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Konstantin ShatalovKS
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Konstantin Shatalov

@0002961

Product Analyst: data-driven product growth. KPI frameworks, BI dashboards, A/B tests. Full-cycle analytics: ETL, visualization, business storytelling

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 am a Product Analyst with a passion for turning raw data into business impact. My career sits at the intersection of product analytics, data engineering, and business strategy. I thrive on understanding how products work, why users behave the way they do, and what levers drive sustainable growth.

I began as a Junior Business Analyst in FMCG, where I learned to bridge the gap between business operations and data. I built pricing models, optimized product assortments, and conducted full-cycle business process audits. This taught me that great analytics starts with understanding the business context — not just the data.

I then took on a Data Analyst project for a large agricultural enterprise, where I built an end-to-end analytics platform from scratch. I designed ETL pipelines using Apache Airflow, set up a PostgreSQL data warehouse, built dashboards in Apache Superset, and containerized everything with Docker. This gave me deep hands-on experience in the full data lifecycle.

At Moscow Exchange (MOEX), I worked as a Product Analyst for 1.5 years. I managed the full lifecycle of data products — from market research and business case creation to launch and post-release performance monitoring. I built executive dashboards, defined KPIs and OKRs, developed unit-economics and P&L models for 5+ new products, and ran A/B tests to optimize user experience. I also mentored 2 junior analysts and collaborated cross-functionally with engineering, marketing, and front-office teams.

My Technical Toolkit

  • Languages: SQL (PostgreSQL, Oracle, Snowflake), Python (Pandas, NumPy)

  • Business Intelligence: Power BI, Apache Superset, Tableau, Fine BI, Executive Dashboards, KPI Frameworks

  • Data Engineering & Workflow: Apache Airflow, ETL Design, Data Modeling, Docker, Git

  • Product Analytics: A/B Testing, Cohort Analysis, Funnel Optimization, Unit-Economics, P&L, OKRs, Product Roadmapping

  • AI tools: : Copilot, Claude, DeepSeek, Prompt Engineering

  • Methodologies: Agile/Scrum, Jira, Confluence, Product Roadmapping

Experience

Work history, roles, and key accomplishments

AS
Current

Data Analyst

Alexandrovskoye Named After N. I. Shatalov

Jul 2023 - Present (3 years 1 month)

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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