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Salary
≈ $14k – $31k per year (Estimated)
Location
In office (Tashkent)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Sep 19, 2026. Ipotekabank OTP Group scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Tashkent, Uzbekistan, Ipotekabank is one of the country's leading commercial financial institutions, specializing in mortgage financing and residential credit. Operating as a member of Hungary's international OTP Group, the bank provides a comprehensive suite of retail, SME, and corporate banking products, including deposit accounts, personal loans, and payment solutions.

Ищем Data Analyst уровня Middle / Senior, который умеет самостоятельно работать со сложными данными DWH, глубоко понимает логику их формирования и переводит бизнес-задачи в понятные требования к данным и аналитическим витринам.

Чем предстоит заниматься

  • Проводить глубокий анализ данных, находить закономерности, аномалии и проблемы качества.
  • Писать сложные SQL-запросы и строить аналитические выборки и витрины.
  • Работать с DWH и Data Lake как потребитель данных.
  • Разбираться в ETL/DAG и lineage, понимать логику трансформаций и взаимодействовать с Data Engineer.
  • Формулировать требования к витринам и данным, участвовать в приёмке результатов.
  • Контролировать качество данных и участвовать в развитии Data Governance.
  • Для Senior - задавать стандарты аналитики, методологии и качества данных, проводить code review и менторить коллег.

Что важно

  • Уверенный SQL: CTE, оконные функции, сложные запросы и базовая оптимизация.
  • Опыт работы с DWH и распределёнными СУБД: Greenplum, ClickHouse, Vertica и/или аналогами.
  • Понимание моделирования данных: факты, измерения, SCD, star/snowflake.
  • Понимание слоёв DWH: staging → core → витрины.
  • Умение читать ETL-код и Airflow DAG без необходимости самостоятельно разрабатывать пайплайны.
  • Python (Pandas) - для анализа и автоматизации.
  • Git - уверенная работа с репозиториями и версионированием.
  • Понимание принципов Data Quality, Data Governance и lineage.

Будет плюсом

Опыт в финтехе или банкинге: платежи и транзакции, кредиты, расчёты и сверки, риск-метрики, AML/KYC, антифрод.

Для Senior дополнительно

Ожидаем системное мышление, самостоятельность в принятии решений, опыт проектирования аналитических витрин на уровне требований, развитые навыки наставничества и способность задавать единые стандарты аналитики и качества данных.

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