lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent

At the age of 18, I launched my own project, BaBulochka, a social bakery that assisted senior and retired citizens in getting additional income. Moreover, every employed pensioner found relief from loneliness. The project won the "Studway" Award in the category of Social Entrepreneurship and 4th place in the all-Ukrainian competition of social projects.

I published a book of short stories called "Third person plural", some of which are reflections of my journey across Ukraine.

I became a finalist in the marketing competition, the Unilever Future Leaders League.

My project, U4Ukraine, won a Paul L. Pfeiffer Student Startup Scholarship.

My last initiative was the "U4Ukraine" store in the state of Ohio and later an international project with over 45 sites around the world. These experiences have taught me the specifics of the global market.
I humbly believe that I have the necessary academic background to perform well at my apprenticeship, as during my university education I have acquired extensive knowledge in financial analysis and valuation, derivatives, econometrics, mathematics, and statistics. In addition, I have completed courses in Econometrics, Corporate Finance, Excel, and SQL, and currently I am improving my knowledge of Python by completing DataCamp courses.

My motto is: « If you want to learn something, the best way is to immerse yourself fully in the field and learn on the go from the best people in the team ». That is how I became the youngest intern at Dragon Capital, a leading Ukrainian investment management company, and worked in the compliance department. During my time there, I gained valuable experience in various aspects of investment banking, including financial analysis and market research. Moreover, I had the opportunity to work on several projects, such as partnership agreements, and prepare financial reports for the company's management. 

What is more, I worked at a Ukrainian’s government entity – CMU Reform Office – where I analyzed regional budgets on the subject of investment in local SMEs and science. I continued to work on this topic during my bachelor thesis by expanding the observation period and creating multiple econometric models through Eviews to conduct comprehensive research.

Finally, I consider that I have acquired extensive hard and soft skills during my academic and professional experiences, which would allow me to easily integrate within your company. In fact, I am able to adjust to new environments with ease, as for the last two years I have lived in various locations and have had a number of cases where I had to live, work, and study in multicultural teams. For example, I moved to study economics and work in the US, which broadened my horizons and gave me a better understanding of international finance.
Position: Data Analyst
Category: Data Engineer
Experience: 0 years | English: upper


I learn actively SQL, Python, R, clouds: AWS, GCP, Azure. During my studies at EPAM RD BI Laboratory I learned advanced SQL, can write queries in MS SQL, PostgreSQL, configure ETL processes in SSIS.
 About AWS: I can work with S3, create roles and users in IAM and configure their, create and customize Lambda function, use AWS CLI, write python script with AWS SDK. 
About Azure: can work in Azure DataFactory, Azure SQL, manage ETL processes
Position: Data Analyst
Category: Project Manager
Experience: 3 years | English: upper

Building HR and recruiting analytics from scratch. Optimization of HR and recruiting systems work for getting more data and opportunities to make the decisions based on it.
I like to work with large amounts of data and translate that into information and insights for top management, from which they can make decisions.
I’m working with:
— Evaluating the effectiveness of HR and recruiting processes
— A selection of metrics to assess the effectiveness of the process
— Improvements to company processes
— Working with top management, providing data and reports on the effectiveness of the company's processes
I expect more work with data and analytics tool, opportunities to study and be a part of a professional team.
I do not want to administrate any system and to be responsible for customer support
Position: Data Analyst
Category: Data Engineer
Experience: 2 years | English: upper


•I'm a business intelligence and data warehouse developer who has
knowledge of BI practices data modeling, SQL skills, analyzing, and reporting
techniques.
•handles the delivery of data and information relating to Business Intelligence
to the organization.
•Sound knowledge of SQL Experience with SQL databases such as Teradata,
Netezza, and Oracle.
•Hands-on experience with ETL tools Talend, SSIS, and Pentaho.
•Creating, designing, and developing data models.
•Prepare plans for all ETL (Extract/Transformation/Load) procedures and
architectures.
•Validating results and creating business reports.
•Monitoring and tuning data loads and queries.
•Develop and prepare a schedule for a new data warehouse.
•Analyze large databases and recommend appropriate optimization for the
same.
•Experience designing, developing, and implementing Data Warehouse
solutions.
•Provide support to the Software Development Life cycle.
•Evaluate all codes and ensure the quality of all project deliverables.
•Monitor data warehouse work and provide subject matter expertise
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper

Enhanced Data Visualization: Created visually engaging dashboards using Tableau, resulting in improved data comprehension and facilitating quicker stakeholder decision-making.
Analyzed customer behavior data and provided actionable insights that led to optimizing marketing strategies, resulting in increased conversion rates.
Investigated a drop in user engagement metrics and identified a user interface issue, which was rectified and led to an increase in user interactions.
I'm a Data Analyst proficient in tools such as BigQuery, SQL, Excel, Tableau, Google Analytics, and Power BI. 
I'm passionate about turning data into actionable insights and thrive in interpreting trends to drive informed decision-making.

