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


Analyzing map data and working with Geographic Information Systems (GIS)
Utilizing SQL and PostgreSQL for data management and analysis
Proficient in Python programming for data manipulation and visualization
Experienced in using Jira for project management and issue tracking
Conducting specialized data analysis using Google Sheets
Writing policies and procedures using Confluence.
As an Event Committee Lead, I was responsible for planning and executing a variety
of events, including producing promotional videos. Additionally, I effectively
organized and managed teams to ensure the success of these events
Position: Data Analyst
Category: Python
Experience: 1 years | English: upper

Working on medical images in different countries. In Hungry, I was working on Alzheimer's disease. In France and Ukraine, I was working on Breast Cancer.
•	Analyzing reports and database to identify inconsistencies and ensured adequate implementation of the new system.
•	Optimizing data collection procedures and generated reports on a weekly, monthly, and quarterly basis.
•	Successfully interpreted data to conclude for managerial action and strategy.
Position: Data Analyst
Category: Python
Experience: 5 years | English: fluent


An experienced and detail-oriented data analyst with strong communication and interpersonal skills. Proficient in coding, mathematical modelling, and building effective data visualizations using Power BI, IBM Cognos, and Excel. Knowledgeable about data models, database design, data mining, and extract, transform and load processes. Competent in working with algorithms and predictive models, and has a good understanding of big data technologies, machine learning, and statistics. Proficient in Portuguese and English.
Position: Data Analyst
Category: Data Analyst
Experience: 6 years | English: fluent


- anomaly detection, data quality verification
- pattern recognition, insights exploration
- sql trobleshooting
- constructing business metrics/indexes
- classification, dimension reduction, clustering, regression modeling
- hypotheses testing (ANOVA, t-test, nonparametric test)
- dashboards investigation
- data-driven decisions support

Data Analyst, Ardas-it, Kyiv, 11.2022 - current
Data Engineer, Kynetec, Poznan, 08.2018 - 10.2022
Data Analyst, BBS Obserwator, Cracow, 07.2017 - 07.2018
not looking for SPSS, VBA tasks and be engaged in database administration
Position: Data Analyst
Category: Data Analyst
Experience: 8 years | English: fluent


A passionate data analyst with over 8 years experience working to support businesses and organization make evidenced based decisions and significantly improve operations/profits.
Carried out numerous data analysis jobs for market studies, evaluations, research using Ms Excel and PowerBI.
Created and managed databases using MySQL, created dashboards and reports using PowerBI based on the data available. 
Created and optimized Information systems based on online platforms like DHIS2, Fulcrum and Microsoft's MIS.
Developed data collection guidelines for studies/research detailing methodology, sampling, data collection tools, workplans and budgets.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: fluent

I had a recognition as the most rewarding and innovate staff of a FinTech company with more than 200 employees.

What did i do? this might interest you! Yea, I made the life of the executives and board of directors easier. I automated a huge volume of data to valuable business insights. It was easier for them to make business decisions at the comfort of their homes.

I did that, it was tasking, but worth it.
A peep to what I do on a daily basis? 

* Actively involved in day to day interactions with business stakeholders to design robust metrics, provided in depth analysis and provide self service automated dashboards to answer key questions.

* Performing custom analysis on a daily basis to help understand the business products and as well, improve income streams in the organization through an improved visual display of business metrics.

* Involved in providing timely insights to support decision making in the various business products.

* Actively involved in data integrity check processes for the business activities within the organization.

* Involved in improving data models, enhancing model performance and providing an intelligent and intuitive dashboard to end users.

* Designed various data architectural flows from different datasources to make data ready for analysis.
I am quite a lazy type, i hate sleeping over routine task. For me, efficiency is turning over reductant task to full automation.

If it doesn't need a human intervention, then there is no need of repeating such task.

I am not just lazy, I am efficient
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: fluent


A productive MBA graduate with experience, looking for filling a Contributing to improving data analytic performance, improving and expanding existing customer sales by making recommendations on marketing strategies using data analysis. I am an industrious person who can add value with statistical and analytical knowledge in the market. Given that I have experience in many different disciplines, I define myself as an interdisciplinary person.
I would like to work in a place where I can gain new knowledge and experience and benefit from it.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent

Completed market analysis, resulting in a 21% increase in sales.
Used Business Intelligence tool to analyze data.
Conducted research using focus groups on 3 different products and increased sales by 11% due to the findings.
Spearheaded data flow improvement.
Developed Key Performance Indicators to monitor sales and decreased costs by 17%.
A proficient Data Analyst with strong experience in SQL, Microsoft SQL, Server, Power BI, Python, Excel/Advanced Excel, Data visualization, Business Intelligence, Data Analysis, and basic data science concepts such as exploratory data analysis and machine learning.

