Сервіс пошуку роботи №1 в Україні
Huseynagha
Data analyst
- Розглядає посади:
- Data analyst, Financial analyst, Data Entry Operator, Junior analyst, Database analyst, верифікатор, бізнес-аналітик
- Вік:
- 21 рік
- Місто проживання:
- Львів
- Готовий працювати:
- Дистанційно, Дніпро, Київ, Львів, Одеса, Ужгород
Контактна інформація
Шукач вказав: ТелефонЕл. поштуМесенджер
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/19827193/
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HUSEYNAGA HUSEYNOV
JUNIOR DATA ANALYST | SQL, PYTHON & BI
[відкрити контакти ](див. вище в блоці «контактна інформація») | [відкрити контакти ](див. вище в блоці «контактна інформація») | Ukraine
github.com/huseynovlnx
PROFESSIONAL SUMMARY
Junior Data Analyst with hands-on experience in PostgreSQL, Python, Advanced Excel, and Power BI, delivering data-driven insights that cut
reporting time by 40%. Skilled in ETL workflow design, data validation, and KPI dashboard development across datasets exceeding 10,000
records. Comfortable working in Linux-based environments (Ubuntu, WSL2) and containerised workflows with Docker. Proven track record
leading cross-functional teams of 8–12 and delivering technical training with a 95%+ satisfaction rate. Multilingual professional (Azerbaijani
native; Turkish, English, Ukrainian) currently based in Ukraine and open to relocation across Europe — available immediately upon offer and
work-permit sponsorship.
TECHNICAL SKILLS
Databases & SQL BI & Visualisation
PostgreSQL • Google BigQuery • pgAdmin 4 • DBeaver • Complex Power BI • DAX • Dashboard Design • KPI Visualisation •
JOINs • CTEs • Window Functions • Subqueries • Query Management Reporting • Tableau (Basic) • Excel PivotTables &
Optimisation • Data Extraction & Validation Power Query
Data Analysis & ETL Programming & Systems
Data Cleaning • Data Validation • ETL Workflows • Cohort Analysis • Python (pandas, NumPy) • Advanced Excel (VLOOKUP, XLOOKUP,
Trend Analysis • Variance Analysis • Business Intelligence • KPI INDEX-MATCH) • Git • VS Code • Linux (Ubuntu) • WSL2 • Docker
Reporting (containerised data workflows) • Windows / macOS • MS Office 365
WORK EXPERIENCE
Data Analyst & Operations Manager 2023 – 2024
Fransedu.az & Flugtravel.az — Baku, Azerbaijan
• Extracted and analysed business-critical datasets using PostgreSQL (JOINs, CTEs, subqueries, aggregations), reducing manual reporting time
by 40% through automated SQL queries
• Built and maintained Excel KPI reports with PivotTables, Power Query, and trend analysis for weekly executive reviews, enabling data-driven
strategic decisions
• Cleaned, validated, and restructured 10,000+ rows of monthly data with 99%+ accuracy, ensuring GDPR-compliant data handling and audit-
ready documentation
• Designed an end-to-end ETL reporting workflow: PostgreSQL extraction → data cleaning → Excel/Power BI visualisation → automated
management reporting
• Managed relational databases for two active companies with 1,000+ records each, performing routine backups, schema updates, and data-
integrity checks
• Led cross-functional teams of 8–12 people, delivering data-backed reports to C-level management and supporting operational efficiency
initiatives
• Maintained IT infrastructure for 15+ workstations, ensuring reliable data access, network security, and business continuity across
departments
IT Trainer — SQL & Advanced Excel 2024 – Present
Private Tutoring — Azerbaijan & Turkey (Remote)
• Delivered professional PostgreSQL/SQL training covering complex queries, JOINs, CTEs, window functions, subqueries, and practical database
exercises
• Conducted Advanced Excel training on PivotTables, VLOOKUP/XLOOKUP/INDEX-MATCH, Power Query, and business data analysis for finance
and logistics professionals
• Developed project-based curriculum using real-world datasets from finance, logistics, and HR sectors, improving students' practical
application skills
• Achieved a 95%+ student satisfaction rate through adaptive, scenario-based teaching methodology and personalised learning paths
EDUCATION
Bachelor's Degree in International Trade & Logistics 2021 – 2024
Azerbaijan State University of Economics (UNEC) — Baku, Azerbaijan
Thesis: Applied quantitative methods, statistical analysis, and Excel-based data modelling in international trade research.
Computer Engineering 2024 – 2025
Uzhhorod National University — Uzhhorod, Ukraine
Coursework in algorithms, data structures, database systems, and software engineering; continued self-study in Linux (Ubuntu/WSL2)
and Docker-based data workflows.
