Candidates 208
$600 / mo
≈ $7200 / year net
Data Analyst
Ukraine · Kyiv · 6 months · Intermediate ·Published today
Ukraine · Kyiv · 6 months · Intermediate ·Published today
$650 / mo
≈ $7800 / year net
Junior Data Analyst
Ukraine · Kyiv · 6 months · Intermediate ·Published today
Ukraine · Kyiv · 6 months · Intermediate ·Published today
Analysis of onboarding product, conversion funnel
The individual project was focused on analyzing the onboarding funnel in the SaaS domain and additional metrics. The project was implemented in Tableau Public.
Analysis of SaaS Revenue
The individual project was focused on analyzing the Total Revenue by different software, by location and by months. A Revenue cohort analysis was built. ARPPU, MRR. The project was implemented in Tableau Public.
Onboarding funnel for Media Streaming
The individual project was focused on analyzing the onboarding funnel for Media Streaming. The project was implemented in Amplitude.
$650 / mo
≈ $7800 / year net
Data Analyst
Ukraine · Kyiv · 6 months · Intermediate ·Published today
Ukraine · Kyiv · 6 months · Intermediate ·Published today
In-depth data analysis was performed, including the calculation of medians, percentiles, and averages. VLOOKUP and HLOOKUP functions were also used to accurately search and process specific data. Used pivot tables for easy organization and display of data.
2.Visualization and calculation of data in Tableau
Used a variety of aggregate and logical functions for comprehensive data analysis and created a dashboard with filters for easy display and customization of data.
3.Calculation of data in PostgreSQL
In PostgreSQL, I utilized grouping and aggregation functions to compute key marketing campaign metrics, including CPC (Cost Per Click), CPM (Cost Per Mille/Thousand Impressions), CTR (Click-Through Rate), and ROMI (Return on Marketing Investment). By employing functions like SUM() and basic arithmetic operations, I calculated these metrics based on data from various tables. Additionally, I consolidated data from different sources using JOIN and UNION operations to bring together relevant information for analysis.
$600 / mo
≈ $7200 / year net
Web Analyst \ Data Analyst
Ukraine · Kyiv · No experience · Intermediate ·Published today
Ukraine · Kyiv · No experience · Intermediate ·Published today
Sep 2015 - Feb 2016 (6 months)
Krona-MVD\ Industry and production
• Developed accurate financial forecasts and risk assessments, aiding in strategic decision-making and ensuring financial stability.
• Conducted in-depth cost analysis and profitability assessments for key projects, resulting in improved resource allocation and project success.
• Developed and presented comprehensive financial reports to executive management, facilitating informed decision-making and strategic planning.
Waiter
Sep 2016 - Jan 2019 (2 years 5 months)
Pervak\ Restaurant
• Successful sales and customer relations.
• Increase in overall customer satisfaction.
• Increasing the average cost of the order.
Travel manager
Feb 2019 - Mar 2022 (3 years 2 months)
Poehali s nami \ Tourism
• Successfully organized and managed events and excursions, enhancing the overall travel experience for clients and receiving positive feedback;
• Maintenance of more than 50 regular customers.
• I was the sales leader among the office throughout the year.
$800 / mo
≈ $9600 / year net
Data Analyst
Ukraine · 6 months · Upper-Intermediate ·Published today
Ukraine · 6 months · Upper-Intermediate ·Published today
I am a Data Analyst, who is skilled in analyzing complex datasets and deriving useful insights. Proficient in data collection, cleaning, preprocessing, and utilizing statistical techniques. I have sufficient experience in exploratory data analysis, predictive modeling and data visualization. Effective collaborator, may work with cross-functional teams. Good at delivering data-driven solutions.
Cohort analysis
This project shows the analysis of players’ behavior and tracks key activity metrics such as Revenue, ARPPU, CR, WAU, DAU, Average DAU, Stickiness gained from iterative analysis in Google Sheets. The project measures user engagement and retention through basic statistics and data visualization in Google Sheets. You can have a look at the Behavioral Cohorts: Analyzing User/Customer Retention. The project aims to determine
and increase retention rates, determine and forecast user activity for the relevant periods based on data-driven insights.
Ad campaigns' analysis
This project aims to analyze advertising campaigns in the retail domain. It extracts and analyzes data to evaluate the performance and effectiveness of ads via SQL and Looker Studio. You can find next metrics like
impressions, clicks, spends, conversions, CTR, CPM, CPC, and ROMI, which helped to assess different advertising channels, campaign types, and target
audience segments. The project focuses on optimization, and generating visual reports to inform marketing strategies and optimizes ad performance in
the retail domain.
Tableau PET-project
Due to this project you can investigate the paid users’ quantity, CR at each stage of user interaction with the product (the funnel chart). Also you can find the average time, which users need to become paid users or trial-started users by month. It depends on which area you point to. Visual reports and the dashboard can be useful for marketers (and/or stakeholders) to effectively communicate, choose a marketing strategy, and optimize the product and advertising costs.
