lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent

CPIM (APICS)
Google Data Analytics
Lean Production (Technical University of Munich)
Oracle Primavera P6 [17.7] Fundamental and Oracle Primavera P6 [17.7] Advance 
Power BI Essential Training (LinkedIn) 
Excel Supply Chain Analysis: Solving Inventory Problems (LinkedIn) 
Excel: Implementing Balanced Scorecards with KPIs (LinkedIn)
Currently working as production planning engineer, planning supply and demand sides of production. As a Certified Production and Inventory manager (CPIM)  I work with a lot of data mainly extracted from SAP (ERP), clean data, analyze it and visualize it to the top management/shareholders. Generally working on Excel, but when data is big enough transferring it to SQL for smooth analysis. As visualization tools using both Tableau and PowerBI depend on the visualization that has been decided to use. Forecasting making is  based on the cleaned and analyzed data (estimating future data). Has 5 years experience in manufacturing field, recently had my  Google Data Analytics certificate. Implementing data analysis knowledge in my daily activities at job, to make data driven decisions.
I have beginner friendly experience with Python and R so I do not want any starting jobs with high level of experience with these mentioned skills. I highly appreciate to start a remote job and by supervision learn these mentioned skills while working from beginner to advance.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper

• Organized  all processes in the company (sales, finance, logistics)
• Created a system of Uploading data from the 1C database in the company
• Developed monthly/quarter/year reports in Power BI of the
company
Current position: CEO
• Full enterprise management (sales, finance, accounting)
• Calculation, development and implementation of new
projects
• Systematization and optimization of all processes in the
company
• Setting tasks for staff
• Control of the financial condition of the company
• Uploading data from the 1C database
• Making monthly/quarter/year reports in Power BI of
company functioning (sales, costs, profits, etc.)
• Using reports make strategic decisions in the company
• Preparation of monthly/quarter/year financial reports for
company`s founder

My purpose: complete immersion in the world of Data Analyst. Improve acquired skills, and also ready for new deep knowledge about big data
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: intermediate


Current position - Data analyst, Python (since Oct 2020)
Data mining, parsing, processing and analysis; Designing and maintaining dashboards; Data analysis and dependences researching; Analysis of introduced features; DB designing and developing; Web and API services developing.
Technologies: Python, PostgreSQL, MongoDB, Tableau, Google API services, Excel, Git, Flask
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: upper


Current projects:
− Development, automate and support of Power Bi or Google Data Studio reports;
− Ad Hoc tables, preparation of data for reports and business requirements;
− Development and support of data integration scripts
python, dbt, airflow; Work with API and Hooks; Built ETL process; 
− Google Analytic and Google Ads reports;
− Writing technical tasks, instructions, README, presentation and training;
Want to develop:
Analytical research, A/B testing, Machine learning, statistical analysis and continue to develop reports.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper

- Developed and implemented Power BI reporting in an international company. Leaded data processes with global teams.
- Leaded cross-domain teams for developing projects.
- Brought valuable clients and got beneficial contracts with considerable projects.
- Changed the internal working system by providing new engineering methods and raising work effectiveness.
- Have a significant technical engineering background with large long-term construction projects.
Current work:
ETL, data modeling, administration, and implementation of Power BI on the premium workspace for different projects with organization-level reports. Data procession, modeling data warehouse, cleaning, validation, and transforming for many projects from various data sources. Provide analysis and directing data processes with international teams.

Previous experience:
Managed engineering projects, provided market and client research, arranged contracts, headed projects at all operation stages. Performed analysis for internal and external clients.

Tools: Power BI (DAX, Power Query), SQL, Python Data Stack, GitHub.
Visualization tools: Power BI, Python, Tableau, Excel. 
Python/SQL: Anaconda, PyCharm, Jupyter Notebook, PostgreSQL, SQLite.

Skills:
-	Power BI (Dax, Power Query)
-	Database modeling
-	Mathematical statistics in SQL/Python
-	Python Data Stack (Pandas, NumPy, Scikit, Matplotlib, Seaborn, etc.)
-	Exploratory and Descriptive analysis
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper


Customer Service Agent at 5CA, Lublin
December 2022 — June 2023
- Answering customer messages and assisting with internal information systems - Assisting the business in obtaining outstanding customer service ratings
- Managing Zendesk, Teams
Customer Service Specialist at CCIG Group , Warsaw
October 2021 — Present
- Responding to customer messages and supporting internal information systems - Helping the company earn excellent customer service ratings - Handling confluence, slack, and Helpshift.
OTC/ITC Process Associate, at Genpact, Lublin
December 2019 — December 2020
- Maintaining the general ledger and reconciling transactions both monthly and annually.
- Performing customer reconciliation monthly.
- Clearing customers' payments with invoices and answering pay status inquiries. Prices and discount updates.
- Preparing monthly VAT reports.
Position: Data Analyst
Category: Other
Experience: 2 years | English: intermediate

