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

Modeling and visualizing hard marketing report.
Working with several CRMs and understand it data structure.
I have experience in project deployment from frontend data collection, backend data connection and their combination:
- use of GCP Data Transfer.
- Settings GA4 (web) / Firebase / Adjust / Appsflyer / Singular

- 2 years of experience in data transformation using SQL.
- 2 years of experience writing data models.
- 2 years of reporting visualization experience in Looker Studio.
- work with ML functions of GCP
The ability to learn to work with data: loading, cleaning and analysis.
Ability to work with SQL
Position: data analyst
Category: Data Analyst
Experience: 5 years | English: intermediate


I have more than 5 years in analysis; 
1.5 years practice with SQL queries;
my own projects with forecasting on Arima model using python libraries;
Visualisation.
In my work I built the logic of SQL queries, worked with different statistic data, created reports from zero, made analysis of factors, visualisation and forecast.
One of my biggest pride is accurate forecast for inflation in situation when we had a devaluation of UAH and sharp increase in gas tariffs in 2014. 
I always takt  into account many different factors when making any decisions. Analyzing is a part of my life in any situation.

I would like to extend my expertise in analysis and I'm opened to new instruments for this goal. I have a desire to work with Python in real life and use it in analysis too.
Position: data analyst
Category: SQL
Experience: 1 years | English: intermediate

I finished the 'Data Analyst' specialization online on the 'Skillfactory' platform
I worked as a research analyst at Ciklum (6 years and the last 2.5 years working as a manager in the team).

At the position of "Research analyst", my tasks were mainly the creation of technical specifications for various goods for online stores.

At the position of "Project manager", the main tasks were already concerned with coordinating the work of the team for one American client (BestBuy.com store): communication via email and stamp processing through the plan.io tracking system.
I have realized that I want to engage in data analysis using SQL, Python, and data visualization tools. I finished the 'Data Analyst' specialization online at SkillFactory and it is interesting to put the knowledge into practice in commercial projects.

I am interested to work in a company, where I can grow my knowledge faster. A startup format where it will be necessary to study in the short term.

I want to see the results of my own work, engage in data analysis definitely using Python, SQL, statistics and to develop in this. 

In general, there is an active desire to study data analysis and data science.
Position: data analyst
Category: SQL
Experience: 1 years | English: intermediate

i have a huge interest in this field, i try to develop myself every minute
- strong sql skills;
- work with big data;
- strong excel skills;
- good vba skills;
- basic vba;
- basic python.
working with big data, 
to find some relations in data,
to get knew knoweledge
Position: Data analyst
Category: Data Analyst
Experience: 11 years | English: upper

Recently I developed with my team the methodology for pharmaceutical market segmentation using neural networks.

In past one of my projects had social impact. I created the prototype of 'Pilot project on reimbursement of the cost of drugs for patients with hypertension' (for Ministry of health of Ukraine)
implementing pharmacoenomics principles of assessment in medical and other costs in Ukraine.
13 years experience as the Head of analytics at healthcare and pharmaceutical market (Big data).  Analytical reports (using databases SQL, Excel), Data visualisation (QlickView, Tableau), Preparing test scenarios and analysis of test results, report writing. 
In-depth experience with identifying and understanding user and business needs and behaviors in both B2B and B2C environments.
I want to further my career in data analysis. I would like to focus on professional growth and interesting projects.
Position: Data analyst
Category: Data Analyst
Experience: 4 years | English: upper


1. Creating custom dashboards and interactive visual reports using Power BI or Tableau
2. Power BI, Power Query, DAX language, M-code, SQL
3. Creating reports from ETL to Service publishing 
4. High experience in MS Excel functionality (Pivot, Query, complex formulas)
5. Reports automatization using VBA/Apps Script
6. Analyzing data and present data through reports that aid decision-making
7. Design, develop, test, and deploy Power BI scripts and perform detailed analytics
8. Performing DAX queries and functions in Power BI
9. Performing analysis to assess the quality of the data
Position: Data analyst
Category: Data Science
Experience: 0.5 years | English: intermediate


1 year of  not-for-profit development  on Python
0,5 year experience with mathematical modeling, optimizations in linear programming problems
0,5 year experience with data labeling for analysis and for training
Professional growth is one of the major thing in which the support of company is important
Interesting tasks
Position: Data analyst
Category: Data Science
Experience: 2 years | English: intermediate

Learned Power BI while being on maternity leave, eager to learn and improve my skills in Data Analysis
2 years of experience as a sales analyst at the bank:
• Prepared regular Excel reports of sales (in terms of bank products and bank departments) consolidating data from different sources (SQL database, specialized banking software like Decision, Scrooge and B2, external Excel files)
• Prepared samples of clients according to defined parameters (for SMS mailing, calling, etc.)
• Prepared presentation materials with detailed data visualization using MS PowerPoint
• Analyzed and interpreted the data according to management requests.

