lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: intermediate


I have two years of work experience in a Danish company that provides business solutions. In the company, I was involved in collecting and processing data, writing and optimizing web applications in Python, identifying and solving problems.

For the last six months, I studied analytics and received certificates in the Google Advanced Data Analytics Specialization and Google Data Analytics Specialization programs.

I want to transition my career from a Python developer to a product analyst role where I can apply my analytical mindset and technical skills to help make data-driven decisions and contribute to the growth and success of an organization. My goal is to use my programming experience to derive valuable insights from data, identify opportunities for product improvement, and collaborate with teams to optimize product performance.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: intermediate


I have useful experience in working with such technologies as MS SQL Server, SQL Server Data Tools (SSIS\SSRS), Snowflake and creating different reports using SSRS, Power BI, MicroStrategy, Looker and Excel. 
Passionate about visualization of reports using different tools. Skilled in communicating and interacting effectively with teammates. Has good potential to grow and learn new things.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


I have worked as a data analyst and data journalist for the last 6+ years. I am interested in product development and analytics, so I am eager to join the IT team as a data analyst.

I have successful experience in the following areas:
• Collecting (including web scraping), organizing, analyzing, and visualizing data.
• Research, finding insights in massive data, and conducting analysis of specific indicators.
• Monitoring social media and media outlets for disinformation. Carrying out analysis on media data including, but not limited: Social Network Analysis, Natural Language Processing, Text Classification, Topic Modelling
• Automation of routine work and creating reports.
• Writing analytical articles in Ukrainian and English.
• Creating interactive engaging journalism projects and tools (JS + D3).
• Project management, fundraising.
• Managing a team of up to 3 people.
• Conducting workshops and lectures for the team and in public.

I believe my experience, interest in product analytics and ability to learn quickly will be great assets for your team. 

Looking forward to hearing from you.

Python, Statistics, data visualization, Analysis and Research, Data Analysis, Analytics Reports, HTML/CSS/JavaScript, D3, Tableau, SQL, Project Management, R
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: fluent

One of my biggest accomplishments as a Data Analyst was developing a predictive model to forecast potential customer churn. I worked with a team to develop a model that incorporated data collected from surveys and customer feedback. This model was able to accurately predict customer churn and enabled us to identify areas of improvement.

I also developed a data visualization dashboard using Tableau that enabled the team to easily monitor our data. This dashboard enabled us to quickly identify areas of improvement and to track our progress over time.

Finally, I developed a Python script that enabled us to automate data collection and cleaning tasks. This script enabled us to quickly and accurately collect, clean, and organize data, allowing us to spend more time on data analysis and generating insights.
I have worked as a Data Analyst for the past thee years. During this time, I have completed a range of projects and tasks such as developing data visualizations, performing data analysis, and creating predictive models. 

I have used a variety of technologies, such as SQL, Python, and Tableau, to help me complete my tasks. In my current role in the team, I am responsible for collecting, cleaning, and organizing data, performing analysis and creating visualizations, and presenting findings to the team.

I am constantly looking to improve upon my skills and knowledge. I have recently taken a course in Machine Learning and am looking to apply the new knowledge I have gained to my current projects. I am currently working on a project to create a predictive model for customer churn and would like to incorporate machine learning techniques to make the model more accurate.
I expect to be given clear and concise instructions for each task I am assigned so that I can complete the task to the best of my ability. I also expect to be given enough time to complete each task and that I will be given appropriate feedback and guidance along the way.

I do not expect to be given tasks that are outside of my skill set or that are too complex for me to complete. I also do not expect to be micromanaged or to have to work with outdated or inefficient technologies.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


I have worked as a Data Analyst in e-commerce, fintech and FMCG companies
Salary review and work-life balance.
Remote full time or part-time work.
Position: Data Analyst
Category: Data Analyst
Experience: 11 years | English: intermediate


I have worked as a database analyst and financial analyst for over 10 years.  One of the companies introduced the use of OLAP cubes.  I want to develop in the field of IT, to work, including remotely.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


I have worked as a Data Research Assistant for 2 years. My main task was data preprocessing, Python program development and data visualization
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: upper


