Sber scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Sber

Sber is Russia's largest bank and the centre of one of the country's biggest technology ecosystems, tracing its origins to savings institutions established in 1841. It serves over a hundred million retail customers and several million businesses through branch, mobile and web channels, and holds a dominant share of the national deposit, lending and payment markets. Over the past decade the group has built out an ecosystem well beyond banking, spanning e-commerce, food delivery, streaming media, cloud infrastructure, devices and the GigaChat family of large language models developed by its own AI research teams.
sber.ru • HQ: Moscow, Russia • Cloud Platforms (IaaS & PaaS) • LLM & Generative AI • Investment Banking & M&A Advisory • Wealth Management & Financial Advisors • Commercial & Retail Banks • 5000+ employees • Est. 1841
Tech stack of Sber
Backed by Sber500

Команда аналитики Клиентского опыта и обслуживания КИБ

Обязанности

  • исследование данных: поиск источников, взаимодействие с владельцами данных по их интерпретации, выявление статистических закономерностей
  • написание сложных запросов sql/python/pyspark для извлечения данных,связанных с аналитикой клиентской базы, опыта взаимодействия клиентов с банком,поиском причин изменения поведения клиентов и ключевых метрик банка
  • создание скриптов для регулярных выгрузок и прототипов витрин данных для последующего вывода в промышленные источники (в т.ч для BI-отчетности)
  • взаимодействие с бизнес-заказчиками: cбор и обработка бизнес-требований, декомпозиция задач
  • аd-hoc аналитика
  • разбор обращений пользователей по действующей отчетности

Требования

  • уверенное знание SQL (сложные JOIN-ы, оконные функции, CTE, подзапросы, оптимизация производительности запросов)
  • уверенное владение Python для анализа больших объемов данных. Опыт работы с Hadoop/Spark
  • коммуникационные навыки и умение эффективно взаимодействовать с коллегами
  • навык сбора бизнес-требований и оформления ТЗ
  • опыт работы с AI-инструментами для аналитики и разработки (GigaCode, GigaChat, DeepSeek, Qwen, Claude и т. п.)
  • знание Scala будет преимуществом

Условия

  • комфортный современный офис
  • корпоративный спортзал и зоны отдыха
  • уникальная система обучения Сбера для профессионального и карьерного развития
  • программа адаптации и помощь руководителя на старте
  • расширенный ДМС и льготное страхование для семьи
  • гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
  • подписка Прайм с возможностью совместного использования на трёх близких
  • вознаграждение за рекомендацию друзей в команду Сбера
  • корпоративная пенсионная программа.
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