I currently served as a Customer Success Associate, where I work closely with the sales managers on providing the best experience for the clients and reporting actual quantitative parameters to the team. During my time there, I worked on optimization of inner processes, their automatization and enhancing of the data with it’s extending in cross-team projects.
Customertimes, Kyiv — Business Analyst/Consultant

Attendify, Kyiv — Customer Success Associate
November 2018 - March 2020
• CRM management and support for CSMs;
• Internal Financial analysis and complex reporting;
• Processes Optimization and further monitoring;
• Various Market, Customer Experience and other Data research;
• Cooperation with Research, Operations and Software Engineering teams in global Projects

State Property Foundation, Donetsk — Databases Operator (Internship)
2012
• Documentation preparation, the formulation of the goals;
• Establishment, digitalization and correction of acts and projects;
• Control of the creation and subsequent conduct of acts;
• Communication with the customer
I would love to work in a team of any size but only with the product company.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


daily closely working with mySQL: creating complex & non-complex queries to analyze product and team metrics; writing small python scripts to extract data from DB; managing and mentoring the team, monitoring their productivity; automation of daily tasks, data visualization, developing and maintaining the analytical dashboards; conducting interviews and one-to-one meetings; writing tech documentation.
Position: Data Analyst
Category: Data Science
Experience: 0.5 years | English: fluent

IBM Data Analyst Specialization:
• Introduction to Data Analytics
• Excel Basics for Data Analysis
• Data Visualization and Dashboards with Excel and Cognos
• Python for Data Science, AI & Development
• Databases and SQL for Data Science with Python
• Data Analysis with Python
• Data Visualization with Python
• IBM Data Analyst Capstone Project
• Dashboard building in Tableau.
• Data Cleaning and Data Manipulation with Pandas library in Python and Excel:
Joining tables, filling missing data, deriving new columns, transforming dirty data into machine-understandable format.
• Automating Data Updates with Python os module.
• EDA in Tableau
• Rare web-scraping projects
• Intern mentorship

Dashboards are built in Tabelau.
Tasks that I did required Python modules: Pandas, os, matplotlib, scikit-learn, statsmodels, NumPy, BeautifulSoup
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: intermediate

Created reporting for HR system
(.net,  MS SQL, Power BI)

Created reporting for financial business processes (Power BI, SQL)
Data analist / Softwere engineer
Comintech Kyiv

Create SQL procedure, views, functions, triggers, develop 
.applications (.net, python, javaScript), creating ETL process, creating castom reports (.net) and Power BI dashbords

Data analist
Valuetek

Creating Power Bi dashbords, work with DWH, writing sql queries, creating sql objects, preparation of analytical presentations

In terms of technologies, I am mainly using SQL, Python, .Net, Excel, Power BI, Tableau.
Position: Data Analyst
Category: Data Analyst
Experience: 7 years | English: fluent

Developed flow of setup and analysis of the A/B tests. 
Implemented consistent tracking of user interactions across all applications: web and mobile.
Migration to self-hosted tracking solution from 3rd party.
Migration to self-hosted A/B testing platform from 3rd party.

Strong marketing background.
Data analysis: 
Building dashboards/reports for marketing, product and growth teams.
Data researches.
A/B testing analysis.
Product analysis.
Marketing campaigns analysis.

Management of marketing projects: 
cross-team marketing activities,  partnerships and development tasks for marketing needs.

Tracking implementation: 
conversions tracking, Google Analytics set up 
(or other analytical systems), tracking of custom events, custom audiences collection. For web, desktop and mobile.

Automation: 
Google Ads Scripts development to automate reports or some manual work. Can be applied to other platforms with API as well.
Perfect role is a Data Analyst with possibility to do some Data Engineering tasks to grow into Data Engineer.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

- PhD in Medicine, scientist – I did my own small scientific studies with statistical processing of my patients' data (experience with Statistica StatSoft and its data visualization tools making my lovely statistical charts and diagrams; teaching my colleagues to do the same); also I have a lot of scientific publications and grants worldwide and I can do it for my future team (if needed); 
- Highschool medical teacher for English-speaking students with >10 years of experience – you can be sure I'm able to explain anything to anyone in the simplest way;
- Doctor – and that's why I'm mostly interested in medical and biological projects; it would be easy to expect smth from analysis and to explain our findings;
- Python skills – please watch the video of my pet-project "ECG-helper" at my GitHub;
- I love studying smth new!
• data analysis for my own scientific researches in Healthcare (mostly Statistica soft + data visualization and interpretation + scientific publications)
• pet-project (on-going) - an interpreter of the recorded electrocardiogram for the benefit of a more accurate diagnosis of cardiovascular pathology // Python – OOP and PIL, OpenCV, TKinter, Numpy etc are used
Most interested in medical projects.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: pre


Data Analysis: I have utilized Google Sheets and Excel for processing and analyzing large volumes of data, including statistical analysis, generating charts, and creating summary tables to gain insights.

