Candidates 352
$2700 / mo
≈ $32400 / year net
Data Scientist / Analyst
Ukraine · 3 years of experience · Advanced/Fluent ·Published yesterday · In passive search
Ukraine · 3 years of experience · Advanced/Fluent ·Published yesterday · In passive search
metrics
* Automation of data gathering from various sources (Python + Selenium)
* Building up complex, automatically updating models and visualizing them via BI instruments
* Formulating tasks for developers for internal reporting portal improvement
* Consulting the stakeholders on the M&A process, performing the internal investigations on
money movements within the company complex corporate structure
* Querying the missing documents and requesting valid information during the M&A periods
* Preparing, verification and sending reports to other departments
$1100 / mo
≈ $13200 / year net
Data Analyst
Azerbaijan · 1 year of experience · Advanced/Fluent ·Published yesterday
Azerbaijan · 1 year of experience · Advanced/Fluent ·Published yesterday
EDA/Data Cleaning in SQL
• Handled missing data using advanced SQL statements such as CASE, JOIN, and Temp Table.
• Fixed structural errors and incorrect data types.
• Performed EDA to analyze customer behavior and sales performance.
• Analyzed menu performance and ingredient usage to identify and adjust the menu to feature more popular items.
Customer Churn Analysis with Tableau
• Evaluated the company's customer loss rate in order to reduce it.
• Identified the high-value customer profile.
• Determined key drivers of customer churn and high-value customers at risk of churning.
• Identified which customers bring the most revenue to the company.
Web Scraping with Python
• Extracted used cars data from different pages of a property website with a loop that iterates through pages and collects data from each one.
• Saved the scraped data to a CSV file using BeautifulSoup library for further analysis.
Successfully completed virtual internship by Accenture.
The Complete SQL Bootcamp issued by Udemy.
SQL Courses for Data Analysis issued by Data Camp
Hands-On Tableau Training for Data Science by Udemy.
$3000 / mo
≈ $36000 / year net
Data analyst
Ukraine · 7 years of experience · Advanced/Fluent ·Published yesterday
Ukraine · 7 years of experience · Advanced/Fluent ·Published yesterday
• Engage with technical and business stakeholders to mechanise data management activities and enhance data management procedures within the team, amplifying operational workflow by 18%.
• Enhance stakeholder contentment with project outcomes by 20% through collaboration with technical and business stakeholders to translate their requirements into actionable insights.
• Employ Tableau and Power BI to metamorphose intricate data sets into enlightening illustrations for stakeholders, refining informed decision-making and elevating reporting accuracy by 25%.
• Engineer an automated update system to thwart manual alterations to the data warehouse, guaranteeing data accuracy through developing and implementing data integrity queries.
• Boost data-driven insights for both internal teams and external clients by 18% by rationalising information accessibility through the creation of dynamic, user-friendly dashboards in MS Excel and Tableau.
$1600 / mo
≈ $19200 / year net
Data Analyst
Kyrgyzstan · 4 years of experience · Advanced/Fluent ·Published 2 May
Kyrgyzstan · 4 years of experience · Advanced/Fluent ·Published 2 May
KD Kulikovskiy (Kyrgyz Republic)
- 1C - Sql data obtaining
- Sales Forecasting / Logistics Model
- Data Visualization on Power BI
- Analysis of products and Marketing
A/B test, ABC test and marketing promotion analysis, pattern and correlation analysis
From 2020-08 to 2021-02
SVVZ LLC(Kyrgyz Republic)
- Retail data Analysis
- Working/Creating consignation model with B2B sales of comapny
- Data Visualization
- Sales Forecasting / Production Plan
2019.12 - 2020.01
SPICO LLC (S.Korea)
- Working on project of Slow-Turn Launching machine for marine diesel engine
- ETL for the device
- Analysis and algorithm for the engine state analysis
$1500 / mo
≈ $18000 / year net
Data Analyst
Azerbaijan · 2.5 years of experience · Advanced/Fluent ·Published 2 May
Azerbaijan · 2.5 years of experience · Advanced/Fluent ·Published 2 May
- Data Visualization: Ability to present complex data in visually compelling formats for easy understanding( Power BI, Tableu)
- SQL: Strong command over SQL for data querying, manipulation, and extraction.
- Python: Ability to use these languages for data manipulation, analysis, and potentially machine learning.
- Excel Skills: Including functions like VLOOKUP, PivotTables, and data analysis tools.
- Data Cleaning & Preprocessing: Skills in cleaning messy datasets and preparing them for analysis.
- A/B testing
- Familiarity with marketing automation tools (HubSpot) and understanding how to use data to automate marketing processes.
$8000 / mo
≈ $96000 / year net
Business Intelligence Engineer
Ukraine · Kyiv · 9 years of experience · Advanced/Fluent ·Published 2 May
Ukraine · Kyiv · 9 years of experience · Advanced/Fluent ·Published 2 May
— 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).
$2000 / mo
≈ $24000 / year net
Data Analyst / Accounting and Finance
Spain · More than 10 years of experience · Advanced/Fluent ·Published 2 May
Spain · More than 10 years of experience · Advanced/Fluent ·Published 2 May
For the past 4 years, I've worked as a Data Analyst/ Data Entry Specialist.
About myself:
I'm a detail-oriented person with a deep understanding of business processes and data. I have excellent organisational and time-management skills. I'm a self-starter, task-oriented, and have an excellent level of English.
$3000 / mo
≈ $36000 / year net
Senior Data Analyst
Armenia · 5 years of experience · Advanced/Fluent ·Published 1 May
Armenia · 5 years of experience · Advanced/Fluent ·Published 1 May
Expertise in Data Science and Analytics, Machine Learning applications, AR/VR development, Game Development.
Technology used:
Deep Learning, Machine Learning Algorithms, Data Analytics, Web Scrapping, Data Visualization.
Tools:
Python, C#, R, Java, SQL, NoSQL, PyThorch, NumPy, Pandas, Keras, TensorFlow, MathPlotLib, Scrappy, Requests, .Net Core, OpenCV, Power Bi.
$1500 / mo
≈ $18000 / year net
Data analyst
Azerbaijan · 1 year of experience · Advanced/Fluent ·Published 1 May
Azerbaijan · 1 year of experience · Advanced/Fluent ·Published 1 May
$5000 / mo
≈ $60000 / year net
Senior data analyst
Ukraine · Kyiv · 5 years of experience · Advanced/Fluent ·Published 1 May · In passive search
Ukraine · Kyiv · 5 years of experience · Advanced/Fluent ·Published 1 May · 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.