lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst, Business Analyst, Data Visualization, Visual Analytics with Tableau, Data Scientist
Category: Data Analyst
Experience: 11 years | English: fluent

1. Developed and implemented a data visualization dashboard that improved data accessibility and enhanced decision-making processes for the company.
2. Conducted in-depth statistical analysis, including regression models and hypothesis testing, leading to actionable insights that improved business performance by X%.
3. Created and automated data extraction and reporting processes for advertising campaigns, reducing manual effort by 5 hours per week and increasing overall efficiency.
4. Developed revenue and LTV predictive models using machine learning algorithms
2020 – 2023 BEMOBI INTERNATIONAL (F/K/A OPERA SOFTWARE)
(Working remotely from Portugal since 2022 as a contractor)

BUSINESS ANALYST/BUSINESS INTELLIGENCE ANALYST
• Data analysis: Collecting, cleaning, and analyzing data to uncover patterns, trends, and
insights. Applying to derive meaningful conclusions from the data.
• Data modelling and forecasting: Developing and implementing predictive models and
forecasting techniques to summarise data to make the decision to improve operational
performance and main KPIs.
• Reporting and data visualization: Creating comprehensive reports, dashboards to effectively
communicate data-driven insights to facilitate decision-making processes.

Skills: SQL, Python, Looker, Tableau


2017 – 2020 BEMOBI INTERNATIONAL (F/K/A OPERA SOFTWARE)

DIGITAL ACQUISITIONS AND MARKETING LEADER
• Launch and analysis of marketing, advertising and partnership campaigns.
• Advertising platforms: Google Ads, Facebook, TikTok, Snapchat, Twitter Ads.
• Research, analysis, strategic planning of marketing promotions to reach business KPIs.
Skills: Google Ads, Facebook Ads, GTM, GA4, DSP, anti-fraud solutions, RedTrack, Appsflyer, Google
Analytics, SQL, Microsoft Excel; Data Studio (Looker), Tableu, Python, SQL;


2014 – 2017 BEMOBI INTERNATIONAL (F/K/A OPERA SOFTWARE)
MOBILE STORE FRONT OPERATIONS & MONETISATION
• Monetization strategy: Developing and implementing monetization strategies.
• Data analysis: Conducting data analysis and performance monitoring to track key metrics to
identify opportunities for improvement and optimizations.
• Collaborative partnerships: Building and managing relationships with app developers,
publishers, and advertising partners to drive collaboration and strategic alliances.
Skills: Project management, analytical thinking
remote only
Position: Data Analyst / Business Analyst / Product Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


As a Business Analyst:
Conducted requirement-gathering sessions with stakeholders to understand the business needs
Analyzed business processes, identified areas of improvement
and developed solutions to streamline processes
Created and maintained comprehensive business requirements
documents (BRDs), process flow diagrams and use cases
Worked closely with Project Manager, and Technical specialists
to ensure that the solutions meet the stakeholders' requirements
Participated in testing and validation of the solutions to ensure
the solutions meet the requirements

As a PowerBI developer:
Developed dashboards, reports and data visualizations using
PowerBI to help stakeholders make informed decisions
Connected to various data sources, transformed data and loaded into PowerBI
Built custom calculations, created KPIs
Set up automatic updates and reporting.
Participate in testing.
Assisted stakeholders with ad-hoc reporting requests and
provided training on how to use PowerBI
Position: Data Analyst, Business intelligence
Category: SQL
Experience: 4 years | English: intermediate

- Building a Data QA project and leading a Data QA team.
- Creating a data visualization system of KPI and аnalytical metrics.
- Strong technical skills regarding complex data analysis, statistics and researching. Including both side of analytics: ad hoc reports and KPI analysis.
- Big Data analysis.
- Good knowledge of Data warehousing, ETL solutions and BI tools. 
- Profound experience in data visualizations with tools like Tableau, Power BI.
- Experience in Data Mining and Machine Learning with Python data & ML libs( pandas, scikit-learn etc).
Data analysis and research in an interesting project.
Position: Data Analyst | Business Intelligence Analyst
Category: Data Analyst
Experience: 3 years | English: fluent