My projects:
Onboarding Funnel in the SaaS

As a junior Data Analyst, my project analyzes the onboarding funnel in the SaaS domain. I evaluate user sign-ups, account setup, feature adoption, and retention to optimize the onboarding process. Through data visualization and SQL queries, I track user progress, identify bottlenecks, and measure conversion rates. Segmentation analysis helps tailor the onboarding experience to different user cohorts. By improving the onboarding process, the project aims to enhance user satisfaction, increase conversion rates, and drive long-term engagement and retention in SaaS.

Unit economics + Product metrics in SaaS

As a Data Analyst, I extracted and analyzed data to evaluate key metrics such as MRR, ARPPU, lifetime value (LTV), and churn rate. I created visual reports and dashboards to effectively communicate findings. The project aims to improve business strategies, enhance product performance, and drive growth in the SaaS industry.
I seek a role that allows me to utilize data to uncover valuable insights, contributing to strategic decision-making. I'm eager to work in a collaborative environment that values continuous learning and encourages innovative problem-solving. A company with a dynamic culture, strong data integrity, and a focus on impactful data visualization aligns with my career aspirations. I'm dedicated to the responsible use of data and clear communication to support informed business growth.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


I'm a Data Analyst with a financial background. Attentive, hardworking, result-oriented person. I prefer to dive into data and structure information to perform high-quality data analysis to increase business productivity.


Data Analyst Jan 2023 - PRESENT
 conducted data analysis using BigQuery and DataWarehouse to identify key drivers and trends in business performance;
 worked with stakeholders to identify key metrics and develop KPIs to measure performance;
 developed custom reports and dashboards to provide business insights using Looker Studio;
 collaborated with cross-functional teams to develop and implement data-driven solutions;
 presented findings and recommendations to management to support decision-making;
 managed and maintained data models in Looker Studio to ensure data accuracy and consistency.

Financial Consultant Assistant Jun 2021 - Aug 2022
 participated in the due diligence process (prepared reports for clients, working papers with a lot of calculations, and calculated key business performance indicators);
 participated in the audit process (prepared working papers for different audit sections (OPEX, Revenue, Debt, Employee compensation));
 participated in the compliance audit process.

KPMG Ukraine, Kyiv — Junior Auditor Jan 2021 - May 2021
 assisted senior colleagues in the audit process;
 participated in stock-takes.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: pre


I'm a data analyst with A year+ experience and I'm open to internship, remote and part-time jobs. 
I make good visual and derive reasonable insights from given and collected data.
Would love to work with a team of analysts as a junior analyst or intern so as to improve my skills and build my competence
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent

Awarded with grand of 2020 TMT Early-Career Initiative Workshop
Science h-index: 5 (Check on scopus or NASA ADS)
Learned French to B2 level in less than a year
I'm a data analyst with experience of 4 years in data analysis and scientific research.
The main expertise of my position was pointed to data analysis and software development for science-oriented purposes primarily using Python language. I used statistical analysis to gain insights from the data and visualization tools (Tableau, Seaborn, etc) to present results to collaboration and conferences. As well, I am passionate about ML, and AI techniques, and how they are applied to everyday life.
The skills that I acquired as a research assistant: were software development, data analysis, and academic technical writing. My experience will be beneficial in my future workplace and I start with high motivation and passion.
Position: Data Analyst
Category: Data Science
Experience: 2 years | English: pre

I have been involved in a number of real projects in Python programming and R programming. I made predictions using Data Cleaning, Data Visualization və Machine Learning <Regression və Classification> models (data cleaning, data visualization and machine learning <regression and classification>). I have worked on a number of Time series analysis projects. I know CNN in Deep Learning. I have worked with Spark, Mongo DB and can use both at an entry level. I also set up dynamic dashboards in Tableau or Power Bi using visualization.
I’m a Data Analyst with more than 2.5 years of experience in different kinds of data-driven sales roles. I work on defining the customers with the highest likelihood to buy and arming the sales teams with the most relevant, data- based talking points to help them generate more business. My diverse background helps me to see the data from
the business stakeholders’ vantage point and explain the data insights and ML models to non-technical audiences.. Skilled in Python, R, SQL, statistics and machine learning on large datasets. Extracting useful, actionable insights and presenting them to stakeholders with ‘business friendly’ presentations, dashboards and automated reports. Talented and highly motivated individual with excellent organizational skills and a good eye for detail.
To develop further, to get real practical experience, to always learn something new from teammates, it is better to master what I know.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: intermediate


I'm a Data analyst with some background in data science. I work in retail company and analyze KPIs (sales, ipb, atv, traffic, cr ...), also i have some experience with customer segmentation (rfm, cohort analysis, retention, ltv ...), also know basic ml algorithms for clustering, classification, regression tasks.
Also, i create interactive dashboards in Power BI.