I have worked as Administration Assistant for four years i havr administered yearly budget to manage office requirements such as service contracts, postage costs and supply replenishmenthave been responsible for, assisting
 all travelers (outgoing/incoming) with international and local business travels , support all travelers with visa
 applications and company letters ,arrange hotels, support office Administration with any given assignment.I have successfully planned and executed stuff outtigs , brain storming sessions, family days, starting form venue selection, vehicle arrangement upto scheduling detailed activities of the day with out losing the slightest detail for four consecutive years. 
 In this position I have learned to be organized, prioritize task and communicate effectively with team as well 
 as stake holders. I use MS office,  outlook,  Teams , MS word, MS, excel , share point , yammer during inorder to execute my tasks. I would like ti improve my excel knowledge to Advanced.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: fluent

90% scholarship in Data Science Bootcamp at Coders
I have worked as a Help Desk Technician before. Few years later I got into Software Development. I spent half a year in this field. Then I started to learn about Data Analytics. My journey started with Data Analytics training. In first month of the training, I learned about R programming languages and Statistics. In second month I learned about Machine Learning Algorithms. I worked on many real world data sets and analytical tasks. I performed different types of analysis such as churn analysis. Additionally I worked on dataet of X supermarket chain. During this assignment, I was supposed to solve task from different deparments. 
After the training I started Data Science Bootcamp. I have completed 3/5 of it. During this bootcamp, I have worked on different kinds of datasets from kaggle. During this period I learned about Pythen, Pandas, Numpy, SQL, Matplotlib.
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Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent

In data analysis field I have obtained different certifications, like IBM data analysis certificates, completing courses on Coursera. Using the skills I have improved work efficiency of my department in my current company and previous company like Irshad electronics, where i performed risk analysis using Excel, Power Bi, SQL, Python.
I have worked as a risk analyst  at Irshad Electronics, which is one of the biggest companies in retail electronics chains  of Azerbaijan using Microsoft Excel,  Power Bi as main tools for data analysis at the company for a year.  Currently working as an internal control specialist,  at MKT Cotton,  for more than a year,  where I also use data analysis tools like Power Bi, SQL,  Python and Microsoft Excel as well.  With more than two years work experience in the field I feel confident and can suit any remote data analysis job.
Getting remote data analysis job can help me apply my data analysis skills, working with likeminded people, and I may be able to stay up-to-date with current trends in data analysis industry. It can additionally diversify my income source making it possible to transit from on-site to remote job environment which will benefit the world with going green, not using transportation to go work, not emitting CO2 on cars. I think your company can financially benefit as my salary expectation is not so high, and as an experienced data analyst I can provide you with more safe and sound work.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper


I have worked as Data Analyst 2 companies .I am working with Python Sql Powr Bi Tableau Excel tools.Right now I am AAI LAB Team as AI intern also work as Python instructor at course.
I have worked data cleaning,visualization coding etc
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


I have worked as data analyst and used python (numpy, matplotlib, pandas) in an advanced level. In addition, I have worked on research projects on deep learning. I have built neural networks, mainly MLP, and RNN (LSTM).
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: pre


I have worked as Data Analyst Intern in 2 companies and gained a lot of skills. I met a lot of people in these companies, it helped me to improve my communication skills. Now i am 22 years old and  i am looking for remote job in this sector.
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: upper


I have worked at Huawei Technologies as a software maintenance engineer, specifically in Infrastructure Maintenance and data Integration and reporting respectively. And I am currently working as a Data Analytics Developer at Safaricom Ethiopia. I have used both proprietary and open source tools for data analysis, ETL development and Visualizations.
I have worked on customer value management projects managing end to end processes of campaigns and analysed their impacts. My experience so far is in the telecom industry; however, I am a very quick learner and always up for a new challenege thus I am confident that I can thrive in any environment where I can deliver results.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


I have worked at one of the most famous Inshurance company of Azerbaijan.  Now I’m willing to improve my skills and to work in foreign countries to get better experience and to improve my knowledge and worldview. In my country there are not such an opportunities
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


I have worked at QSS Analytics company as a data analyst intern. I used mostly R, Oracle SQL, and Excel. I was mentor at 3 different R programming language courses and helped course participants to solve problems with R. Then I worked at Azerbaijan Railways for 4 months as a data analyst. I used R, Excel and Power BI there. My task mainly was visualization there. I integrated financial accounts from Excel to Power BI. Then I participated data science training. I learned MySQL, Machine learning with Python there.
Position: Data Analyst
Category: Python
Experience: 1 years | English: upper


I have worked both as a product manager and data analyst.

As a data analyst:

I have a proven track record, where I have excelled in creating informative dashboards and generating insightful charts to uncover valuable data-driven insights. 
My expertise extends to data cleaning using Python, ensuring data accuracy and reliability throughout the analysis process.

