Alexander Novak

Angestellt, Data Analyst, Alfa Bank
Astana, Kasachstan

Fähigkeiten und Kenntnisse

Product Analytics
A/B Testing
SQL
Data Engineering
Python
ETL (Extract, transform, load)
Airflow
Amazon Web Services (AWS)
Google BigQuery
ClickHouse
Data Warehousing
Business Intelligence (BI)
Microsoft Power BI
Tableau
Looker (Software)
Data Visualization
Dashboards
Statistical Analysis
Experimental Design
Hypothesis Testing
Cohort Analysis
Key Performance Indicators
Funnel Optimization
Data Modeling
Process Automation
Docker
Git
PostgreSQL
Oracle Database
Vertica
Business Analysis
Revenue Analysis
Agile Methodologies
Scrum
Stakeholder Management
Problem-Solving

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

    -

    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

    -

    •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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