Candidates 456
$2100 / mo
≈ $25200 / year net
Data Analyst
Ukraine · Kyiv · 1.5 years of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 1.5 years of experience · Upper-Intermediate ·Published today
- Forecasting sales of future drugs in Power BI and Excel based on:
a) analysis of competitive sales groups in Ukraine and the world
b) workload of target doctors
c) dynamics of target diseases
d) data on promotions in competitive groups and their correlation with sales
- Creating and filling in financial models for analyzing the return on investment of projects, taking into account all related operating and one-time costs and sales forecasts
- Maintaining monthly and weekly reports based on data from CRM, 1C, and sales data. Uploading data from data providers' servers using MySQL
- Online traffic analytics with Google Analytics on company websites (general and niche ones)
- Evaluation of the investment attractiveness of B2B offers from competing organizations that offered already marketed drugs at a piece rate.
- Creation of reports for different departments in Power BI Service with further customization of accesses for all interested parties, creation of mobile reports and dashboards
- Providing all possible assistance with UI/UX of websites, testing their functionality and making recommendations for their improvement by means of comments and references in Figma.
Before that I have worked as a Data Analyst for FMSG companies, such as ASKANIA Group and Dobrodia. I have done all the thing that i discribed above, but with a lot of trade marketing analysis
$5000 / mo
≈ $60000 / year net
Python Developer
Ukraine · Kyiv · 7 years of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 7 years of experience · Upper-Intermediate ·Published today
4 years of Java development experience, including 2 years of work on a Python project in parallel. As a Python developer, I was working on the app for creating designs and rendering artefacts for shipping documents. Here I created a half of the app's backend, including design to XSL transformation tool and integration with external services for getting and storing artefacts (stack: Python/Flask, Angular 9, DynamoDB, Docker).
January 2022 - July 2023
Worked in a team of 10 on creating the application which helps optimally plan prices and promotions. Here I implemented a separate service for promotion changes processing, which communicates with the backend via RabbitMQ, uses a custom queue consumer in order to handle batches of change operations and sends notifications of successful operations via WebSocket. Also, worked on SQL queries improvements and general optimisation, implemented numerous features and took a part in creating an automated testing framework for the app (stack: Python/FastAPI, Snowflake/PostgreSQL with SQLAlchemy, Redis, Celery, RabbitMQ, Docker, Azure DataFactory/DataBricks).
August 2023 - now
Work in a team of 7 on the ELT integration engine that helps transfer big amount of data from different sources (like databases, analytic apps etc.) to any destination. Here I created multiple adapters for different sources of data, worked on the engine improvement (stack: Python, Docker, SQLAlchemy, AWS).
Got some background experience as a business analyst.
$2500 / mo
≈ $30000 / year net
BI Analyst/Engineer
Ukraine · 4 years of experience · Upper-Intermediate ·Published today · In passive search
Ukraine · 4 years of experience · Upper-Intermediate ·Published today · In passive search
My main specialization is a full process of working with data from receiving/scraping to the final visualization and presenting results. That`s what I`m doing for around 4 years in 3 different companies with diverse tasks.
Main hard skills:
- programming skills in R, Python
- Shiny application’s development
- building Power BI reports
- good level of SQL (aggregations, subqueries, joins).
- MySQL, PostgreSQL databases.
- REST API
- Linux
- pdf scraping
- visualization
I had projects of downloading data through API, working with database, wrote automations on Selenium, website parser, building different reports. Extensive experience with Power BI and analyzing data.
Now I want to make more programming work on Python or R as an analyst or data engineer.
My main achievement is to make work done and to bring value for business.
I developed and supported many reports for different departments of my previous companies using new features
Also in development process my goal is to make job completely automatic with minimal further support.
Developed new practices to access data
Wrote scripts to access API, scrape PDF and websites
Had DA-100 Microsoft Certificate
I want to get experience in big company with a lot of data. Looking for team work, not individually. Would be better to have a mentor in this team.
Not looking for Product analytics positions as I don’t have experience in it.