I work with: SQL, plsql, excel, python, sap bo, power bi / tableau.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper

I’m currently working closely with the Human Resource Manager and at such, I do more of Human performance analysis to help manage the organization workforce.
I’m a data enthusiast with intermediate knowledge in Excel, SQL and Python, I am confident that I would be an excellent addition to your team.

My experience in data analysis has allowed me to gain a deeper understanding of the value of data in driving business decisions. In my previous role at Brandregimsfs, I was responsible for analyzing data from various sources and creating visualizations to help management make informed decisions. I also used my knowledge of SQL to extract and manipulate data to generate reports and dashboards for stakeholders.

In addition to my technical skills, I possess strong communication and problem-solving skills, which have been essential in effectively collaborating with cross-functional teams and presenting data-driven insights to senior management.

I am excited about the opportunity to join your organization and leverage my skills to drive business growth and innovation.
 Thank you
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


I'm a Data Scientist, that have worked in lots of different industries: 
The Data Engineer that used to model DWH, created ETL pipelines and wrote scrapers.
The Data Scientist in one of the biggest banks in Kazakhstan, used to optimize the Debt Collection System and Forecast The Number of Different Types of Creditors
The Product Analyst in the biggest Food Tech company in Region. Created Dashboards and searched for Insides Mostly for Marketing, and left the company due to the war in Russia.
The Product Analyst in ultra fast delivery startup, mostly working with the product and marketing team on retention and LTV of users.
Main Skills:
Data Visualization, Analytical Skills, SQL, Python, DWH Modeling, ETL, Statistics, A/B testing.
Stack:
Python, PostgreSQL, BigQuery, Power BI, DataLens, Tableau, Talend.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


I'm a Data Scientist with two years of practical experience. I have extensive knowledge of Python and its key libraries such as Numpy, Pandas, Matplotlib, Seaborn, TensorFlow, and PyTorch. In addition, I'm working with MySQL databases, creating visualizations in Power BI, and Excel. My skills in mathematics and statistics allow me to effectively analyze and interpret data.

I have successfully completed various data science projects using these tools, including  sales analysises, sentiment analyses, customer churn analysis, and building reports. My ultimate goal is to continue developing my expertise in data analysis to help businesses and organizations make better decisions based on facts and data.

I'm committed to constantly improving my skills and staying up-to-date with the latest tools and technologies in the field of data science. I'm excited to explore new opportunities and take on new challenges that allow me to further develop my data analysis skills and make a meaningful impact in the industry.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper

Look at working experience block.
I'm a former SEO-specialist, who was working with both small/middle businesses and big one (OLX). I was mainly automating routine SEO-tasks using Python&G-Sheets. I have developed and implemented full ETL process for updating key dashboard for our client.

Currently I am working as a Data Analyst for a one of the biggest marketplaces in Ukraine. Stack: Python, PostgreSQL, Airflow. I am developing and maintaining ETL processes for keeping product dashboards up-to-date as well as tables in our analytical database. Also I was doing a little bit of modelling for a prediction merchant's retention.
I am looking for a part-time job only.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper


I'm a highly competent Junior Data Analyst from Lviv who has an excellent eye for detail and a big-picture mindset.
My previous experience is related to analyzing big amounts of data, maintaining and creating PowerBi reports, working with Excel reports, presenting the data to stakeholders to make a proper decision.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: fluent


I majored in Korean language and have experience more than 4 years in it. In 2021 I decided to change my career path and start attending a data analytic course. After completing successfully i have taken part in 2 training programs which took around 5 months in total. In the former i used only SQL server but in the latter i had few tools at my disposal. For querying data from database i used Oracle Sql and Mysql and for visualization purposes I employed Qliksense and Qlikview(sometimes). At work i not only created small amount of dashboards on Qliksense. Mostly, i fixed the ones which were created before me but had been updated automatically.
 I am extremely motivated to be a good professional in this field, therefore, all i need is a chance to prove myself. That is why i do not ask much salary at this stage. I even started to study tensorflow for deep learning.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent


I'm a Jr. Data Maintenance Specialist at BNP Paribas SS. My main responsibilities include:

- Data maintenance and integration for investment compliance processing;
- Audit data on a regular basis and ensure data integrity; 
- Evaluate datasets for consistency, completeness, accuracy and reasonableness;
- Support of the integration of fund accounting data;
- Cooperation with external and internal stakeholders.

