
Alexander Novak
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Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Alexander Novak
- Bis heute 1 Jahr und 4 Monate, seit Okt. 2024
Data Analyst
Alfa Bank
Achievements: • Grew metrics up to 40% via A/B tests, funnel opt., automated reporting; est. €12M profit by end-2025. • Increased activation 30% in 3 months: KPIs, tracking fixes, structured experiments. • Cut incentive abuse 7%→<1%, saving €250k/year, via compliance tracking standardization and behaviour analysis. • Cut time-to-insight days→hours with dashboards (Superset/Power BI): acquisition→activation→revenue. • Built onboarding analytics base: metric tree, North Star, dashboards, tracking specs, ETL.
- 2 Jahre und 9 Monate, Feb. 2022 - Okt. 2024
Data Analyst
Ad Platform
Achievements: • Launched the Advertising Platform, which became the company’s second-largest revenue stream worldwide. • Built the analytics infrastructure from scratch, including automation of quarterly C-level reporting, which strengthened data-driven decision-making across multiple management levels. • Automated moderation with a Python bot, reducing manual effort by 35% and moderation time by 50%. • Delivered insights for pricing, product, and competitive analysis, expanding features and market reach.
- 2023 - 2023
Project 1 - Development of Community Board Bot
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Mini Apps Contest, 2nd place among 200 apps. - Defined key product metrics and implemented event logging to capture user funnels, actions, and drop-offs. - Built backend infrastructure (Docker on AWS EC2, RDS for structured data, S3 for media) with CloudWatch monitoring for performance and error tracking. Tech Stack: SQL (PostgreSQL), Python (pandas), AWS (RDS, CloudWatch, S3, EC2), Docker
- 2022 - 2022
Project 2 – Building reporting for a Job-matching Startup
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•Designed analytics schema and curated KPI datasets (activation, retention, conversion). •Built data pipeline (AWS RDS → S3 via Lambda, ETL with Glue) for scalable historical analysis. •Restored end-to-end funnels by fixing tracking and mapping customer journeys, revealing key friction points. •Built SQL + Power BI reports for SME behaviour, cutting manual reporting 40% and boosting retention by 15%. •Developed Python-based customer segmentation using behavioral and financial patterns to improve targeting.
Ausbildung von Alexander Novak
- 3 Jahre und 11 Monate, Sep. 2020 - Juli 2024
Business Informatics
Plekhanov Russian University of Economics
With honors
Sprachen
Englisch
Fließend
Deutsch
Gut
Russisch
Muttersprache
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