• Automated queries on metabase that answered daily operational questions, which helped internal stakeholders make more timely decisions leading to a 48.7% increase in revenue output and 35% increase in staff productivity.
• Used Python and MySQL to show customers metrics and also grouped them into sections which were used for customer appreciation thereby increasing our customer’s satisfaction and B2C user’s acquisition rate by 34.75% in H1 2022.
• Used Tableau to do a Live Customer segmentation using RFM analysis to provide insights for the marketing and sales team for customer’s retention.
I have worked on a data engineering project that required the use of python and MySQL to do customer segmentation and also get specific customer metrics.

I have also worked on time conscious task and set alerts on metabase that went off when our data reached a certain threshold.

Technologies I have used so far: MySQL, Excel, Python, Tableau, PowerBI, Metabase, Google analytics.

I currently work as a data analyst  and would like to improve my knowledge in R programming
Position: Data Analyst, Business Intelligence Analyst
Category: Business Analyst
Experience: 2 years | English: fluent

PowerBI Dashboard: Developed a PowerBI report that show the MID Executives real time project KPI's. 

Real-Time KPIs: Save 5 hours weekly! Stay updated on project performance instantly using our user-friendly PowerBI report.

Efficiency Boost: Achieve 15% efficiency improvement with live project insights, enabling quicker decision-making and resource optimization.

Streamlined Operations: Drive success with data-driven decisions and actionable KPIs, empowered MID Executives with information  to take swift actions for better project outcomes.
As a seasoned business analyst with a proven track record of driving success for diverse clients, I am confident in my ability to contribute to your organization's growth and success. My comprehensive skill set, analytical mindset, and proactive approach enable me to identify opportunities, overcome challenges, and deliver optimal solutions. By working with me, you can expect a reliable partner who understands your unique business needs and is committed to achieving your objectives.

Expertise and Experience:
My in-depth knowledge of industry best practices, emerging trends, and cutting-edge technologies allows me to provide valuable insights and guidance tailored to your specific business context.

Analytical Acumen:
My greatest strength lies in my analytical acumen. I possess exceptional data-gathering skills, and I utilize industry-leading tools and methodologies to extract meaningful insights from complex datasets. By employing data-driven decision-making processes, I can help you make well-informed choices that optimize operational efficiency, drive revenue growth, and enhance customer experiences.
Position: Data Analyst, Business Intelligence Analyst
Category: Data Analyst
Experience: 0 years | English: upper

My career in the coffee and casting business has taught me to think strategically about problems and identify solutions. I’ve always been fascinated by numbers, and working in data analytics has been a long-term goal of mine. I'm open for new opportunities to use my new skills in productive work.
I used to work as a casting manager and a specialty coffee expert, most of my experience based on a successfull communication with my working team and customers. Also i gained skills in Excel as i worked with small databases, like list of actors, their work and their contact information, or local coffee roasters, popular coffee beverages and consumption rate, etc. Working with data was always exciting for me, so i decided to became a data analyst and put together my curiosity and analytical skills with responsibility to make valueble impact in my workplace.
Position: Data Analyst, Campaign Manager
Category: Data Analyst
Experience: 1.5 years | English: upper


• web data research
• import, inspect, clean, transform, validate, model, or interpret collections of data concerning the
business goals of the company
• prepare reports in the form of visualisations such as graphs, charts, and dashboards (Power BI)
• writing corporate desktop programs and extensions for the Chrome browser to simplify working with
data in the company (Python)

In the future, I see myself more in the management field than in development
Position: Data Analyst (CRM)
Category: Data Analyst
Experience: 3 years | English: fluent

