Наталiя

Data analyst | Data engineer
Basarab Nataliia

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Full Remote SUMMARY

Data Analyst with over 3 years of experience in product and business analytics. Proficient in
end-to-end data analysis, KPI tracking, and building dashboards to support data-driven decision making.
Experienced in working with SQL, BigQuery, Azure, Power BI, Tableau and Google Sheets to transform raw
data into actionable insights. Seeking to further develop analytical and data engineering skills by
contributing to impactful projects in a data-driven organization. English – Intermediate.
Proven expertise in:
• SQL • PostgreSQL • MSSQL • Azure • BigQuery
• Python • Pandas,NumPy • Power BI • Tableau • Looker Studio
• Google Sheets • A/B testing • Draw.io • ClickUp • Trello

EXPERIENCE

Data Analyst / Data Engineer

Dakota Programming (Startup)​
2022 – May 2025

Data professional with experience across data engineering, analytics, and BI, supporting business, product,
and operations teams with reliable, scalable, and decision-ready data.

Key Responsibilities & Achievements

●​ Built and maintained data pipelines to ingest, validate, and transform data from XML, databases, and
tracking systems into structured analytical tables, reducing data availability time from 1–2 weeks to 1
day.​

●​ Designed SQL-based data models to support funnels, cohorts, revenue, no-show rates, doctor
utilization, CAC, and ROMI, enabling product and business performance tracking.​

●​ Led data quality and cleansing initiatives, fixing duplicates, invalid values, and broken records,
significantly improving reporting accuracy and stakeholder trust.​

●​ Developed dashboards and reports in Power BI, Tableau, and Google Sheets for product, marketing,
and operations, allowing self-service analytics through filters, segmentation, and drill-downs.​

●​ Analyzed customer and operational behavior, identifying bottlenecks and inefficiencies (e.g.,
no-show patterns by doctor and weekday), enabling targeted optimization strategies.​

●​ Automated data preparation and validation using Python (Pandas) to reduce manual work and
ensure consistency across BI and reporting layers.​
​

EDUCATION

●​ Odessa National Maritime Academy(ONMA), Odessa,Ukraine Faculty of Navigation (2012)
●​ IT School GOIT - Data Analytics (2025)