As a product manager what I have done was:

1. Project Planning: Skillfully create project plans and timelines using Click Up and Gantt charts for efficient outcomes.

2. Task Assignment: Allocate tasks to align with project goals for development and design teams.

3. Cross-Functional Collaboration: Promote effective teamwork among technical teams, designers, and stakeholders for project success.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: intermediate

Data Analysis
2018 - now	
•	Development/support/optimization of corporate reporting
•	Database monitoring, structure control
•	Business analysis of client groups, risk groups, business lines etc. 
•	Development and support of automating reporting system
•	KPI system development and support
•	Budgeting process

Business Analysis
2020 - now
•	Requirements elicitation
•	Process and implementation scenario modeling
•	Agile and Waterfall project planning
•	User story development 
•	Quality Assurance support 
•	Sprint Demo

Credit Analysis 
2003 - 2018	
•	Corporate client credit analysis (incl. complex financial analysis) 
•	Cash-Flow, credit servicing, ROI analysis
•	Financial model analysis and stress-testing
•	Credit risk analysis and minimization
•	Credit review and further presentation to Credit Committee
I have worked for 15 years in a number of top tier banks as the major expert (financial analysis, financial models stress testing, risk analysis and mitigation etc.). I understand the business and it’s stakeholders - either it is a bank or it’s partner business or the client.

My interest to software development and need to use databases has pushed me to switching to IT.

Within the next 5 years I’ve dived in IT side of banking and finance. I learned how to I speak not only the language of finance but also the language of databases and applications. I enjoy when I get a complicated data analysis task which requires me to build a non-trivial script to use the databases and applications for the needed result.

I have been involved in requirements elicitation, problem solving, solution investigations. I have worked on the most of the projects according to Agile (Scrum) methodology. Was responsible for business analysis, development management and data analysis.

I feel confident working with corporate solutions like MS SQL and PL SQL (Oracle DB); and free solutions DB (MySQL, PostgreSQL etc.) + work with analytics systems (Power BI, QlikView, QlikSense). I understand the stakeholder’s requirements so that I can implement feasible & error-free integration. I took part in incorporation of the solutions at the customers side.
Expectations
•	Apply my development knowledge on the project more than business or interpersonal skills
•	The perfect project would be really complex and challenging. So that the hard-won result of my work would be much appreciated by the stakeholders.
•	A lasting project (new/on-going) I can relate to for years (not months) that requires new features development and ongoing support
•	Project with well-established processes and robust teamwork on all dev, code revision, QA stages.
•	An opportunity to learn from senior colleagues and share the knowledge with the junior.
•	Career growth with corporate education, performance feedback system and salary revision.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


I have worked for a pharmaceutical company for the past 4 years, with a focus on financial and economic analysis for the management during the last 3 years. My academic background includes a degree in Business Administration. In my role, I utilize Excel on a daily basis and am adept at quickly learning new technologies and processes. I welcome challenges and thrive in dynamic environments that require adaptability to change. In addition to my professional goals, I am also eager to improve my English language skills.
I am seeking a remote and flexible employment opportunity that allows me to travel the world while performing data analysis tasks and learning about new IT tools. I would prefer not to work on a fixed schedule, but rather on an objective-based performance system
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


I have worked from the end of 2020 to Q1 of 2023 at airline company, which called Air Astana. My projects and tasks there were: 
· Generation of revenue and expenses reports based on actual data.
· Data reconciliation: revision of electronic invoices in ERP system with IS ESF portal; checking analytics
on monthly closing reports.
· Auto-unloading statistics from workforce of whole department to conversion operations with foreign
currency.

Technologies used: Python (Pandas, Numpy), Jupyter notebook. Power BI, PL/SQL.

I am working in AO Home Credit Bank Kazakhstan right now, current role in the system Middle Data Analyst. My current responsibilities include database support, optimization, and scripting. Technologies: PL / SQL Developer, Microsoft Power BI.
In addition, I do website and application analytics using tools such as Google Analytics 4, Google Tag Manager, and AppsFlyer. I want to improve my analytical skills using SQL on more complex and challengins tasks, also I am keen on data science, eager to use ML algorithms to reach the useful results to business profit.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


