Candidates 394
$700 / mo
≈ $8400 / year net
Product Analyst
Ukraine · 1 year of experience · Upper-Intermediate ·Published today
Ukraine · 1 year of experience · Upper-Intermediate ·Published today
2) I have experience in developing Telegram Bots:
1. Telegram Crypto Parser Bot.
2. Telegram Channel Parser Bot.
3) Done analysis about team performence. I have explored metadata from Jira, figuring out NaN values and outliers, creating charts and forecasting with scikit-learn.
4) Performed an analysis of supermarkets. I have researched simple metrics, analysis of squares and sells in stores, explored remains goods and pressure on shelves.
5) Also I have done a research of Covid-19 data with SQL.
6) Participated in INT20H Hackathon in Kyiv Polytechnic Institute. Theme was Data Science. We work in teams with groupmates. Tools: Python, pandas, numpy, scikit-learn.
You can find details about these pet-projects on my GitHub
Like analysing, communicating with team for best ideas, providing benefits for the company etc.
Not like creating and sending boring reports.
$2100 / mo
≈ $25200 / year net
Data Analyst
Ukraine · Kyiv · 1.5 years of experience · Upper-Intermediate ·Published yesterday
Ukraine · Kyiv · 1.5 years of experience · Upper-Intermediate ·Published yesterday
- 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
$800 / mo
≈ $9600 / year net
Junior Data Analyst
Thailand · 1.5 years of experience · Intermediate ·Published yesterday
Thailand · 1.5 years of experience · Intermediate ·Published yesterday
Nexteum
2017-now
I am a skilled Data Analytics Pricing Specialist with expertise in processing and cleaning information from brand price files. I have successfully maintained accurate product pricing on websites, played a key role in implementing and monitoring promotions, and analyzed promotion results to create detailed profit reports using Google Presentations. My collaboration with various departments ensures the correct representation of information on the website. Proficient in tools such as Access, Excel, Google Spreadsheets, and partially in SQL, I handle file formats like CSV and Excel. Through active collaboration, I contributed to the automation of the promotion removal process, reflecting them seamlessly on the website. Monthly, I manage the processing of over 600 brands, showcasing my commitment to accuracy and efficiency.
Assistant ManagerAssistant Manager
Grain Company
2019-2020
As an Assistant Manager at a Grain Company, I utilized Google Spreadsheets to develop comprehensive tables for calculating driver salaries, tracking cargo, and analyzing fuel expenses. These tables were thoughtfully categorized to ensure efficient data processing and easy comprehension of various themes. Beyond routine tasks, I evaluated routes based on metrics such as earnings, complexity, and expenses, providing a holistic view of route performance. My strategic approach to metrics allows for informed decision-making and optimization of operational efficiency. This experience has equipped me with a unique blend of analytical rigor and practical insights, contributing to overall productivity and success in my role.
In the realm of marketing analytics, I delved into metrics such as CAC, conversion rates, ROAS, and Customer Churn Rate, showcasing my versatile skills in data analytics. My commitment to excellence is reflected in my responsible approach to task assignments, ensuring accuracy and thoroughness in all projects.
One notable accomplishment involved the development of a population dashboard spanning from 1970 to 2023. Using Tableau, I analyzed global population trends, providing valuable insights into population growth across countries and continents.
In addition, I successfully undertook a project in LookerStudio, creating a dynamic advertising performance dashboard. This comprehensive tool integrated various visualizations, including a combined chart depicting the timeline of ad displays, a linear graph illustrating monthly campaign activity, and a detailed tableau featuring key metrics like Ad Spend, CPC, CPM, CTR, and ROMI.
In essence, my achievements highlight a diverse skill set, from data processing tasks to creating impactful visualizations that drive informed decision-making in both analytical and marketing contexts.
$3000 / mo
≈ $36000 / year net
Power Bi developer
Ukraine · Kharkiv · 1.5 years of experience · Intermediate ·Published yesterday
Ukraine · Kharkiv · 1.5 years of experience · Intermediate ·Published yesterday
My reports are accurate, fast and reliable.
I use at work Power BI, Tabular Editor 2, DAX Studio, SQL Management Studio, Exel, Jupyter Notebook, DAX, Power Query.
Development of reports for sales, marketing, purchasing departments, product analytics, etc.
$2000 / mo
≈ $24000 / year net
Data analyst
Turkey · 1.5 years of experience · Upper-Intermediate ·Published yesterday
Turkey · 1.5 years of experience · Upper-Intermediate ·Published yesterday
$1000 / mo
≈ $12000 / year net
Data Analyst
Ukraine · Kyiv · 1.5 years of experience · Upper-Intermediate ·Published yesterday
Ukraine · Kyiv · 1.5 years of experience · Upper-Intermediate ·Published yesterday
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
$1200 / mo
≈ $14400 / year net
Data Analyst
Ukraine · Kyiv · 1 year of experience · Intermediate ·Published 1 May
Ukraine · Kyiv · 1 year of experience · Intermediate ·Published 1 May
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.
$800 / mo
≈ $9600 / year net
Junior Data Analyst
Ukraine · Dnipro · 1 year of experience · Pre-Intermediate ·Published 1 May
Ukraine · Dnipro · 1 year of experience · Pre-Intermediate ·Published 1 May
Мій попередній професійний досвід здобутий за на посаді головного бухгалтера у виробничій фірмі. За ці пʼятнадцять років я налагодила роботу відділу, швидко опанувала кілька потужних програм обліку та звітності. За цей період не було жодного невчасно зданого звіту чи задачі. Набутий досвід та комунікативні навички дозволяють чітко планувати час, розділяти обовʼязки та організовувати команду.
Мої професійні навички і попередній досвід дозволяють критично оцінювати інформацію, знаходити звʼязки і робити висновки. Розумію цінність якісних даних, важливість отримання даних вчасно і у визначені терміни.
$1500 / mo
≈ $18000 / year net
Data analyst
Azerbaijan · 2 years of experience · Advanced/Fluent ·Published 1 May
Azerbaijan · 2 years of experience · Advanced/Fluent ·Published 1 May
Main metrics I used are recruitment metrics, turnover, employee demographic data.
I have done descriptive analytics.
$500 / mo
≈ $6000 / year net
Data Scientist
Ukraine · Ternopil · 1 year of experience · Intermediate ·Published 1 May
Ukraine · Ternopil · 1 year of experience · Intermediate ·Published 1 May
- Programming: Python , JavaScript, SQL, NoSQL
- Statistics: Knowledge of basic statistical concepts
and methods
- Data Visualization: Familiarity with data visualization
tools (e.g., Matplotlib, Seaborn)
Machine Learning:
- Knowledge of machine learning algorithms and
techniques
- Experience with supervised and unsupervised
learning
- Proficiency in machine learning frameworks (e.g.,
scikit-learn, TensorFlow
- Kaggle
- Offline bootcamp Amazinum company
- Stepik courses “Introduction to ML”