Master's degree in Analytics in Boston, MA, USA with a CGPA of 3.89.
AWS training certificates; DataCamp Python training certificates
Worked as a CRM Specialist at Azercell, the largest telecommunications company in Azerbaijan.
Responsibilities included data segmentation, campaign delivery, and result analysis using CRM tools and techniques.
Utilized Python packages, Machine Learning models, and Stata for post-campaign behavior analysis and reporting.
Developed a project at ISmiles Technologies, collecting and analyzing streaming data to build ML algorithms for restaurant product freshness assessment.
Created interactive dashboards with Tableau at the State Customs Committee, visualizing and analyzing the economic relationships of Azerbaijan with neighboring countries and the EU.
Currently employed as a CRM Specialist at Azerlottery, contributing CRM expertise to the gambling or i-gaming sector.
I am expecting to join a fast-growing company that will enhance my skills too. I would like to expand my experience by devoting the knowledge I have earned while studying Analytics master's degree in the USA.
Position: Data Analyst, CRM Analyst, Product Analyst
Category: Data Science
Experience: 9 years | English: fluent


1. Head of CRM and Retention Unit at Bakcell

 - Building weekly, month, quarterly and ad-hoc reports of churners, gross adds, COS migration and revenue
- Churn modelling and forecasting churn rates for upcoming months
- Behavioral segmentation of subscribers based on voice, data and VAS usage
- Conduction of targeted marketing campaigns and measure ROI of the campaigns

2. Customer Data Analyst at Capital Bank
- Data cleansing
- Data extraction from customer database via SQL
- Reporting and visualization via Tableau & Tibco
- Behavioral segmentation of credit card users based on POS purchases
- Building customer response models for targeted marketing campaigns

3. Customer Data Analyst  at Allianze Worldwide Partners
Data extraction, merging and manipulation
Data cleaning
Descriptive/exploratory/predictive analytics
Data visuzalition

4. Marketing manager at Azerbaijan Tourism university

 Supervision of all marketing activities of the organization
 Conducting survey and analysis of collected data
 Market analysis
 Development of curriculum & syllabuses in collaboration with R&D department
Open for long term cooperation as Data analyst. Interesting and challenging projects.
Position: Data Analyst / Customer Support
Category: Support
Experience: 1 years | English: upper

100% closing of the annual audit
raising the position to 3 categories out of 4
introduction of new statistics optimization processes
Working in the 4 big logistic American companies at the same time. Communications with brokers, drivers, colleagues in English (via phone and emails, chats). Providing good customer service, quick solving issues, optimizations processes, collecting statistics, creating, making payments, different query requests, handling a Big Data with Google Sheet. Teaching new people our work.
Expect full-time employment, comfortable office,competitive salary, Opportunity for professional growth.
Position: Data Analyst/Customer Support
Category: Other
Experience: 2 years | English: intermediate


Data Quality Analyst (July 2018 - March 2020)
AgileEngine
Responsibilities:
- Collected and organized test data for report generation and analysis;
- Determined root cause of data quality errors and then created tickets/issues in JIRA;
- Collaborated with business analysts and software development team to identify and convert business goals into data requirements.
Main technologies: Microsoft Office (Excel), Kibana, JIRA, Confluence.

Recruitment researcher (March 2020 - July 2020)
MMD smart
Responsibilities:
- Job openings posting, screening of CV's;
- Search and attraction of the candidates using varios sources;
- Conducting screening interviews by phone call, checking English level;
- Analytical and Statistical part of Recruitment.

Recruitment Researcher (January 2021 - now)
SoftServe
Responsibilities:
- Searching for relevant candidates in Linkedin (technical level Middle+);
-  Analytical and Statistical part of Recruitment.
Want to switch to tech position.
Position: Data Analyst | Customer Value Manager | Sales Analyst
Category: Data Analyst
Experience: 2 years | English: upper


I have a diverse background in data analysis, having gained experience as an Actuarial analyst intern at the Ministry of Labor and Social Protection of Population, and then transitioning to roles as a Business Analyst at Soliton LTD and a CVM Retention Specialist and Marketing Reporting Specialist at Azerconnect LLC. My most recent position as a Sales Analytics and Reporting Specialist and Business Intelligence at Azerconnect LLC has allowed me to further develop my skills in data analysis and reporting. Throughout my career, I have demonstrated a strong ability to analyze complex data sets, identify trends and insights, and present my findings in a clear and concise manner to stakeholders.

