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Diana Toshtemirova

@dianatoshtemirova

Product Analyst driving subscription and e-commerce revenue through funnel analysis and experimentation.

Germany
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What I'm looking for

I’m looking for a product analytics role where I can own funnel and experimentation programs, turn data into revenue impact, and collaborate cross-functionally—using modern tools to ship, measure, and iterate continuously.

I’m a Product Analyst with 4 years of experience in subscription monetization and e-commerce across iTV and Uzum. I focus on measurable revenue impact across the purchase funnel, from hypothesis to experiment design, measurement, and post-launch iteration.

At Uzum, I owned checkout payment analytics and used ClickHouse funnel segmentation and session replay to fix drop-offs. I simplified the payment form and reordered payment methods by reliability, lifting checkout-to-payment conversion from 79% to 86%, while improving payment success rate from 88% to 91% and reducing failed payment rate from 7.5% to 6.2%.

I also lead experimentation and monitoring end-to-end—building real-time checkout health dashboards in Grafana, running structured A/B tests with Bonferroni correction, and producing pre-launch impact estimation to greenlight engineering investment. Earlier at iTV.uz, I used Amplitude funnel analysis and churn-risk segmentation to grow trial-to-paid conversion from 27% to 36% and reduce monthly churn from 18% to 14%.

Experience

Work history, roles, and key accomplishments

UZ

Product Analyst

Uzum

Feb 2024 - Mar 2026 (2 years 1 month)

Identified and fixed checkout payment drop-off by using ClickHouse funnel segmentation and session replay to simplify the payment form, increasing checkout-to-payment conversion from 79% to 86%. Improved payment success rate from 88% to 91% by reordering methods by provider reliability and reduced failed payments from 7.5% to 6.2% via failure-code classification and parallel UX/engineering fixes.

IT

Product Analyst

ITV.uz

Jan 2022 - Dec 2023 (1 year 11 months)

Improved subscription monetization by diagnosing paywall messaging confusion with Amplitude funnel/cohort analysis and session replay, increasing trial-to-paid conversion from 27% to 36%. Reduced churn from 18% to 14% by building churn-risk segmentation and running targeted re-engagement, and increased renewal rate from 82% to 86% by redesigning auto-renewal retry logic based on PostgreSQL failure

Education

Degrees, certifications, and relevant coursework

Webster University logoWU

Webster University

Master of Science, Data Analytics

2024 - 2026

Pursuing an MS in Data Analytics at Webster University (Tashkent) from August 2024 to May 2026.

WU

Webster University

Bachelor of Science, Computer Science

2020 - 2024

Earned a BS in Computer Science at Webster University (Tashkent) from August 2020 to May 2024.

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