
Rustam Syrtlanov
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Rustam Syrtlanov
- Bis heute 2 Jahre und 8 Monate, seit März 2023
Senior Data Analyst
Raiffeisen Bank International AG
• Leading tech & business analysis (data migration), standardized reports & metrics. • Migrating group reporting (SAS to Oracle DWH, ~50 indicators). • Transitioning from monolithic to microservices; metadata lineage automation. Achievements • NPL data platform (100+ internal users) & Jira alerting tool (mandatory fields). • Data quality dashboards (DQ check success 94% up). • Migrated credit card accounting (~3M daily records, 0% data loss). • Built Python tool (metadata lineage); automated DQI reporting.
- 8 Monate, Aug. 2022 - März 2023
Senior Data Analyst
Gazprombank
• Migrated retail reporting from Sybase IQ/Excel to MS SQL, SSAS, SSRS & Power BI. • End-to-end analysis of data sources and reports for Cards, Deposits, and Investment products. • Tech leadership in BI team (architecture guidance); Stakeholders collaboration (requirements, timelines & UAT). Achievements • OLAP cubes and Power BI dashboards (1,000+ regional users, 5% up in premium client retention). • Optimized cube structure (reduced reporting time by 85%). • Structured migration plan & legacy reports.
- 1 Jahr und 2 Monate, Juli 2021 - Aug. 2022
Senior Data Analyst
Sberbank Leasing
• Maintained DWH, OLAP cubes, ETL workflows & BI reporting. • Deployed Power BI Server, Kerberos authentication config. and migrated access roles. • Standardized report docs & dashboard designs. Achievements • Migrated the internal BI report (Data Fabric, 100+ users) from Data Vault 2.0 to Kimball DWH (reducing response time from 11s to 3s). • Improved scalability (data model & ETL upgrades). • Standardized documentation & dashboard design across BI team (95% of reports, support requests cut by 20%).
- 2 Jahre und 4 Monate, Apr. 2019 - Juli 2021
Middle Data Analyst → Senior Data Analyst
UniCredit Bank
• Built and maintained Data Lake, OLAP cubes, and report automation for NPL (CIB, SMB & retail). • Ad-hoc reports, internal and HQ-led risk models support. • Collaborated with Munich HQ on NPL DQI checks and model integration. Achievements • Full-stack NPL report system (reduced reporting time from 40 to 15 hr/month). • End-to-end data architecture documentation for NPL reporting. • Secure data exchange with HQ for automated risk calculations. • HQ adoption (default source) due to 30% up in data quality.
- 4 Jahre und 11 Monate, Juni 2014 - Apr. 2019
Data Analyst
Self-employed
Project 1 – BI Reporting for Telecom & Banking (AT Consulting) • BI reports (SAP BO & Oracle BI), analysis time cut by 15–20% and 10–15%. • Power BI KPI dashboard; deployments & release doc. Project 2 – Risk Reporting Automation (VTB Bank) • Automated preparation (group risk reports). • Manual data processing reduction & consistency. Project 3 – ICAAP Reporting System (Basel II) (B&N Bank) • Data architecture & KPIs (capital adequacy reports). • BI reports (10+ metrics) + automated C-level email delivery.
Ausbildung von Rustam Syrtlanov
- 2010 - 2014
Bachelor’s Degree in Applied Mathematics and Physics
Moscow Institute of Physics and Technology
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
Russisch
Muttersprache
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