Олена

DIDULA OLENA
Junior Data Analyst

Aspiring Data Analyst with background in accounting. Experienced in the
humanitarian sector (aid distribution), where I was responsible for data
collection, conducting surveys, and beneficiary records management.
Proficient in inventory accounting, financial reporting, and documentation
management. My technical stack includes Excel, DBeaver, SQL, Power BI,
Looker Studio, Google Sheets, Tableau, and Python. I am passionate about
building dashboards and transforming raw data into actionable business
insights.

PROJECT EXPERIENCE
Academic Performance & Time Intelligence Dashboard
Tools: Power BI, DAX, Data Modeling
CONTACTS Description: Developed an end-to-end analytical solution for tracking and
[open contact info](look above in the "contact info" section) evaluating academic performance based on over 1,100 records.
[open contact info](look above in the "contact info" section) My Tasks:
Telegram: @Olena108 Designed interactive dashboards to visualize average grades across
LinkedIn: subjects, classes, and time periods.
[open contact info](look above in the "contact info" section) Implemented advanced Time Intelligence DAX measures to calculate Month-
559907412/ over-Month (MoM) and Year-to-Date (YTD) metrics.
Odesa, Ukraine Conducted root-cause analysis on negative grade distribution to identify
learning gaps by assignment type.
TECHNICAL TOOLS Result:
• Data Analysis & Databases: SQL Successfully created a high-level performance overview providing
(PostgreSQL, MySQL, MS SQL, stakeholders with instant access to academic KPIs (9.16 average grade).
BigQuery), Python, DBeaver, Data Enabled data-driven decision-making through automated reporting, replacing
Cleaning & Validation, Statistics. manual data aggregation.
• BI & Data Visualization: Tableau, Visualized performance volatility, allowing for timely identification of negative
Power BI, Looker, Business Dashboards trends in specific academic segments
development, Data Storytelling.
• Office & Analysis Tools: MS Excel Retention Rate Analysis
(Pivot Tables, Complex Formulas, Tools: SQL, Google Sheets
Power Query), Google Sheets. Description: User Retention Rate evaluation using Google Sheets and SQL
• Business Analytics: Key Performance methods based on cohort analysis.
Indicators (KPIs), A/B Testing, Business Tasks: Performed data cleaning and transformation; prepared complex
Metrics (Conversion, ARPU, LTV, datasets for cohort analysis; calculated user retention rates and identified
Retention, Churn). churn points.
Result: Successfully calculated time-to-churn and visualized key retention
SOFT SKILLS metrics, enabling the identification of critical churn drivers and optimization of
• Accuracy, retention strategies.
• goal-oriented,
WORK EXPERIENCE
• responsible,
Humanitarian Aid Coordinator (Volunteer) | May 2022 – July 2023
• detail-oriented,
Implemented a structured data validation system, which improved database
• problem-solving, accuracy.
• effective communication, Optimized document workflows, reducing information retrieval time by 30%.
• results presentation. Developed and conducted surveys; managed beneficiary records and
generated periodic reports.
LANGUAGES Ensured the integrity and updates of internal databases.
• Ukrainian: Native
• Russian: Native JSC Ukrposhta, Odesa Directorate
• English: Elementary Accountant (1st Category) | Nov 2008 – Dec 2013
• Romanian: Elementary Analyzed and reconciled large volumes of financial data with high precision.
Managed accurate accounting, consolidation, and analysis of inventory
EDUCATION movement.
• GoIT: Data Analyst | Feb 2026 – Aug Conducted regular audits and reconciled warehouse balances with
2026 accounting records, successfully identifying and resolving reporting
discrepancies.
• O.S. Popov Odesa National Academy
Advanced usage of MS Excel for data processing, calculations, and analytical
of Telecommunications: Bachelor’s
registers.
Degree in Enterprise Economics | 2010
– 2013
• Automobile and Road College, ONPU:
Junior Specialist in Accounting | 2004 –
2007