2 years of experience as an analyst in a consulting company. I worked on a project to reduce costs for a network of retail stores, in particular:
• Described the business processes of retail stores using specialized software like ARIS and Bizagi
• Collected data about business processes using the method of observation and interview
• Built a model of business processes optimization to reduce financial and time costs
• Prepared regular presentation materials with detailed data visualization using MS PowerPoint for a client.
Willing to work as a data analyst, develop English, keep work-life balance. Ideally have the opportunity to learn Data science in the future.
Position: Data analyst
Category: Marketing
Experience: 0 years | English: intermediate

I successfully finished next online cources: 
+ "SQL for data analysis" on Stepik.org
+ "Data Analyst" course on Skillsup,
+ "SQL for data analysis" cource on Udacity.com,
+ "Data analysis using R" on Stepik.org
+ "Statistics. Basics" on Stepik.org
3.5 years I was tagging and managing all video data in the video archive at the Espreso TV channel
Position: Data analyst
Category: Data Analyst
Experience: 5 years | English: fluent

Award as the best graduating student in high school.
Awardee of many scholarships based solely on merit.
Expedited the right decision-making process in an organization which increased profit exponentially through the perfect analysis done by me.
5+ years as a professional data analyst across various sectors spanning healthcare, education, finance, research and many other sectors.
Having the following skill set:
Collecting and processing data: This involves identifying relevant data sources, extracting data, cleaning and transforming data, and preparing it for analysis.

Analyzing data: This involves using statistical and quantitative analysis techniques to identify patterns, trends, and insights in the data using tools like Excel, SQL, Python, or R for data analysis.

Creating visualizations: creating visualizations like charts, graphs, and dashboards to communicate their findings to stakeholders in a clear and understandable way.

Reporting: Creating reports to summarize their findings and present them to stakeholders, often including recommendations for business decisions.

Maintaining databases:  responsible for maintaining databases and ensuring data quality and accuracy.

Identifying areas for improvement: continually identify areas for improvement in data collection, analysis, and reporting processes and make recommendations for changes.

Collaborating with other teams: work with other teams like marketing, sales, and finance to identify opportunities for data-driven decision-making and to provide data-driven insights to support business objectives.

Keeping up with industry trends:  stay up-to-date with the latest industry trends and best practices to ensure that their analysis and recommendations are current and relevant.
Position: Data analyst
Category: Marketing
Experience: 5 years | English: upper


5-years experience in collecting data and data analysis. 
- communication with partners (discussing deals, finding a way to increase
performance)
- creating a dashboard (by using Power BI and Tableau) for trend analysis
- automation processes (by using python scripts) for reducing working time
- data analysis (finding weak and strong sides in publishing at all and in each
apps, looking for reasons of drops and finding ways to fix it)
- making monthly and annual reports
Position: Data analyst
Category: SQL
Experience: 7 years | English: upper

SQL Skills
5 years of working with DB.
3 years working on Object Programing using C#, ETL Development.
2 year of working on Automatization.
Position: Data analyst
Category: Data Analyst
Experience: 5 years | English: fluent


Acted as the first point of contact resolution for customers and ensured the delivery of quality service hence contributing to revenue growth.
Assisted customers in accessing KRA processes at the service centre leading to smooth running of the organization by solving the problem of long queues especially towards the closure of the financial year.
Ensured complaints were handled and recorded as per the complaints management framework which helped the authority improve its services to taxpayers.
Escalated customer issues that need intervention of technical staff via the recommended service escalation email leading to customer satisfaction.
Report-preparing reports as required hence improving decision making by the relevant departments.
Position: Data analyst
Category: Data Science
Experience: 1 years | English: upper


Analysis of big data, support, and automatization of current reporting, designing new work algorithms for gasoline stations network and restaurant business, computer modeling of tourists flow in Lviv.
Position: Data analyst
Category: Data Analyst
Experience: 8 years | English: intermediate


•	 Analysis of loan and collateral portfolio.
•	 Preparation of annual and quarterly reports in accordance with IFRS.	 
•	 Setting tasks for IT department for DWH development.
•	 Writing SQL queries to automate reporting and monitoring.
•	 Organizing data sources and building data models.
•     Implementation and support of a business intelligence system based on Power BI Desktop.
•     Development and support of a stress testing system based on the R language.
Position: Data analyst
Category: Data Analyst
Experience: 2.5 years | English: upper


As a data analyst, I performed Data cleansing, analysis and standard report preparations based on Financial documents of the client. 
I have mentored newcomers and reviewed specialists and received good feedback from them.
I was also engaged in simple, nevertheless interesting projects with Power BI.
I would like to have the possibility to work on projects where I can apply my enthusiasm to  deep data analisys, dashboard/reports preparations, communications with client, work with modern tools, and skilled colleagues.
 I would appreciate new opportunities for personal and technical growth.
Position: Data analyst
Category: Data Science
Experience: 1.5 years | English: fluent