Possesses exceptional people management skills and the ability to effectively communicate results. Skilled in leveraging data to identify trends, develop strategies, and drive business decisions. Experienced in developing reports, presentations, and dashboards to illustrate data insights, and open to new job opportunities

I’m currently working as a Data Analyst Instructor at NIIT
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: intermediate


A results-oriented data analyst with experience in the technology industry. I am able to accurately interpret data, find trends and provide actionable insights. 
There is experience in the field of international relations.  Mathematical and economic background.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

Bachelors Degree in Computer Science 
Certified in Google Professional Data Analytics Program 
Enrolled in post Graduate Program at Indian Institute of Technology in Applied Statistics 
Currently Studying Data Science Specialization at Michigan University
As a
computer science graduate with a BSc from HiLCoE School of Computer Science, where I
graduated top of my class, and with a wealth of experience in various sectors such as
information security, e-commerce, tourism, ERP, and EdTech, I believe that I am well-equipped
to contribute to your team.
My expertise in data analysis has been further enhanced by my certification in Google's
Professional Data Analytics program, where I honed my skills in data preparation, cleaning,
transformation,analysis, visualization, and SQL, among others. Additionally, I am proficient in
tools such as BigQuery,SQL, Spreadsheets, Excel, Google Cloud, R, Tableau, and Excel. My
certificate in SAS only adds to my qualifications.
Furthermore, I am currently enrolled in a Data Science Specialization with Python at Michigan
University and a Post Graduate Diploma in Applied Statistics at ISI, which I believe will only
strengthen my abilities to drive meaningful insights and business value.
Position: Data Analyst
Category: Python
Experience: 1.5 years | English: fluent


As a data analyst at a leading company in Armenia, I have successfully completed numerous projects utilizing a range of technologies. My primary focus is customer analysis and reporting, where I extract valuable insights from customer data and generate reports for management.
In customer analysis, I have employed predictive modeling techniques such as decision trees and random forests. These models help forecast customer behavior, identify potential churn, and optimize marketing strategies. For example, I developed a decision tree model to identify key factors influencing customer retention and a random forest model to predict customer lifetime value.
My background in management consulting has allowed me to work on diverse projects. I have contributed to corporate strategy development, helping companies define goals, assess market opportunities, and devise growth strategies. Financial modeling and valuation analysis have also been integral to my work, supporting financial projections, valuations, and investment decision-making.
I have expertise in data analysis and business intelligence reporting. I create visually appealing dashboards and reports that enable stakeholders to make data-driven decisions and understand key performance indicators.
Currently, I serve as a data analyst responsible for customer analysis and reporting. I collaborate with cross-functional teams, including marketing, sales, and finance, to gather relevant data and deliver actionable insights. I also work closely with data engineers to ensure data quality and accessibility.
While I have achieved significant milestones, I am committed to continuous improvement. I aim to deepen my knowledge of machine learning algorithms to enhance predictive models' accuracy and efficiency. Additionally, I strive to enhance my data visualization skills for more engaging presentations.
In conclusion, my experience as a data analyst and management consultant, supported by certifications in business intelligence, data analysis, financial modeling, and valuation analysis, has equipped me to drive data-informed decision-making and provide valuable insights for strategic initiatives. I remain dedicated to honing my skills and staying updated.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


As a data analyst at an  IT company, my primary responsibility is to collect, transform and analyze data using MS SQL, Python, Tableau, Microsoft Excel, and Google Sheets. My work involves writing SQL queries and creating views.
Once the data has been collected and transformed, I use Tableau software to create interactive visualizations and dashboards that provide insights into key business metrics. These visualizations help stakeholders to understand trends, patterns, and anomalies in the data and make data-driven decisions. For one-time analysis, I use Google Sheets or Microsoft Excel. 
I also worked on a demand forecasting project using Python packages like pandas, NumPy, and scikit-learn.
My work involves collaborating with other members of the team and business stakeholders to identify the needs and create reports which will lead to actions.
Overall, my job requires a solid technical understanding of SQL and data analysis tools and excellent communication and collaboration skills.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: pre