Task Automation: Through Google Apps Script and Excel macros, I automated routine tasks such as importing data from external sources, automatic data updates, scheduled report generation, and even email notifications.

Creating Interactive Dashboards: I created dashboards in Google Sheets using built-in tools and Google Apps Script to build interactive interfaces for data visualization and quick access to various analytical reports.

Working with APIs: Using Google Apps Script, I connected with various external services via APIs to retrieve and update data automatically.

Teaching Colleagues: I conducted training sessions for colleagues to enhance their productivity and data analysis skills using Google Sheets and Excel.

Data Storage and Security: I developed data storage and security strategies, including configuring access rights and encrypting files.

Data Migration: During data migration projects, I used Excel and Google Sheets to prepare data for import and verify its correctness post-migration.

My experience with these tools has enabled me to effectively analyze data, provide task automation, and create convenient reporting tools that enhance productivity and efficiency.
Position: Data Analyst
Category: Data Science
Experience: 5 years | English: upper

Online courses: Power BI, Power Query (certificate). 
I have created databases for a pharmaceutical company in Spain, automated monthly reporting, and provide support for 6 years.
Data Analysis in Power BI and Excel. Database development, report creating, data visualization. Solid knowledge of DAX, Power Query (including M), Power Pivot. Importing and querying data from different online (OneDrive, Google Drive, web pages) and on-
premises (Excel, SQL, CSV, TXT, etc.) data sources.
Experience - 5 years.
I would like to work remotely in a solid company.
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: intermediate


Data analysis in the Search team with a focus on product search analytics in all sections of Kaspi bank, especially in the store.
Optimizing the search process for customers, delivering high quality results and an improved user experience.
Working with data, using Python (pandas, numpy) for data analysis and processing.
API interaction, including working with yandex.speller and ChatGPT to experiment with workflow improvements.
Conducting A/B tests.
Transaction improvement and expertise in the online business department.
Data analysis and reporting using SQL, Python and tools such as Power BI and MS Excel.
Work on projects in the field of data analytics and product analysis.
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: fluent


•	Data analysis of main departments: business, product, marketing, and customer service. Using SQL and Excel.
•	Programmed and designed part of our systems using HTML, Angular.
•	Created BI reports and built KPIs dashboards drawing from multiple database sources using Tableau.
•	Collaborated with the inventory department to optimize stock levels, resulting in a 15% reduction in excess inventory costs while maintaining high product availability.
•	Led projects, involved in all stages of the product life cycle, incl. project strategy, product development, and implementation. Produced monthly reports using advanced Excel spreadsheet functions.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


Data Analysis: Proficient in conducting exploratory data analysis (EDA) and employing statistical techniques to identify trends, patterns, and anomalies in datasets. Experienced in using tools such as Python, R, SQL, and Excel for data manipulation and analysis.

Data Visualization: Skilled in creating clear and visually appealing data visualizations using tools like Tableau, Power BI, or matplotlib. Able to present complex information in a concise and easy-to-understand manner.

Data Cleaning and Preparation: Familiar with data cleaning techniques, data preprocessing, and data transformation. Capable of handling missing data, outliers, and ensuring data quality and integrity.
Reporting and Documentation: Proficient in generating comprehensive reports summarizing data findings and presenting actionable recommendations. Skilled in creating documentation to outline data analysis methodologies, processes, and results.

Problem-Solving: Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable tasks. Detail-oriented and adept at finding practical solutions to data-related challenges.

