Anastasia Bogacheva
Anastasia Bogacheva

Data Analyst / Analytics Engineer

Actively looking · Member since 20 Jul 2026
Message
Location
Israel
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Mid

About

Professional summary

I am a data analyst and analytics engineer with 6+ years of experience turning complex operational and financial data into actionable insights.

My background is centered on fraud, risk, compliance, and payment-operations analytics, where I have supported decision-making through reporting, investigations, and data modeling.

I work confidently with SQL, Python, BigQuery, Power BI, and related analytics tooling to build reliable datasets, dashboards, and analytical workflows.

In my recent roles, I have designed source-of-truth data marts, improved SLA logic, and led root-cause investigations across KYC, AML, fraud, and operational bottlenecks.

I also have strong experience in data engineering practices, including ETL/ELT pipelines, Airflow orchestration, dbt modeling, data validation, and performance optimization.

I am based in Israel, available immediately, and open to opportunities in analytics, data engineering, and compliance-focused data roles.

Notice period: Immediately

Skills

30 capabilities

Tech stack & tools

Working toolkit

Experience

Career history

Compliance Data Analyst Payoneer

Designed and delivered enterprise Power BI reporting for compliance operations leadership. Built analytical datasets and data marts in Google BigQuery, integrated CRM, payments, and compliance systems, and engineered SQL transformations for operational analytics, SLA measurement, and payment investigations. Rebuilt legacy SLA logic, led investigations across KYC, AML, fraud, and payment operations, and established governed metric definitions across teams.

Data Analyst / Data Engineer VTB

Migrated a legacy data-engineering codebase from Windows to Linux and improved pipeline performance and scalability. Built and maintained production ETL/ELT pipelines in Python and SQL, authored Airflow DAGs, and designed modular dbt data models. Engineered large-scale workflows with Apache Spark, PySpark, and PostgreSQL, and built dashboards for capacity management in Power BI and Superset.

Education

Learning history

Plekhanov Russian University of Economics

Master's Degree, Marketing

Master's degree in Marketing.

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