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Konstantin ShatalovKS
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Konstantin Shatalov

@0002961

Data Analyst | SQL & Python & Power BI | FinTech

Russian Federation
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What I'm looking for

I want to own analytics that directly improves product and business results—building BI dashboards, designing metrics, and running experiments to optimize funnels and unit economics. I value cross-functional collaboration, strong data quality, and measurable impact.

I’m a Product & Data Analyst with 3.1+ years of experience across fintech (Moscow Exchange) and large-scale FMCG. I design financial products from scratch, build performance metrics and BI dashboards, and optimize business processes and conversion funnels. I work closely with product, engineering, marketing, and C-level stakeholders to turn insights into measurable outcomes.

In my roles, I built and implemented a comprehensive BI dashboard system for management and commercial teams from scratch, reducing reporting preparation time by 80% while improving quality. I also developed new data products that gained market traction and designed client request validation algorithms that reduced errors and manual verification time. I’m especially focused on hypothesis testing and cost/unit-economics analysis to support smarter product decisions.

I’ve supported end-to-end analytical product delivery, including business case development and economic modeling for new products, and market needs analysis to develop and launch offerings. I contributed to testing and acceptance of front-office system and user portal enhancements, and I participated in concept development and technical requirements for client-facing and internal systems. I’ve also worked with unit economics, P&L, strategy, and OKRs, alongside A/B testing and budget-related analytics.

Currently, I’m building automated business intelligence capabilities by creating ETL pipelines for collecting and processing data from CSV files using Apache Airflow. I configured an analytical database on PostgreSQL, developed interactive dashboards in Apache Superset, and packaged Airflow, Superset, and PostgreSQL into Docker containers for easy reproducibility, using a single Docker network to coordinate services.

Experience

Work history, roles, and key accomplishments

AS
Current

Data Analyst

Alexandrovskoye Named After N. I. Shatalov

Jul 2023 - Present (3 years)

Developed and implemented an automated business intelligence platform, including ETL pipelines and interactive dashboards. Packaged services into Docker containers and configured the analytical database for reproducible deployment.

RU

Commercial Analyst

Rusagro

May 2024 - Sep 2024 (4 months)

Developed and optimized BI reporting for business stakeholders.

WO

Junior Business Analyst

Wolkonsky

Jul 2023 - Dec 2023 (5 months)

Performed product performance management, including plan-vs-actual sales analysis and competitive landscape analysis. Built systems for key product metrics, supported pricing framework and assortment optimization, and owned requirements for internal systems.

Education

Degrees, certifications, and relevant coursework

Plekhanov Russian University of Economics logoPE

Plekhanov Russian University of Economics

Master of Business Analyst, FinTech, exchange

2022 - 2024

Completed advanced studies focused on fintech and exchange topics, building business cases and economic models for new products. Developed product dashboards and metrics, analyzed market needs, and contributed to concept development and technical requirements.

Plekhanov Russian University of Economics logoPE

Plekhanov Russian University of Economics

Bachelor of Economics, Economics

2018 - 2022

Studied economics at Plekhanov Russian University of Economics, including unit economics, P&L, strategy, and OKRs. Coordinated junior specialists and supported management of an analytical product roadmap.

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