Communication: Excellent written and verbal communication skills, enabling effective collaboration with team members and clients. Able to convey technical concepts to non-technical stakeholders in a clear and concise manner.
Position: Data Analyst
Category: SQL
Experience: 11 years | English: basic

KPI’s calculation
SQL queries
Reports in Excel and Business Objects
Data Analysis, Statistics, Data Presentation, SQL(Oracle, MySQL, PostgreSQL), MS-Excel, VBA, KPI
Good team, Personal growth, Interesting project.
Position: Data Analyst
Category: Data Science
Experience: 3 years | English: upper


- Data analysis with SQL, Python, finding root causes, providing insights and solutions for improvement;
- Working with Salesforce REST API, Microsoft SQL Server, raw CSV/Excel files as data sources;
- Salesforce objects and Postman experience;
- MS Azure (repos, boards) experience;
- MS Teams, Sharepoint, Outlook for teamwork;
- Working up to Scrum;
- SQL data analysis in Postgres, MySQL;
- Python data analysis (pandas, numpy);
- AWS data services (Redshift, Athena);
- Data vizualization (matplotlib), Grafana for metrics observation;
- Web scraping with Python (Beautiful Soup);
- HTTP basic concepts experience;
- Salesforce data maintaining and analysis.
- Gitlab, Jira, Confluence for teamwork;
no gambling/casual games plz
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


Data Analyst 02/2021 - present
Analysis of Macroeconomic data across the globe Researching data, insights on the internet
Provide Data/Customer support using ITIL framework Data Validation
Communication with Customer/Data providers on their/our needs as a service provider
Task prioritization
Documentation maintenance
Collaboration and communication with stakeholders Data Engineering
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper


Data Analyst | 12/2021 – Now
-Engaged in the development and filling of data for the loss tracking report for more than 100 mil UAH.
-Assisted with the preparation of documents and data for substation sponsorship from UNDP.
-Monitored the quality of data for reports coming from all over Ukraine.
-Supported existing reports and speed up their performance by 50 - 75%.

Junior Developer  08/2020 - 09/2021 (Laboratory Document Managment System)

- Created user-friendly web pages according to provided specifications. 
- Maintained the system acceptance document, filled in the knowledge base.
- Completed AWS training.
Interesting tasks which can give me more experience and grow me professionally.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


DATA ANALYST (1.5 year experience) 

I am professional researcher and data analyst with strong educational background.  I hold bachelor degree in Business Management and master's degree in Economics from University of Warsaw. I have been working as data analyst at Accenture since May 2021.  I have specialized in applying statistic-econometric and data analytics method to solve business problems. My daily task involves:

- Gathering and analyzing quantitative and qualitative data, using advanced statistical models, and supporting projects
relating to data/reporting solutions.
-Transforming, cleansing, and enriching data, developing econometric models, running regressions, and interpreting the obtained results

I am looking for new tasks, challenges or opportunities to implement my data analytics skills to create real-life business value.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper


Data Analyst
1.) Organizing and improving company marketing strategies by using google tags to track customer behavior on an e‑Commerce website and improving google ads campaign performances.
2.) Collaborating with customer success, product, and marking teams to conduct market research and study to identify competitors' strengths and weaknesses and deliver actionable recommendations to stakeholders through accurate dashboards and reports.
3.) Developing business KPI dashboards in Tableau that report real‑time business metrics, track customer base growth, and push improved business decisions by stakeholders by 50%.
4.) Improving marketplace performances to generate a quarterly increase in sales and revenue by 45% by leveraging google analytics to understand customer behavior from ad campaigns.

Upwork (Data Analyst Freelancer)
1.) Collaborated with client organizations by collecting, structuring, organizing, and synthesizing different data types and information to clean, interpret and present the information through excellent communication skills.
2.) Worked with computer software, tools, and programming languages like Microsoft Excel, Microsoft SQL Server Management Studio, Tableau to process and model data and deliver key insights to businesses.
3.) Responsible for business coordination, requirements gathering, and requirements analysis in the specialization. Also presented complex information to both technical and non‑technical audiences.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: intermediate


Data Analyst (2 years) 
Monitoring, support and analysis of production and test environments, problem solving, optimization of data storage loading processes and algorithms; Improving the database, creating new mappings: searching and creating complex algorithms. (PL/SQL Developer and Oracle Data Integrator)

Product Owner (8 months) 
Product backlog management and prioritization, based on Scrum; Budget planning, preparation of presentations, reports, roadmap, KPIs; Stakeholders management, coordination of the terms of project development, verifing requirements and gained both business and technical approval from customer and internal teams; Conducting functional meetings, workshops to gain requirements and elaborate the most efficient solution.

System Analyst (1,5 years) 
Analysis of system problems, development and solutions implementation; Gathering information, analyzing requirements and setting technical tasks to developers; Testing new functionality for systems; Support users on information systems. 

Database administrator, QA (4 years) 
Improving the quality of the described products; Check compliance of the described information in the company's database; Deliver support to internal users in the form of reporting, tickets and other data requests. 

Technical Support Manager (2 years) 
Providing help and answers to the customers' technical issues through the identification of the problem itself, research on answers, and subsequent provision of guidance; Coordination of the work of departments in emergency situations