My technical skills include proficiency in R studio, Python, STATA, SQL, SaaS, Tableau, Excel, and Automation Tooling. I am confident in my ability to manipulate and analyze data using these tools, and I am constantly looking for opportunities to expand my skill set.

I am excited to bring my experience and skills to a new challenge as a Data Analyst.
Position: Data Analyst/Data Analyst Team Lead
Category: Data Analyst
Experience: 5 years | English: intermediate


Skills:
- SQL (PLSQL, T-SQL) 
- DB (PostgeSQL, MySQL, Oracle, AWS Athena(Presto))
- Tableau
- Math, analytical and statistical skills (system analysis degree)
- Python (pandas, plotly)
- Excel

Experience:
- Building analytics reporting system from scratch ;
- Designing and analyzing A/B tests;
- Product Analysis: data discovery, creating new product
 opportunities;

- Team management: hiring, mentoring, developing
 subordinates;
- Building a workflow for analysts and building
communications with other departments.
I don't consider dating, banks
Position: Data Analyst / Database Engineer
Category: SQL
Experience: 3 years | English: upper


1 year of experience as a Data Analyst (working on this position at present). 
* SQL
* ETL process
* Develop reports
* Identify, diagnose, and resolve problems, escalate and track problems appropriately

Technical Support with 2 years of experience addressing customer requests and concerns.
•	Provided CRM support services, troubleshooting, and system operation.
•	Mentored new employees 
•	Worked with such systems as CRM, VoIP, PSP, G-Suit.
I want to learn new things and develop professionally. Preferably desire to face interesting tasks and challenges. Interested in DWBI and learning new tools and solutions.
Position: Data analyst/ data engineer
Category: Data Analyst
Experience: 7 years | English: upper


SQL 5years, PL\SQL, MS SQL. Python, HTML/CSS basics. 
Designing and developing dynamic dashboards, reports, procedures. Data analysis, data cleaning.
Professional growth, challenging tasks.
Position: Data Analyst, data engineer
Category: Python
Experience: 0 years | English: intermediate

practical experience in verification and replacement PC devices; programming language: Delphі; modeling language:  UML; database language: SQL, T-SQL; Microsoft Office;
practical experience in AllFusion Modeling Suit: AllFusion Process Modeler (BPwin); AllFusion ERwin Data Modeler (ERwin), MathCad, VBA, Visual Studio 2005/ 2008, Statistica packet, NetCracker;
experience as administrator of tourism speleology base and speleology excursion guide;
2012-2019 chief hostel administrator in Lviv: manage social network pages, the site creation/maintenance with cms Drupal.
February – December 2014 – CallTech Outsourcing – System administrator in the research company, the duty was to set up VoIP communication on worker's computers, network troubleshooting, remote technical support
Windows 7/XP/2003/2000 / Linux installing, administration, setting, troubleshooting, MS Virtual PC, VMware, network troubleshooting, set up VoIP communication.
August 2019 - now StartUs Insights -  Innovation Researcher - manage and maintain data sets on the European startup; manage analytics and research projects that identify emerging technologies, startups and trends, clean and update data accumulated in the databases (e.g. Excel). Identify relevant target companies and contacts (able to execute effective account exploration and mining tactics); execute Internet research to enrich our datasets; maintain and manage all information, ensuring all communication activities are entered into the system, information is up to date and accurate; work collaboratively with Sales and Marketing to develop and grow the pipeline
Position: Data Analyst, data engineer
Category: Data Engineer
Experience: 4 years | English: fluent


