Candidates 327
$600 / mo
≈ $7200 / year net
Analyst
Ukraine · Kyiv · No experience · Pre-Intermediate ·Published today
Ukraine · Kyiv · No experience · Pre-Intermediate ·Published today
Назва університету: Національний університет харчових технологій
2019 - 2023
Освіта: Магістр аналітики даних
Назва університету: Національний університет харчових технологій
2023
Excel, SQL,
MS SQL Server: Досвід роботи з MS SQL Server, включаючи створення та управління базами даних.
Power BI: Активне вивчення та застосування в рамках освітнього процесу для візуалізації та аналізу даних.
Програмування:
C#: Досвід роботи з Windows Form(3місяці навчався - не офіційно).
Комунікативні навички: Здатність чітко та ефективно спілкуватися з колегами та клієнтами.
$800 / mo
≈ $9600 / year net
Junior Data Analyst/ Data Analyst
Ukraine · K · No experience · Intermediate ·Published today
Ukraine · K · No experience · Intermediate ·Published today
Project Description:
The project helps to analyze players' behavior and track key activity metrics.
Through basic statistics and analysis, the project measures users engagement and retention. It defines cohorts based on players' activity time, tracks retention, and engagement metrics. The project aims to optimize
game design, acquisition, and monetization based on data-driven insights gained from iterative analysis in Google Sheets.
Unit Economics + Product metrics in SaaS
Project Description:
As a Data Analyst, I extract and analyze data to evaluate key metrics such as MRR, ARPPU, lifetime value (LTV), and churn rate. The project utilizes segmentation techniques and cohort analysis to identify patterns in user behavior across different customer cohorts, pricing plans, and subscription tiers. Visual reports and dashboards are created to effectively communicate
findings and support data-driven decision-making. The project aims to improve business strategies, enhance product performance, and drive growth in the SaaS industry.
Ads analysis, Retail
Project Description:
The project focuses on analyzing advertising campaigns in the retail domain. Leveraging SQL and Google Looker Studio, this project extracts and analyzes data to evaluate the performance and effectiveness of ads. It includes metrics like impressions, clicks, conversions, CTR, CPM, and ROAS. Segmentation techniques are applied to assess different advertising channels, campaign types, and target audience segments. The project emphasizes data integrity, optimization, and generating visual reports to inform marketing strategies and optimize ad performance in the retail domain.
$600 / mo
≈ $7200 / year net
Data Analyst
Portugal · 6 months · Upper-Intermediate ·Published today
Portugal · 6 months · Upper-Intermediate ·Published today
Finhike:
Conducted data analysis on diverse datasets
Generated and tested behavioral, fraudulent, and analytical hypotheses to enhance financial data understanding
Drew conclusions from analytics using data analysis and visualization tools
Maintained comprehensive documentation of analytical processes and findings
$600 / mo
≈ $7200 / year net
Trainee/Junior Data Analyst, Trainee/Junior Data Engineer
Ukraine · Kyiv · 6 months · Upper-Intermediate ·Published today
Ukraine · Kyiv · 6 months · Upper-Intermediate ·Published today
I have already done several small projects there using T-SQL, SSIS and Python. I created databases, generated data and compose of requests to create/change/retrieve data. And during my studying at university I have done several simple data analytics projects on convergence Ukraine and European Union, Eurasian Economic Union, cluster, correlation and regression analysis of the regions of Ukraine, quantitative assessment of the potential of cluster formation in Ukrainian regions, primarily I used Excel, Tableau, SPSS and Statistica.
Additionally I am studying on EPAM Data Analytics Engineering Program and have already completed quite a few specialist educational programmes such as:
1. EPAM Data Analytics Engineering Basics Program.
2. Professional Certificate "Google Data Analytics" by Google
3. SQL courses(DataCamp).
4. Specialization "Python for Everybody" by University of Michigan
5. Specialization "Python 3 Programming" by University of Michigan
6. Specialization "Excel Skills for Business" by Macquarie University
7. Specialization "Microsoft 365 Fundamentals" by Microsoft
8. A half of specialization "Data Science" by IBM
9. Course "Introduction to Data Science in Python" by University of Michigan
10. Course "Data Analysis Using Python" by University of Pennsylvania
11. Course "Technology Entrepreneurship: Lab to Market" by Harvard University
12. Course "Development of an innovative product" by MIPT
13. Specialization "Financial instruments for a private investor" by HSE University
14. Professional Certificate " Customer Experience" by MAMI
Also I completed 60+ DB problems on Leetcode.
$600 / mo
≈ $7200 / year net
Junior Data Analyst
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published today
$300 / mo
≈ $3600 / year net
Data Analyst
Ukraine · Lviv · No experience · Intermediate ·Published today
Ukraine · Lviv · No experience · Intermediate ·Published today
2) Data Analyst/Python Developer Internship in Kormotech
3) Father's agriculture production where I hepled him with all processes (optimization, keeping records of spare parts etc.)
$600 / mo
≈ $7200 / year net
Junior Data Analyst
Ukraine · Kyiv · 6 months · Intermediate ·Published today
Ukraine · Kyiv · 6 months · Intermediate ·Published today
Product metrics in SaaS
As a Data Analyst, I analyze data to evaluate key metrics such as MRR, ARPPU and churn rate. The project utilizes cohort analysis to identify patterns in user behaviors. Visual reports and dashboards are created to effectively communicate findings and support data-driven decision-making. The project aims to improve business strategies, enhance product performance.
Ads analysis, Retail
Leveraging Looker Studio, this project analyzes data to evaluate the performance and effectiveness of campaigns in the retail domain. It includes metrics like impressions, clicks, CTR, CPM, and ROMI. The project emphasizes generating visual reports to inform marketing strategies and optimize ad performance in the retail
I am a fast learner, responsible, persistent and organized.
It is important for me to be able to grow professionally in my workplace and master new technologies, to be surrounded by like-minded professionals who strive for development.
$600 / mo
≈ $7200 / year net
Аналітик
Ukraine · Kyiv · No experience · Pre-Intermediate ·Published today
Ukraine · Kyiv · No experience · Pre-Intermediate ·Published today
$600 / mo
≈ $7200 / year net
junior data analyst
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published today
My research became the basis for a regulatory document (DSTU)
Also, have experience in presentations and speaking at conferences
I want to develop my data analyst skills and become a part of great projects
• CS50 - Harvard
• Applied Data Science with Python Specialization by University of Michigan on Coursera.
• Data science fundaments – Data root labs
• Genesis Analytics Certificate
• BI Analyst Course – 365 Careers
• Data Visualization with Tableau Specialization by University of California, Davis on Coursera
Multiple participant and winner of the Olympiad in mathematics
$700 / mo
≈ $8400 / year net
Junior Data Analyst/ Data Analyst
Ukraine · Kyiv · No experience · Beginner/Elementary ·Published today
Ukraine · Kyiv · No experience · Beginner/Elementary ·Published today
1. Project: Analysis of User Activity in a Mobile Game.
Project Description: Conducting an analysis of user activity in a mobile game.
Technologies Used: Tableau.
My responsibilities included calculating metrics and visualizing the results.
2. Project: Website Traffic Analysis for Conversion Improvement.
Project Description: Conducting an analysis of website traffic and researching Google Analytics data using SQL.
Technologies Used: Google Analytics, SQL, Google BigQuery.
My responsibilities included formulating SQL queries for data processing and cleaning.
Successfully analyzed and validated CSV and JSON data formats to ensure data accuracy.
Effectively utilized Python for data processing, aggregation, and visualization.
I have knowledge and practical experience with SQL, Tableau, Google Sheets, and Python.