I have worked in the consulting domain for nearly three years, including 2,5 years for EY Ukraine. In general, consulting experiences got me to understand the best practices of running a different kind of business and how to interact with other people while working as a team.
During my advisory journey, I participated in projects, mostly both as a data and business analyst. I was responsible for the following tasks:
•	Developed automatic templates for the budgeting process using VBA, and Power Query for state energy company
•	Advised a solution to maintain an item dictionary and further editing in Power BI to fulfil budget forms smoothly
•	Created visualizations in Power BI to highlight analysis results
•	Generated insights for customers segmentation 
•	Advised how to improve performance in sales distributing policy based on sales data
•	Developed an algorithm for transforming data into usable information
•	Review the client's passage through the sales funnel
•	Communicated with the development team to meet the client's needs during the financial system implementation project
•	Held data migration process to a new financial system
•	Designed financial business processes, using BPMN, for a newly launched government healthcare agency
Due to the wide range of professional growth and my employer wasn't interested in my data analysis skills- and toolset development, I decided to take a gap year to get into data analysis deeply.
Over the gap year, I built a strong pillar using analytical instruments such as SQL(MySQL, PostgresSQL), Python(NumPy, Pandas, SciPy), and Power BI. Nowadays, I am improving my skills in statistics, including AB-testing and regression analysis. 
I tend to provide data-driven decisions and insights for a company.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent

Maximizing the power of data has always been fun for me and brings a sense of fulfilment — the challenge of using numbers to tell a story and convey an idea.
One remarkable period my resilience was tested, was getting Executives onboard for the data strategy project. It is a known fact that Executives play a crucial role in the crafting and realizing an organization’s data strategy and when Executives are yet to see the need for a data product, then the question of “How do we get management to agree that our organization needs to pivot into the adoption of this BI tool?”. 
I worked with a Data Scientist who at the time helped build models which were impactful for detection and descriptive analysis, however stakeholders had not seen a reason to adopt the technologies necessary to deploy such a product. 
So, I went ahead and scheduled a meeting with all necessary stakeholders, I went ahead and translated the insights into a dashboard using the free tool of Google Data Studio showing them the advantages of adoption. Some of this would be showing the Fraud team how the Machine Learning Model could help flag suspicious customers, the Client Experience Managers how the RFM model could help with the classification of customers and study behavioral patterns and reduce the customer churn rate from 40% to 15%. 
Although this took about 8 weeks of sharing actionable insights with stakeholders and strategic sessions, the organization eventually made the decision on the adoption of the BI solution.
I have worked on a number of projects which was beyond the tools but also about understanding the data and extracting important information. These projects covered the different dimensions of  analytics: Descriptive Analytics, Diagnostic Analytics, Predictive Analytics and Prescriptive Analytics. Some of the projects have conducted used data to improve revenue, launching a data-driven product, improve existing product offering, correlation analysis, market research.
For these projects I leveraged SQL, Python, PowerBi and code scheduler (for the automation and code scheduling).
Position: Data Analyst
Category: SQL
Experience: 5 years | English: upper


I have worked with different projects as SQL Developer / Data Analyst. Developed SQL reports due to  company and client requirements. Have experience with MSSQL and MySql Databases. Also finished 1 Java Bootcamp in Accenture Baltics.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent


I have worked with Power BI (+Power Query), SQL, Alteryx, python, and API, working with Google Big Query and Data (Looker) Studio right now, and sometimes use Google Sheets.

I want to grow into Data Scientist some day, but for now I know that I have a lot to learn as an Analyst. I'd really like to try working in a startup
I want to work with a motivated team that I can learn from. Want to improve my skills and grow to a Data Scientist someday.
Position: Data Analyst
Category: SQL
Experience: 1.5 years | English: fluent


I have worked with SQL using several joins queries, creating temporary table and calling out data, cleaned and analysed data, visualized data using Tableau and Spreadsheet as well as Excel
Position: Data Analyst
Category: Other
Experience: 0 years | English: intermediate


I have work experience as a junior analyst in a consulting company. My responsibilities were market research, marketing analysis, visual reproduction of data (construction of graphs and charts). I am considering various options, because my career path is just beginning. I am interested in working with analytics, numbers, visuals. I also have a basic knowledge of HTML, CSS, ecommerce.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


I have working knowledge of advanced SQL, and I've had the chance to write SQL queries using SQL Server, MySQL and PostgreSQL. In one of my projects, I used SQL Server to query a sales database, identified duplicate transactions and used windows functions on it. The resulting table was exported to Power BI for report visualizations.
I have also done Exploratory Data Analysis and Visualization using Python's Pandas, Matplotlib, and Seaborn.
Going forward, I hope to take on projects/work that require more of Python, SQL and BI tools.