Designed and migrated QlikSense workflows using KNIME with savings up to $1049 for each month.  
	Analysed datasets and provided demo presentations explaining workflows to the customers.
	Organised knowledge base sessions for non-technical users and supervised new customer trainees.  
	Proposed and implemented open source ETL tool that generated $5195 in savings per user in 2021.  
	Provided free KNIME training to the organisation with savings up to $89.99 per person        - Implemented fraud prevention rulesets and configured 7 main transaction channels in antifraud tool IBM Safer Payment (IRIS) during 8 months.
	Analysed and developed antifraud parameters in IRIS for Risk and Analysis team. Detected fraudulent transactions increased from 73.1% (2021) to 93.9% 
	Analysed and prepared financial datasets to identify fraud attacks. 
	Controlled correctness/flow of data in DWH and in IBM Safer Payment (IRIS).
BeCloud, Almaty, Kazakhstan
Data Engineer                                                                                                                           	Used Pentaho Data Integration/Kettle to design all ETL processes to extract data from various sources including live system and external files, cleanse and then load the data into the target data warehouse.
	Created transformations that involve configuring the different functionalities of ETL Tools (Pentaho and KNIME). 
	Developed complex SQL queries to generate re
Position: Data Analyst, Data engineer
Category: Data Analyst
Experience: 2 years | English: intermediate


Experience with Postgres database. Writing simple scrapers using bs4 library. Other kinds of scripts for reducing manual work with help of basic python libraries. Reading and understanding documentation for working with external API. Excel spreadsheets. Working with remote servers
Position: Data Analyst / Data Engineer
Category: Data Analyst
Experience: 8 years | English: fluent

• Build Pipeline systems with unique UI jobs monitoring , high loaded systems;
• Build Data transfers with detailed user's behaviour data from GA/Firebase to Bigquery;• Establish reporting schema and main principles. • Develop and monitor KPI’s calculation schema, logic and provide reports (in Tableau and Excel). • Apply advanced analytics and machine learning algorithms to reveal insights and build forecasts (with Python and Excel). • Develop statistical models to measure company performance (Tableau). • Product strategy development • Coordinate of work of development team Tools used: Python, Tableau, SQL, MySQL,  AWS, POstgresql.
- Build analytics systems and data pipelines from zero, using Python Flask  as back end  and huge variants of libraries for data visualization and analysis;
- Develop a unique system of influencers' marketing analysis from own idea to currently working produce. 
 - Programming languages: Python
- Statistic languages: Python (middle+) ;
- Machine learning; - Neural networks (middle): - DB: Mysql (advanced), PostgresSQL, Amazon Redshift; - BI - Tableau (advanced)
- Experience with AWS, ETL construnction - Machine learning (K-means , C-means clustering, logistic regression, predictive analytics). -Project management; - Grow up the project from idea to 500 000 active users and retention of day 30 around 50 % - Establish CRM system from 0 to production - Establish analytics department from 0
Looking for project of team, who results oritnted, have a huge development speed without lasy persons , who want to launch a lot of AB tests, take passion from insights and orient on client and monetizaion of product
Position: Data Analyst / Data Engineer
Category: Data Science
Experience: 7 years | English: upper

- 3-times growth of e-commerce website traffic and reaching the #1 Google search results in the niche;
- Successful work with multiregional projects with millions of pages in the Google Search index;
- Numerous successful withdrawal from website traffic fall after Google Search updates;
- Experience in full-cycle SEO analytics.
Experienced Data Analyst / SEO Specialist. Worked with various Ukrainian, Russian, and international projects.
Conduct marketing analytics for various projects from all over the world.
Have advanced knowledge of R, JavaScript, HTML A-parser, Zennoposter. 
Experience of work with CSS, Python, SQL, Gephi, Git
- Professional development perspectives;
- Working on the technical aspects of website optimization;
- Team of qualified specialists;
- Flexible working schedule;
- Decent salary.
Position: Data Analyst, Data Engineer
Category: Data Science
Experience: 0 years | English: upper


Car Safety Framework: detection of driver's drowsiness, smoking behavior, using smartphone while driving, mask wearing detection.

Microarray analysis. Testing of ML algorithms performance on choosing feature selection to propose a solution to cancer cure.