Оксана

OKSANA PIDVEZKO-LAPITAN
DATA ANALYST
CONTACTS
Phone: [open contact info](look above in the "contact info" section) Location: Lebedyn, Sumy region, Ukraine
Email: [open contact info](look above in the "contact info" section) Linkedin: [open contact info](look above in the "contact info" section)
Telegram pidvezko-lapitan/
SUMMARY
Junior Data Analyst with hands-on skills in SQL, Tableau, Python, and Google Sheets. Experienced in data
collection, cleaning, and visualisation to support business insights and decision-making. Detail-oriented,
analytical, and eager to apply problem-solving skills in real-world projects while continuously developing
expertise in data analytics.
HARD SKILLS
Data Cleaning &Preparations, Validation
Metrics definition and calculation(convertion, ARPU, LTV,retention,churn)
Use of filters and parameters Formatting and highlighting
Data Visualization & Statistic Data Transformation &Storytelling
TOOLS
Tableau, Python, Google Sheet, Pandas, SQL,
BigQuery, Looker Studio
SOFT SKILLS
Communication Time managment
Teamwork Creativity

PROJECT EXPERIENCE
Onboarding Funnel & Revenue Analysis. Global Revenue Growth Analysis.
Tools: Amplitude Tools: Tableau, PostgreSQL
Description: Optimized the user onboarding process Description: Analyzed monthly recurring
and improved revenue predictability by analyzing revenue(MRR) across regions (APAC, EMEA, USA)
customer behavior and identifying key drop-off points. to detect growth trends and differences.
My tasks: My tasks:
Built cohort analysis to track user engagement Collecting and cleaning raw data for accuracy and
trends. consistency.
Measure conversion rates and define the key Built professional-level Tableau dashboards with
funnel. dynamic filters and SPEC parameters.
Result: This was made possible by identifying the Result: Detected a 40% peak increase in MRR
most effective onboarding steps, which cut the average during key periods, enabling targeted marketing
onboarding time by 20% ( from 10 to 8 minutes). strategies.
Ecommerce funnel.
Tools: Tableau, PostgreSQL
Description: Analyzed the e-commerce funnel, identifying user drop-offs and opportunities to improve purchase
flow.
My tasks: Calculated and monitored conversion metrics, identifying key bottlenecks in the purchase funnel.
Result: Identified key user drop-off points in the funnel and optimization opportunities, imporoving conver
LANGUAGES
English elementary. Ukrainian native.

WORK EXPERIENCE
Leading veterinary doctor | March 2023- 2026
Sumy Regional State Laboratory of the State Food and Consumer Service
Regulary adhered to deadlines, enhancing team reliability and quality ofresults.
Developed communication and patience skils, successfully handling interactions with diverse
personalities.
Collaborated with junior and senior designers to develop system specifications and documentation.
EDUCATION
“IT School GoIT” 2025 Sumy National Agrarian University 2009-2010
Data Analyst Master of Veterinary Medicine