More interested in remote job.
$2000 / mo
≈ $24000 / year net
Data Analyst
Ukraine · Kyiv · 8 years of experience · Intermediate ·Published today · In passive search
Ukraine · Kyiv · 8 years of experience · Intermediate ·Published today · In passive search
$8000 / mo
≈ $96000 / year net
Business Intelligence Engineer
Ukraine · Kyiv · 9 years of experience · Advanced/Fluent ·Published today
Ukraine · Kyiv · 9 years of experience · Advanced/Fluent ·Published today
— Scoping of the new reporting platform with a customer.
— Analyzing data structures in Snowflake DWH, connecting Looker to the DWH using SQL and LookML queries.
— Arranging dimensions and measures with a customer and implementing them in Looker.
— Creating LookML views, explores, models, and dashboards as per client's requirements.
— Setting up user access logic using access grants and user attributes.
— Tracking development progress and cooperation with colleagues in the GitLab versioning system.
QlikView Dashboards:
— Composing / modifying / optimizing QlikView data reload scripts.
— Implement automatic data load errors handling system for all projects.
— QlikView data models development.
— Designing reports layout (creating and modifying objects using complex formulas, set analysis, variables, triggers, bookmarks, alternate states, etc.).
— Data visualization in QlikView reports using filters, pivot tables, charts.
— Managing QlikView reports automatic reload and distribution on the QlikView server.
— Managing user access via Section Access / on the server level.
— Understanding client’s business logic and the best ways of its reflection in BI solutions.
— Support and guidance work with Project Managers and stakeholders on the proposed solution structure and necessary components for successful delivery.
— Working with clients on preliminary scoping and dashboard architecture
— Writing technical specifications for the developed dashboards (instructions for the end-users, manuals for QA).
— Optimizing dashboards for better performance.
— Reviewing dashboards with legacy back-end or front-end.
— Implementing ETL logic in the data reload process.
— Tracking development process in the GitLab versioning system.
— QlikView Dashboard for the global industrial water treatment company). Analysis of the regular security audit results in the company's facilities in the UK, European Union, and Australia.
— QlikView Dashboards for the top US retail corporation. Mainly used to analyze the data about the primary and secondary skills each Employee has. The company has the requirements regarding each skill headcount. The Dashboard helps them regulate the number of people with each skill dynamically across different Departments.
— QlikView Dashboard for the US distributor and merchandizer of supermarket non-foods. Company performance analysis, broken down by districts, stores, categories of goods
— QlikView Dashboards for the software development company. Analyzing time logged by company employees in JIRA and cost-effectiveness of company’s projects.
— QlikView Dashboards for one of the top insurance companies in the United States. Analyzing various aspects related to the clients’ credit risk. Includes scoring, geographical analysis, plan / actual analysis).
— QlikView Dashboards for the operator of senior homes network in the United Kingdom and the United States. Used to analyze effectiveness of senior homes operation as well as level of seniors’ comfort living there.
— Dashboards for one of the world’s top franchises specialized in coffee-making. Used to analyze the performance of coffee shops, quality of coffee, and quality of services (including Mystery Shopping methodology).
$700 / mo
≈ $8400 / year net
Junior Data Analyst
Ukraine · Kyiv · 6 months · Intermediate ·Published today
Ukraine · Kyiv · 6 months · Intermediate ·Published today
$1000 / mo
≈ $12000 / year net
Data Analyst
Ukraine · Kyiv · 1.5 years of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 1.5 years of experience · Upper-Intermediate ·Published today
Finding insights
Maintain company's statistics
Writing instructions
Helping with implementing/improving business processess
Working with data in BigQuery
Created and implemented logic in data reports
Helped tracking sales
Found insights to help business
Suggested many theoretical and practical changes
Computer Science Master's Degree
$600 / mo
≈ $7200 / year net
Analyst
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published yesterday
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published yesterday
I have completed several data science projects using the R programming language. These projects covered a variety of topics, including:
Data preprocessing and exploratory data analysis
Correlation analysis
Regression analysis
Analysis of variance (ANOVA)
I used datasets from the Kaggle website to complete these projects. I also used my knowledge of probability theory and mathematical statistics to analyze the data.