At work we primarily use Excel and VBA macros. However, in Warsaw I studied Data Science for my Master's where I got skills of data analysis in SQL, R, and Tableau. 

I'm looking for some junior positions in data analytics roles.
Position: Data Analyst
Category: Python
Experience: 1 years | English: upper

Two trading algorithms.
I'm a junior Data Analyst and have experience in data cleansing and performing exploratory Data Analysis on that data. Recently, I was working for one of the international cryptocurrency companies. I created two trading algorithms for the company that was deciding to buy or sell a particular cryptocurrency at the moment.

For creating trading algorithm I was using Python, NumPy, Pandas and for visualization  Matplotlib and Seaborn were good choice. 

I also took part in creating trading bot and for that we used C#

I decided to learn PostgreSQL and now I know basics of it. At this time, I want to improve all of my skills and gain new one depending on the necessity.
I will never work for gambling house and anything related to it.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper


I’m a mathematician, my background has always been heavily based on mathematics. My work experience lies in Finance and Education sectors. I worked as an Assistant at the Mathematical Analysis department at the University I graduated with Masters's Degree. After that I became an accountant for a few years up to the time me and my family moved to Poland through my husband’s work. I took more interest in technology, especially computer science during last year. I have developed programming skills, and significant data wrangling and visualization capabilities. I have good communication qualities that allow me to accurately communicate my findings and suggest solutions to complex problems. I spend time dedicated to my own continuous improvement and development. I believe this is essential for a Data Scientist, especially when things are constantly changing and evolving.
Position: Data Analyst
Category: Data Analyst
Experience: 10 years | English: intermediate

-Creation of the function of the analytics department from scratch;
-Creation of 10 full-fledged analytical applications based on QlikView, including: Sales Analysis,
Sales Funnel Analysis, Traffic Analysis, Cohort Analysis. Users have fast and convenient access to
data at any time.
- Over 100 standardized timely automated dashboard reports daily by email and  About 20 operational reports in telegram (such as hourly sales, shipping and packaging).
-Consolidation of several data sources into one database for quick access to data and consistency
control.
- Vast experience in the analysis of consumer behavior, LTV.
- Implementation of large and urgent tasks with small resources (team of 3 people)
I’m an analyst with 10 years of experience in offline and online (E-commerce) retail. Core competencies in - Sales (detailing, sales funnel) and Marketing (segmentation and customer behavior, traffic channels and conversion). I love data and my mission is to create and support a data-driven culture:
• Experience in creation of the analytics department from scratch;
• Strong analytical and problem solving skills;
• Processing large massive of information;
• Minimization of manual reports, automation of repetitive actions;
• Excellent communication and interpersonal skills;
• Deep knowledge and experience in QlickView;
• Experience with   SQL, Google Analytics, Figma, advanced level of Excel
Position: Data Analyst
Category: Data Analyst
Experience: 6 years | English: upper


I’m an analyst with 6 years of experience in product companies.
I can make different kinds of reports(daily, monthly) about sales, events, KPI, forecasts such as business plans, full market analysis. As a rule, I use MS Excel and Power BI. I know SQL and study R.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


I’m a self-taught data analyst with a background in journalism and degree in international economics. I ask meaningful questions and find impactful answers.

On the current position in a state-owned IT company, I started as a PR-manager, writing news and press releases. But my ability to understand and operate data (with Excel at that time) quickly came in use while preparing for a marketing campaign. I analysed customer behaviour (segmentation, retention) and later learned to use Python and Tableau and found the way to implement them in my work. 

Now I have experience writing SQL queries in BigQuery, cleaning and exploring data in Jupyter Notebook (numpy, pandas), creating complex visualization in Tableau. Most of my work is about finding the answers with data, though I still occasionally write press releases.
Position: Data Analyst
Category: Data Analyst
Experience: 8 years | English: upper


I'm a SQL  developer with 8 years of experience. During these years working in Ministry of Health, Labour and Social Affairs(LEPL Social Service Agency - Analysis and statistics division) of Georgian Republic, I created various billing systems for other national programs.


Cureently, I work as SQL Developer in one of the biggest Georgian Bank - "Credo Bank".


About my skills:

Well organized, with sense of responsibility. Analytical and communication skills.
Good adapting and quick learning ability, Ability to work independently as well as in a team.
Experience to work in big projects. Experience to work simultaneously in parallel projects,

- MS SQL Server
- Advanced SQL skills
- Data warehousing and statistics, Billing.
- Microsoft Power Bi Report Builder and Desktop versions
- Python
- VISUAL STUDIO
Interesting job.High salary and the good team.