As a Data Analyst at "Фасоль" retail chain in Tyumen (January 2022 to March 2023), I collected, cleansed, and analyzed large data volumes using SQL, Python, 1C, and Excel. I developed informative reports, dashboards, and charts with Power BI, matplotlib, Plotly, and Excel. I provided recommendations based on data analysis to enhance business processes and strategic decisions. I managed databases, optimized queries, and used machine learning for forecasting and risk analysis. Collaboration with various teams was crucial for project success.

Notable achievements include optimizing processes, improving decision-making through new analysis methods, and creating impactful dashboards and reports. I completed successful forecasting and optimization projects, automating data analysis processes. Additionally, I contributed to developing and implementing tools and technologies for improved data management.

Previously, as a Data Analyst at "Смешные Цены" retail chain in Omsk (Sep 2018 to Jan 2022), I collected sales, inventory, and financial data using 1C. I analyzed financial indicators, created reports, and visualized data in Excel, PowerPoint, and Word. I developed sales forecasts and optimized inventory planning. Using graphical tools, I created infographics and dashboards for key performance indicators.

Overall, my experience in the retail industry has honed my skills in data analysis, visualization, forecasting, and communication. I prioritize accuracy, reliability, and timeliness of data to support efficient business processes and informed decision-making.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: intermediate


As a data analyst, I am continuously striving to enhance my skills and expertise. Some areas I am keen on improving include:

    Advanced Statistical Analysis: Strengthening my knowledge of advanced statistical techniques and predictive modeling to provide more accurate and sophisticated insights.

    Data Visualization: Improving my proficiency in creating compelling and interactive visualizations that effectively communicate complex findings to both technical and non-technical audiences.

    Machine Learning: Expanding my knowledge of machine learning algorithms and techniques to contribute more significantly to predictive analytics projects.

    Data Management: Enhancing my understanding of database design and optimization to ensure efficient data storage and retrieval.

    Communication and Storytelling: Developing my ability to articulate data-driven narratives and communicate insights in a clear and persuasive manner to influence strategic decisions.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

My data analytics visualization projects are on my Tableau profile, which is mentioned on my CV.
As a data analyst,
I extracted data from primary and secondary sources using technologies such as Python, SQL and Excel.
Removed corrupted data and fixed coding errors and related problems and reorganized data in a readable format.
Conducted analysis to evaluate the relevance and quality of the data.
Analysed and interpreted patterns and trends in complicated data sets that could be useful for diagnosis and prediction using statistical tools.
Examined regional, governmental, and international trends that affect the business and its sector.
Creating reports and visualizations (heavily in Tableau) for the management that include trends, patterns, and, if appropriate, predictions using relevant data.
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: fluent


As a Data Analyst, I have completed a number of projects and tasks in my previous roles. One project involved analyzing customer data to identify key trends and patterns, which was used to inform product development and marketing strategies. Another project focused on developing a dashboard that tracked key business metrics in real-time, which was used by executives to make data-driven decisions.

In terms of technologies, I have extensive experience using SQL to query large, complex datasets. I am also proficient in tools such as Excel for data analysis and visualization. Additionally, I have used statistical software packages such as Python to build predictive models and perform advanced analytics.

In my current role, I serve as a key member of the BI team, responsible for analyzing large datasets to provide actionable insights to stakeholders. I work closely with product managers, marketing teams, and executives to develop data-driven strategies that improve business performance.

In terms of areas for improvement, I am always looking to expand my knowledge and skills in new technologies and techniques related to data analysis and visualization. Additionally, I am committed to developing my communication and presentation skills so that I can effectively communicate complex data insights to a variety of stakeholders.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


As a data analyst, I have completed a variety of projects and tasks that have helped my team and organization make data-driven decisions. Some of the projects I've worked on include:

1. Sales Performance Analysis: Analyzing sales data to identify trends, key performance indicators (KPIs), and areas for improvement. I used Python with Pandas and Matplotlib for data manipulation and visualization.