LANGUAGES
Azerbaijani Native Turkish B2 – Upper-Intermediate
English B1 – Professional Working Ukrainian A2 – Elementary
CERTIFICATIONS & PROFESSIONAL DEVELOPMENT
• PostgreSQL Intermediate SQL — complex queries, database design, normalisation, and hands-on projects
• Power BI Advanced Dashboards & DAX — self-study with practical business intelligence applications
• Python for Data Analysis — pandas, NumPy, and data visualisation through practical datasets
• Linux & Docker for Data Analytics — self-study covering Ubuntu, WSL2, and containerised, reproducible data workflows
• Tableau — self-study and interactive dashboard practice
• Data Privacy & GDPR Fundamentals — self-study on European data protection regulations and compliance
ADDITIONAL INFORMATION
• Relocation: fully open to relocation across Europe upon receiving a valid job offer and standard work-permit sponsorship
• Availability: immediate start, no notice period; ready to initiate the visa process promptly upon offer acceptance
• Remote experience: delivered online training and collaborated with international teams remotely
• Interests: data engineering, cloud analytics (Google BigQuery, AWS/Azure), and AI-assisted analytics workflows
• References and additional project portfolio available on GitHub upon request
JUNIOR DATA ANALYST | SQL, PYTHON & BI
[
github.com/huseynovlnx
PROFESSIONAL SUMMARY
Junior Data Analyst with hands-on experience in PostgreSQL, Python, Advanced Excel, and Power BI, delivering data-driven insights that cut
reporting time by 40%. Skilled in ETL workflow design, data validation, and KPI dashboard development across datasets exceeding 10,000
records. Comfortable working in Linux-based environments (Ubuntu, WSL2) and containerised workflows with Docker. Proven track record
leading cross-functional teams of 8–12 and delivering technical training with a 95%+ satisfaction rate. Multilingual professional (Azerbaijani
native; Turkish, English, Ukrainian) currently based in Ukraine and open to relocation across Europe — available immediately upon offer and
work-permit sponsorship.
TECHNICAL SKILLS
Databases & SQL BI & Visualisation
PostgreSQL • Google BigQuery • pgAdmin 4 • DBeaver • Complex Power BI • DAX • Dashboard Design • KPI Visualisation •
JOINs • CTEs • Window Functions • Subqueries • Query Management Reporting • Tableau (Basic) • Excel PivotTables &
Optimisation • Data Extraction & Validation Power Query
Data Analysis & ETL Programming & Systems
Data Cleaning • Data Validation • ETL Workflows • Cohort Analysis • Python (pandas, NumPy) • Advanced Excel (VLOOKUP, XLOOKUP,
Trend Analysis • Variance Analysis • Business Intelligence • KPI INDEX-MATCH) • Git • VS Code • Linux (Ubuntu) • WSL2 • Docker
Reporting (containerised data workflows) • Windows / macOS • MS Office 365
WORK EXPERIENCE
Data Analyst & Operations Manager 2023 – 2024
Fransedu.az & Flugtravel.az — Baku, Azerbaijan
• Extracted and analysed business-critical datasets using PostgreSQL (JOINs, CTEs, subqueries, aggregations), reducing manual reporting time
by 40% through automated SQL queries
• Built and maintained Excel KPI reports with PivotTables, Power Query, and trend analysis for weekly executive reviews, enabling data-driven
strategic decisions
• Cleaned, validated, and restructured 10,000+ rows of monthly data with 99%+ accuracy, ensuring GDPR-compliant data handling and audit-
ready documentation
• Designed an end-to-end ETL reporting workflow: PostgreSQL extraction → data cleaning → Excel/Power BI visualisation → automated
management reporting
• Managed relational databases for two active companies with 1,000+ records each, performing routine backups, schema updates, and data-
integrity checks
• Led cross-functional teams of 8–12 people, delivering data-backed reports to C-level management and supporting operational efficiency
initiatives
• Maintained IT infrastructure for 15+ workstations, ensuring reliable data access, network security, and business continuity across
departments
IT Trainer — SQL & Advanced Excel 2024 – Present
Private Tutoring — Azerbaijan & Turkey (Remote)
• Delivered professional PostgreSQL/SQL training covering complex queries, JOINs, CTEs, window functions, subqueries, and practical database
exercises
• Conducted Advanced Excel training on PivotTables, VLOOKUP/XLOOKUP/INDEX-MATCH, Power Query, and business data analysis for finance
and logistics professionals
• Developed project-based curriculum using real-world datasets from finance, logistics, and HR sectors, improving students' practical
application skills
• Achieved a 95%+ student satisfaction rate through adaptive, scenario-based teaching methodology and personalised learning paths
EDUCATION
Bachelor's Degree in International Trade & Logistics 2021 – 2024
Azerbaijan State University of Economics (UNEC) — Baku, Azerbaijan
Thesis: Applied quantitative methods, statistical analysis, and Excel-based data modelling in international trade research.
Computer Engineering 2024 – 2025
Uzhhorod National University — Uzhhorod, Ukraine
Coursework in algorithms, data structures, database systems, and software engineering; continued self-study in Linux (Ubuntu/WSL2)
and Docker-based data workflows.
LANGUAGES
Azerbaijani Native Turkish B2 – Upper-Intermediate
English B1 – Professional Working Ukrainian A2 – Elementary
CERTIFICATIONS & PROFESSIONAL DEVELOPMENT
• PostgreSQL Intermediate SQL — complex queries, database design, normalisation, and hands-on projects
• Power BI Advanced Dashboards & DAX — self-study with practical business intelligence applications
• Python for Data Analysis — pandas, NumPy, and data visualisation through practical datasets
• Linux & Docker for Data Analytics — self-study covering Ubuntu, WSL2, and containerised, reproducible data workflows
• Tableau — self-study and interactive dashboard practice
• Data Privacy & GDPR Fundamentals — self-study on European data protection regulations and compliance
ADDITIONAL INFORMATION
• Relocation: fully open to relocation across Europe upon receiving a valid job offer and standard work-permit sponsorship
• Availability: immediate start, no notice period; ready to initiate the visa process promptly upon offer acceptance
• Remote experience: delivered online training and collaborated with international teams remotely
• Interests: data engineering, cloud analytics (Google BigQuery, AWS/Azure), and AI-assisted analytics workflows
• References and additional project portfolio available on GitHub upon request
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