Tableau Pet-project (Cohort analysis)
This project consists of two dashboards. The first one represents cohort analysis of revenue from the month of the first purchase for each month, total revenue and percentage comparison to previous month, new MRR. The second one shows revenue investigation by products and locations using metrics: revenue, ARPPU, paid users’ quantity. The project aims to determine and increase sales and sales channels.
Improved my skills in data cleaning, data exploration, predictive modeling, and data visualization.
Organized the teamwork (6 subordinates) and increased Revenue of one of the company's department by 25%.
friendly company. I have strong knowledge of SQL, Tableau. Also, I have hands-on
experience in following Power BI. I am a responsible and hardworking person, fast learner, and I am very eager to demonstrate my Analytical and Technical skills.
$1000 / mo
≈ $12000 / year net
Data analyst
Ukraine · Kyiv · 1 year of experience · Intermediate ·Published yesterday
Ukraine · Kyiv · 1 year of experience · Intermediate ·Published yesterday
This project analyzes the work of a food company; applied Power Query to clean data; built data model; used DAX for formulas; filters are available, as well as all common visualizations.
Tableau project.
Tableau Superstore is the project which was created in Tableau Public and shows an analysis of the the sales company’s performance. The data were pre-processed, prepared and cleaned. Calculation fields and parameters are created here, also various visualizations and filters .
SQL project.
This project works with employees database. Using date functions, windows, aggregation functions, joins, subqueries, common table expression. Also create table in sql.
Python project.
My project involved exploring and analyzing a database, performing various data preprocessing, statistical analysis, visualization, and possibly applying machine learning models for prediction or classification tasks.
$1200 / mo
≈ $14400 / year net
Data Analyst
Ukraine · No experience · Intermediate ·Published yesterday
Ukraine · No experience · Intermediate ·Published yesterday
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 ROMI. 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 (Union, Join, CTE, Window functions).
Cohort analysis, GameDev
The project helps to analyze players' behavior and track key activity metrics. Through basic statistics and analysis, the project measures user engagement and retention. It defines cohorts based on players' activity time and 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.
Proficiently worked with SQL to query databases and verify data accuracy, use of analytical methods to evaluate and improve the gaming experience, including the analysis of gameplay metrics and user behavioral patterns.
Developing reports and visual dashboards to present analytical results and identify key trends in the data.
experience in following Power BI. I am a fast learner, responsible, and ready for challenging tasks
$700 / mo
≈ $8400 / year net
Junior Data Analyst
Ukraine · Kyiv · 6 months · Beginner/Elementary ·Published yesterday
Ukraine · Kyiv · 6 months · Beginner/Elementary ·Published yesterday
Educational project in Google Sheets.
Calculation of indicators: average age, standard deviation, median, interquartile range, percentiles.
Calculation of DAU (Daily Active Users) and WAU (Weekly Active Users) metrics.
Forecasting DAU and WAU metrics.
Chart with data from the "active users" page.
Chart with data from the "WAU" page.
Educational project in Looker Studio.
A new report has been created, and a data source has been configured (using PostgreSQL as the data source).
New fields with metrics CPC, CPM, CTR have been added to the report.
A dashboard has been created.
Educational project in Tableau.
Calculation of metrics.
Creation of diagrams and dashboards.
Mastered the basics of visualization tools, such as Looker Studio, Google Sheets, Tableau, Amplitude, Power BI.
Create informative graphs to represent the analysis results.
$500 / mo
≈ $6000 / year net
Data Analyst
Ukraine · Kyiv · No experience · Intermediate ·Published yesterday
Ukraine · Kyiv · No experience · Intermediate ·Published yesterday
$1000 / mo
≈ $12000 / year net
Data Analyst
Ukraine · Kyiv · 1 year of experience · Upper-Intermediate ·Published 26 April
Ukraine · Kyiv · 1 year of experience · Upper-Intermediate ·Published 26 April
Specializing in ABC-XYZ analysis, optimal storeroom management, and leveraging advanced Excel capabilities (VBA, Pivot Tables, Data Visualization) to drive process automation and unlock actionable insights. Proven expertise in purchasing, pricing, and sales operations within industrial distribution.
Core Competencies:
- Supply Chain Analytics & Inventory Management
- Advanced Microsoft Excel (VBA, Pivot Tables, Dashboards)
- Data Visualization and Reporting
- Procurement Planning & Strategic Sourcing
- Sales Analysis & Customer Relationship Management
- Process Automation & Continuous Improvement
Leveraging strong analytical aptitude, meticulous attention to detail, and the ability to thrive in fast-paced, demanding environments. Committed to delivering accurate and timely information to stakeholders, enabling data-backed decisions for cost optimization and operational excellence.
Adept at collaborating with cross-functional teams and adapting to dynamic business needs.
Upper-Intermediate proficiency in English
Middle knowledge in: SQL, Python (numpy, pandas, sklearn), Linux, parsing, HTML/CSS, Hadoop, math statistics, linear algebra.
I'm looking for company with friendly atmosphere where I can start my path in BigData Analysis and utlize all my previous experience. A workplace that encourages learning and growth in the field of data analytics would be an ideal fit for me.