Аналитик КХД
Bell Integrator - Data Analyst. Format: possible remotely; cities - Moscow, St. Petersburg, Yekaterinburg. The salary is not specified in the vacancy - it will be discussed during the interview. Project: Calculation of the amount of credit risk for the loan portfolio of claims on corporate borrowers and the Bank's securities based on internal ratings (Bank of Russia Regulation 483-P) and in accordance with Bank of Russia Instruction 199-I. Management reporting on RWA PVR, factor and portfolio analysis, RWA optimization. Functionality for test calculations of hypotheses without reflection in the Bank's reporting. Requirements: - Higher natural science, technical or economic education; - Experience working on projects for the implementation/development of data warehouses and/or Data Lake for at least 3 years; - Deep knowledge of SQL (Oracle, PostgreSQL dialects), writing complex queries, reading PL\SQL code; - Experience in designing and developing reporting based on one of the tools: MS SQL Reporting Services, Tableau; - Experience in designing database objects, understanding data warehouse architecture; - Skills in describing data loading flows into storage facilities - (DWH), preparation of technical documentation (Source2Target, TK) Experience with ETL tools is desirable, preferably with Informatica Power Center; - Familiarity with ClickHouse and GreenPlum will be a plus; - Experience with tracking systems and, in particular, JIRA. Additional (desirable) requirements - Knowledge of corporate lending processes - Experience in participating in large projects in the field of finance, government. services or retail - General understanding of the goals and methods of microservice architecture - Ability to use the Use Cases technique - Experience with BPMS Camunda Tasks: - Development of new data showcases, modification of the Bank’s existing display cases based on BT as part of the Bank’s transition project to PVR - Develop and implement an industrial base (showcase) of defaults, based on the developed default criteria, including the necessary attributes (for example, default date, recovery date, default events, etc.) - Develop showcases with historical data, some constants for past periods. - Integration of historical showcases into current (future) processes and data flows Source: Habr Career, published 08/09/2026. The response is on the original page.
Аналитик по данным · SQL · Python · ETL · DWH · Москва · Санкт-Петербург · Екатеринбург · Удалённо
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