2. Customer Segmentation: Utilizing clustering algorithms to segment customers based on their behavior and preferences. I employed Python's scikit-learn library for this task.

3. Marketing Campaign Optimization: Analyzing the effectiveness of marketing campaigns and making recommendations for optimizing future campaigns. I used Excel and Tableau for data visualization and reporting.

4. Website Traffic Analysis: Analyzing website traffic data to understand user behavior and make suggestions for website optimization. I used Google Analytics and Python for data extraction and analysis.

5. Forecasting and Inventory Management: Developing time series models to forecast product demand and assist in inventory management. I used R's forecast package for this project.

My current role in the team is as a Data Analyst. I collaborate closely with other team members, including data engineers, data scientists, and business stakeholders, to understand their data needs and provide actionable insights. I am also involved in data preparation, data cleansing, and maintaining data quality.

While I have gained experience in various technologies, I am always eager to improve my skills and stay updated with the latest advancements in the field of data analytics. In particular, I want to further enhance my knowledge of machine learning algorithms and explore cloud-based data analytics platforms like AWS and Azure. Additionally, I am interested in learning more about data visualization techniques and tools to present data in a more engaging and informative manner. Ultimately, my goal is to become a well-rounded data analyst capable of tackling a wide range of data-related challenges effectively.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent

Completed several projects and tasks, including data cleaning and preparation, data visualization, and data analysis
As a data analyst, I have completed several projects and tasks, including data cleaning and preparation, data visualization, and data analysis. For instance, I developed an automated system to clean and perform EDA for customer data using Python and Pandas libraries. I also created interactive dashboards and reports using  Power BI to help stakeholders in decision-making. Additionally, I conducted various statistical analysis techniques like regression, clustering, and hypothesis testing to gain insights from the data.

In my current role in the team, I am responsible for collecting and analyzing data from various sources, developing data models, and communicating data-driven insights to stakeholders. I work closely with other team members to identify business problems and develop solutions using data.

One area I would like to improve is my programming skills. Although I am proficient in R, Python and SQL, I want to learn new technologies and tools like spark and Hadoop to expand my skill set. Additionally, I want to improve knowledge on machine learning techniques to make more accurate predictions and better business decisions. Finally, I am eager to improve my communication skills to effectively communicate data insights to non-technical stakeholders.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


As a data Analyst, I have completed tasks such as;
I.  Analyzing and interpreting data,
ii. Cleaning and wrangling data
iii. Designing database schemas, entity-relationship diagrams, 
     compiling data dictionary,
iv. Administer questionnaires for needs assessment purposes,
v. Compilation of detailed reports.
To achieve the above listed tasks, I made use of tools such as Excel, Python, Designerdb, PowerBI
looking for projects that fosters growth on both a personal and professional level, as well as significant data analytics tasks.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper

As a data analyst, I have achieved significant success in utilizing data to drive business decisions and improve organizational performance. I have consistently demonstrated my ability to extract, clean, and analyze complex data sets to identify patterns, trends, and insights that inform decision-making. I have developed data-driven solutions to optimize processes, reduce costs, and increase revenue, resulting in substantial improvements in efficiency and profitability. In addition, I have collaborated with cross-functional teams to provide actionable insights and develop strategic plans to drive growth and achieve business objectives.I am skilled in presenting complex data to non-technical stakeholders and developing visualizations and reports that effectively communicate key findings. My ability to provide valuable insights and recommendations has been critical in driving the success of various projects and initiatives, and I am committed to continuing to leverage data to achieve organizational goals.
As a data analyst, I have developed a strong background in data manipulation, analysis, and visualization. I am proficient in various programming languages and software tools such as SQL, Python, Excel, and PowerBI. I have experience in data cleaning and transformation, statistical analysis, data modeling, and data mining. I am also familiar with data warehouse architecture and data governance principles. In my previous roles, I have collaborated with cross-functional teams to identify opportunities for process optimization and developed data-driven solutions to improve performance, reduce costs, and increase revenue. I am skilled in presenting complex data to non-technical stakeholders and providing actionable insights to inform business decisions. I am committed to staying up-to-date with the latest industry trends and technologies and continuously improving my skills through learning and professional development.
Avoid roles where communication and collaboration with team members are limited or unclear. Effective communication and collaboration are essential to success in a remote environment, and lack of support or resources can hinder your ability to perform your job effectively.