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Data analyst

Розглядає посади:
Data analyst, Web analyst, Marketing analyst, Junior product analyst
Вік:
43 роки
Місто проживання:
Одеса
Готовий працювати:
Дистанційно, Інші країни

Контактна інформація

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Data analyst | Data engineer
Besarab Nataliia

[відкрити контакти](див. вище в блоці «контактна інформація»)| WhatsApp| [відкрити контакти](див. вище в блоці «контактна інформація») | LinkedIn | Telegram |

Turkey, Full Remote

SUMMARY

Data Analyst with 3+ years of experience in product and business analytics, specializing in end-to-end data
analysis, KPI development, and interactive dashboard design. Experienced in transforming raw data into
actionable insights using SQL, BigQuery, Azure, Power BI, Tableau, and Google Sheets. Strong background
in data modeling and process optimization, enabling faster reporting and improved decision-making.
Continuously expanding expertise in analytics engineering and data infrastructure to contribute to scalable,
data-driven solutions.

Data Analysis: SQL, PostgreSQL, Microsoft SQL Server, Data Cleaning, Data Transformation, Exploratory
Data Analysis (EDA)

Data Visualization: Power BI, Tableau, Looker Studio, Dashboard Design, Data Storytelling

Data Tools: BigQuery, Microsoft Azure, Excel, Google Sheets, Power Query, Pandas, NumPy, Google
Analytics

Analytics & BI: KPI Monitoring, Product Metrics, A/B Testing, Statistics (basic), Data Modeling (Fact &
Dimension Tables)

Programming: Python, HTML, CSS

Workflow & Collaboration: Git, GitHub, Draw.io, ClickUp, Trello

Web & CMS (additional): WordPress, WooCommerce, Elementor, SEO

EXPERIENCE

Data Analyst / Data Engineer

Dakota Programming (Startup)
March 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
● Designed and automated end-to-end data pipelines ingesting XML, databases, and tracking systems
into structured analytical layers, reducing data availability time from 1–2 weeks to 1 day (8–10x
acceleration).
● Normalized complex nested XML structures into relational schemas and built aggregated analytical
views for BI reporting.
● Optimized SQL queries (rewrote nested subqueries into JOIN + GROUP BY structures), reducing
report execution time from 5–10 minutes to seconds.
● Led data quality initiatives (duplicate removal, invalid date standardization), improving reporting
accuracy from ~80% to ~99%.
● Automated data validation and preprocessing using Python (Pandas), reducing manual preparation
time by 80–90% and lowering reporting errors by up to 50%.

● Developed self-service dashboards in Power BI and Tableau with segmentation and drill-down
capabilities for product, marketing, and operations teams.
● Built portfolio projects replicating real-world business cases (retention, revenue modeling, cohort
analysis) using SQL and Python, published on GitHub. Github portfolio
● Conducted independent analytical research on Kaggle datasets, transforming raw data into business
insights with reproducible workflows. Kaggle account

Freelance, commercial experience

WordPress SDE & Front-End Development Experience
August 2020 - March 2022

● Designed and implemented a WooCommerce-based e-commerce platform
(https://shtorka.store) with complete product catalog, payment system integration, and
SEO-optimized structure.
As a result, the business achieved a 15% increase in customers and expanded sales
geographically by enabling online orders from other cities.

● Built and customized content-driven websites: https://razvivaй-ka.online and
https://moy-podarok.com.Configured themes, plugins, SEO basics.

● Worked with HTML and CSS to customize layouts and create static pages from scratch.
Site example on HTML and CSS


EDUCATION

2025 IT School GOIT - Data Analytics

2008 - 2012 Odessa National Maritime Academy(ONMA), Odessa,Ukraine
- Faculty of Navigation, Bachelor degree

LANGUAGES

English: Intermediate Turkish: Conversational

German:Beginner Ukrainian: Native

SOFT SKILLS

● Analytical thinking and problem solving

● Strong attention to detail and data accuracy

● Ability to manage multiple analytical tasks simultaneously

● Continuous learning mindset and curiosity

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