Vladyslav

Nedostoiev
Vladyslav
DATA ANALYST

Summary
Data Analyst with 1.5+ years of experience analyzing marketing and
financial datasets using SQL, Python, and BigQuery. Experienced in
building dashboards, analyzing campaign performance, and automating
reporting workflows to support data-driven decisions. Skilled in
traffic analysis, marketing KPI monitoring, and workflow automation
using n8n and API integrations.

Skills
Programming: Python (Pandas, NumPy)

Contacts Databases: SQL, BigQuery
Data Visualization: Tableau, Looker Studio, Power BI
Name: Nedostoiev Vladyslav Analytics: Marketing Analytics, Traffic Analysis, Campaign
Phone:[відкрити контакти](див. вище в блоці «контактна інформація») Performance Analysis, Conversion & Revenue Analysis,
Address:Odessa,Ukraine Business Analytics
Email:[відкрити контакти](див. вище в блоці «контактна інформація») Data Engineering: ETL Processes, Data Pipelines, Data
LinkedIn:https://www.linkedin.com/ Automation, API Integrations
in/vladislav-nedostoiev-b35837263/
Automation & AI: n8n Workflow Automation, AI Automation

Languages Workflows, API-based Automation
Tools: Google Sheets, Excel, n8n
Ukrainian-native
English-B1 Work experience
Junior Data Analyst
Project MGID
2024 – 2025 (1 year)
Marketing Campaign Performance Analysis
Analyzed marketing campaign data using Analyzed marketing traffic performance using SQL and BigQuery
SQL and Python Worked with large-scale marketing datasets including campaign traffic,
conversions, CTR, and revenue metrics
Calculated key marketing KPIs including
Built interactive dashboards in Looker Studio and Tableau to monitor
CTR, conversion rate, and ROI
campaign performance
Built a Looker Studio dashboard to Visualized key marketing KPIs such as traffic volume, CTR, conversions,
visualize campaign performance and and revenue trends
identify high-performing traffic Identified trends and anomalies in marketing data to support campaign
sources optimization
Sales Analytics Dashboard Automated reporting workflows using SQL and Google Sheets
Developed an interactive sales Assisted marketing teams in data-driven decision making

dashboard in Looker Studio
Processed and aggregated sales data Junior Business Intelligence Analyst
using SQL and Google Sheets Deep Knowledge Group
Identified revenue trends and seasonal June 2025 - December 2025 (6 month)
sales patterns Analyzed financial and business datasets using SQL and BigQuery
Automated Data Collection Pipeline Processed large-scale datasets for financial analytics and business
(n8n) performance monitoring
Built an automated workflow using n8n Built analytical dashboards and visual reports in Looker Studio and
Tableau
for API data collection
Automated financial reporting processes using SQL and Google Sheets
Processed and structured incoming data
Identified patterns, anomalies, and insights in financial datasets
for analytics dashboards Supported internal teams with data-driven insights for strategic
Automated data updates and reduced decisions
manual reporting tasks

Education
Odesa Polytechnic National University
Cybersecurity
2025 – Present

Robot Dreams
Junior Data Analyst Program
Completed training focused on practical data analytics skills, including:
• Data analysis with Python (Pandas)
• SQL for querying and data manipulation
• Data visualization using Looker Studio
• Working with datasets and analytical problem solving

Genius Space
Google Sheets for Data Analysis
Learned advanced spreadsheet techniques including:
• Data automation and report building
• Pivot tables and data aggregation
• Advanced formulas and data processing
• Data visualization with charts and dashboards