# Senior Product Data Analyst

Location[United States](https://jobicy.com/resume-region/united-states.md)Rate, USD Not specifiedWork schedule Full Time, Links  Language skills EnglishAvailable for Hire Yes [Hire me](#resume-dialog)

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## About me

I am a Senior Product Data Analyst with 7+ years of experience combining data science, advanced analytics, and business acumen to drive growth for e-commerce and subscription-based products.

I have worked across e-commerce, fintech, foodtech, classifieds marketplaces, and real estate, helping teams improve conversion, retention, and profitability through data-driven decision-making.

My background includes A/B testing strategy, product analytics, predictive modeling, AI/LLM integration, and building scalable analytics infrastructure from scratch.

I enjoy partnering closely with product managers and cross-functional teams to form hypotheses, validate ideas, and turn insights into measurable business impact.

In my recent roles, I have led analytics initiatives that improved test success rates, increased gross profit, accelerated experimentation cycles, and automated workflows for multiple product teams.

I am passionate about empowering teams with reliable data, building strong analytics systems, and improving customer experiences through experimentation and machine learning.

## Professional area

### [Developer & Engineer](https://jobicy.com/resume-category/dev.md)[Management & Operations](https://jobicy.com/resume-category/management.md)[Web Analyst](https://jobicy.com/resume-category/web-strategy.md)

## Skills

### [A/B Testing](https://jobicy.com/resume-skill/a-b-testing.md)[Automation](https://jobicy.com/resume-skill/automation.md)[Business Analysis](https://jobicy.com/resume-skill/business-analysis.md)[Git](https://jobicy.com/resume-skill/git.md)[Machine Learning](https://jobicy.com/resume-skill/machine-learning.md)[PostgreSQL](https://jobicy.com/resume-skill/postgresql.md)[Python](https://jobicy.com/resume-skill/python.md)[SQL](https://jobicy.com/resume-skill/sql.md)

## Education

Sep 2016 - Aug 2019  Bachelor's degree in Economics and Finance  @  University of London  Sep 2015 - Aug 2019  Bachelor's degree in Economics  @  Higher School of Economics

## Experience

Aug 2023 - Present  Senior Product Data Analyst  @  Scentbird

Leading product data analytics across e-commerce, subscription, and beauty products; improving A/B testing performance; building AI-integrated analytics infrastructure; forming and presenting data-driven hypotheses; collaborating with product managers; increasing success rate and gross profit uplift; reducing time-to-launch of A/B tests.

Sep 2022 - Jul 2023  Product Analyst  @  Avito

Formed hypotheses for a classifieds marketplace focused on real estate; researched product improvements; verified hypotheses using A/B tests; built a metrics tree; collaborated with product managers; led 15+ A/B tests and contributed to gross profit growth.

Aug 2021 - Oct 2022  Product Analyst  @  Sbermarket

Formed hypotheses and built A/B testing processes for a foodtech marketplace; researched product improvements; developed experimentation processes; built a metrics tree; communicated with product management; increased conversion rates and GMV per user; automated workflows for multiple product teams.

Apr 2020 - Jul 2021  Data Analyst  @  Tinkoff (T-Bank)

Built and optimized predictive models and credit risk scoring models for banking and fintech; improved monthly forecasts.

Jun 2019 - Mar 2020  Data Analyst  @  Key Group Startup Accelerator

Managed and grew a portfolio of IT startups across multiple industries; helped close funding rounds for 3 out of 7 projects, securing nearly $2 million in funding.

Jan 2031 - Jan 2031  Data Product Analyst / Data Engineering Consultant  @  Monetate

Developed and implemented KPI dashboards for clients; built and optimized data pipelines; defined business logic; trained a team to support the project.

Jan 2031 - Jan 2031  Senior Data Product Analyst  @  AEJuice

Built and integrated a full analytics stack across data, product, and marketing; improved data reliability; integrated advanced A/B testing processes; conducted audience and niche analysis; prepared visual reports and development strategies.

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