Особисті дані приховані

OLEKSII PRYSHCHEPA
PRODUCT ANALYST

Gmail: [відкрити контакти](див. вище в блоці «контактна інформація»)
Phone: [відкрити контакти](див. вище в блоці «контактна інформація»)
Telegram: @o7281p

PROFESSIONAL SUMMARY
Product Analyst, 3+ years. I make analytics fast and reporting trustworthy. I've optimized large-scale
SQL queries that were breaking under data volume, designed ETL/ELT pipelines that run reliably
without manual intervention, and built the executive reporting layer leadership uses to make calls —
replacing gut feel with numbers people trust. Beyond reporting, I own the experimentation side:
designing A/B tests, defining success metrics, sizing samples, and reading results. I work closely with
product and design on feature scoping, translating vague ideas into measurable hypotheses, and I run
funnel, cohort, and retention analysis to find where users actually drop off.

PROFESSIONAL EXPERIENCE
Product Analyst
Kyivstar TV
Oct 2024 – Jul 2026 · 1 yr 9 mos
Optimized the core SQL query powering the management dashboard, cutting execution time from
12s to 350ms by restructuring joins, adding targeted indexes and pre-aggregating hot paths —
turning a report leadership avoided opening into one they used daily.
Built and maintained ETL/ELT pipelines feeding the analytics layer, replacing manual data pulls
with scheduled, monitored jobs and eliminating recurring discrepancies in reporting.
Designed and analyzed A/B tests for product features — defining success metrics and guardrails,
sizing samples, and reporting results.
Participated in the design of a new feature from concept to launch, translating product ideas into
concrete requirements and edge cases alongside PMs and designers.
Product Analyst
NDA Company
Mar 2023 – Sep 2024 · 1 yr 6 mos
Wrote and maintained complex SQL queries supporting daily product and business questions —
from ad-hoc investigations to recurring reporting across several teams.
Built a Telegram bot delivering scheduled reports and key metrics straight to stakeholders,
removing routine requests to the analytics team.
Developed a data quality monitoring system tracking table freshness, row-count anomalies and
cross-source consistency, catching broken pipelines before they hit reports.
Analyzed user behavior across the funnel — segmentation, retention, drop-off points — turning
findings into input for feature prioritization.

EDUCATION LANGUAGES
Bachelor of Applied Math English: C1
Kyiv Polytechnic Institute Ukrainian: Native