I have a strong understanding of database concepts, including data modeling, normalization, and querying. I have experience creating ER diagrams and normalizing databases. I am also able to solve complex database problems using a variety of techniques.
In addition to R, I have experience programming in Python and C++. I am proficient in C++, with experience in object-oriented programming, algorithms, and data structures. I developed a class for large numbers with 10 methods for fast multiplication, division, addition, and subtraction. This project helped me to master the basics of OOP, improve my understanding of algorithms and data structures, and learn to tackle complex topics that require a strong understanding of mathematics and programming. I also learned to quickly research and use information effectively.
$1200 / mo
≈ $14400 / year net
Data Analyst
Ukraine · Kyiv · 1 year of experience · Intermediate ·Published yesterday
Ukraine · Kyiv · 1 year of experience · Intermediate ·Published yesterday
My recent projects:
1.Ads Analysis, FB and Google
The project focuses on analyzing advertising campaigns in such platform as FB and Google. Using SQL and Google Looker Studio this project analyze data to estimate the performance and effectiveness of ads. There were used such metrics like impressions, clicks, CPC, CPM, CTR and ROMI. The project aims to optimize marketing spend for better investment and raising revenue.
2.Onboarding Funnel in the SaaS
This project helps to analyze onboarding funnel in the SaaS domain to optimize and improve onboarding process and make it easier to complete. Additionally, there were calculated such important metrics as conversion rate(CR) from registration to trial-start and average days for valuable steps during onboarding process. Data visualization reports and dashboards show us main directions that have to be immersed. The project aims to increase conversion rates and set up long-term engagement and retention in SaaS.
3. Cash flow analysis. Revenue metrics.
This project aims to analyze the dynamics of changes in revenue , identify trends and factors of influence. Also, creation of a Dashboard for product managers, which will be easy to use and understand. There were calculated such metrics like Churned Users, Churned revenue, Expansion MRR, Contraction MRR, New Paid Users, ARPPU, New MRR, Churn Rate users, Revenue Churn rate, Customer LifeTime (LT), Customer LTV. Stack of technologies used: DBeaver, PostgreSQL,Google Sheets, Tableau Public.
My role now:
Team lead in customer development department. Main responsibilities:
- managing projects (onboarding for new clients);
- organize working process in a team for better time-management and completing important tasks;
- analyze client’s transaction for preventing а fraudulent transactions;
- preparing reports such as acquisition salary projects and data visualization for identifying preferred engagement channels.
$5000 / mo
≈ $60000 / year net
Senior data analyst
Ukraine · Kyiv · 5 years of experience · Advanced/Fluent ·Published yesterday · In passive search
Ukraine · Kyiv · 5 years of experience · Advanced/Fluent ·Published yesterday · In passive search
I am actively involved in the development and selection of key product metrics and logics, ensuring they align with strategic objectives, and finding best ways for their monitoring, decomposing and analyzing.
Passionately moving towards a data science career, I am actively engaging in advanced studies to deepen my expertise in predictive analytics and machine learning.
Enhanced Power BI data models, achieving up to 3x reduction in storage requirements and faster processing times through targeted optimizations.
Automated data reporting processes, saving hundreds of monthly man-hours across departments by converting manual tables, diagrams, and calculations into automated systems.
Developed and implemented a business-specific aggregated datamart, optimizing reporting by eliminating daily memory load, standardizing metrics across reports, and reducing analytic worktime with a ready-to-use database for targeted business inquiries.
Improved data accuracy and integrity, achieving lower error rates through intensive collaboration with data engineering teams for troubleshooting.
Created and supported over 30 complex Power BI dashboards, enhancing analytical capabilities across multiple business units and enabling detailed problem analysis in specific areas.
Delivered over a dozen C-level presentations, effectively communicating market overviews, key trends, challenges, and impact factors to senior management.