As the data analyst, I mostly deal with: 
(a) data collection and processing - creating automated pipelines for data-gathering and cleaning (Flask, WTForms or requests, BeautifulSoup + pandas + PostgreSQL);
(b) data exploration and visualization - creating static visualization (matplotlib, ggplot2), as well as dashboards (Tableau)
(c) descriptive analysis and writing reports.
Position: Data analyst
Category: Data Science
Experience: 0.5 years | English: upper

Completed training and received certification on the Google Cloud Training platform (Create ML Models with BigQuery ML, Insights from Data with BigQuery, BigQuery Basics for Data Analysts)
I successfully completed and received the course 'Data Science Specialization' in DEVrepublic.
Basic knowledge in Python, Math & Statistics, SQL, Data Collection. I want to develop myself in data analysis and data science.
I want to work with professionals and get knowledge and experience from them
Position: Data analyst
Category: Business Analyst
Experience: 0.5 years | English: intermediate


-	Basic knowledge of HTML/CSS, SQL, JavaScript, Jira
-	Good analytical skills, good team player
Interesting projects with challenging tasks.
Career and professional growth.
Friendly atmosphere in team.
English-speaking atmosphere.
Position: Data analyst
Category: SQL
Experience: 2.5 years | English: upper

I'm Doctor of Philosophy - PhD (National economy)
Commercial experience:

- Developing and visualizing automatic reporting based on SSRS, Report Builder, Power BI.
- Analysis various indicators on the basis of MS SQL Server (including creation of procedures, views, building complex queries).
- Automated and visualized reports with the forecast  of the main indicators. 
- Setting mailing for sending of reporting.
- Internal reporting and reporting for partners.
- Creating dashboards in Power BI.
- Creating KPI's in SSRS.
- Excel (including pivot tables, building complex queries).
- Base knowledges of Python (pandas library)

Theoretical knowledge and independent practice:

 - theoretical skills and independent practice in MySQL (PHPMyAdmin).
- basic knowledge of C ++ (before OOP).
-  Git.
- Visual Studio.
I am considering a remote option of work or work with a periodic visit to the office
Position: Data analyst
Category: Business Analyst
Experience: 3 years | English: intermediate


Company: Lime 
Work period: September 2017 – Current time
Position: Data Analyst
Function: 
- Collect all the data from different kinds of sources, CRMs, DBs etc.
- Create a regular (daily/weekly/monthly) and unregularly reports by using MS Excel and SQL
- Updating and optimization SQL queries
- Updating and optimization reports

Company: Content Analysis Center
Work period: January 2017 – August 2017
Position: Media analyst
Function: 
- Compilation of daily media monitoring, weekly and monthly statistics.
- Working with YouScan and Mediateka.

Company: Sense Vision (GameDev)
Work period: April 2015 – August 2017
Position: Analyst assistant
Function: 
- Interviewing respondents
- Coding open questions
- Video transcript
Position: Data analyst
Category: Data Analyst
Experience: 9 years | English: upper


• Complete creating analytics from scratch.
• Supporting the product, marketing, and C-level teams on all 
issues of analytics.
• Complex researching (user’s behavior and user journey, user 
segmentations, etc) 
• Developing and maintaining the system of custom dashboards
and reporting
• Launch and calculate the economics model (revenue model, 
predicted revenue and users model, PNL-revenue model, churn 
prediction, etc.) 
• Automation of daily tasks, automation of communication, 
development, and implementation of tools on health tracking 
analytics systems.
• Hypothesis generation, design, launch, and analysis of A/B tests.
• Metric engineering
• DWH engineering, creating and supporting of ETL -process
• Creating and support of data-collection and event-tracking
process
• Managing and mentoring the analytics team
• Creating a knowledge base for all analytical domains and teams 
in one place.

Languages:
SQL, Python, DAX, M, JS 
DB, 

DWH:
Google Big Query, Snowflake, 
MySQL, MongoDB, Hadoop

BI & Analytical tools:
Power BI, Tableau, GDS, Looker, 
GA(U360), GA4, Firebase,
AppsFlyer, Hotjar, Segment,
Quantum Metric, etc
Position: Data analyst
Category: Data Science
Experience: 0 years | English: pre


Completed courses on Coursera Platform: Data Visualization and Communication with Tableau, Managing Big Data with MySQL, 
Excel/VBA for Creative Problem Solving Specialization, Data Wrangling, Analysis and AB Testing with SQL, Practices of operational analytics in MS Excel.
Identifying SMART objectives, Structured Pyramid Analysis Plan ("SPAP") , ER-diagrams, relational schemas.Executing complex queries and table aggregation statements for business analysts, and practicing using them with real databases.Building a simple testing framework to touch on A/B Testing.
Designing and persuasively presenting business data stories that use visualizations, capitalizing on business-tested methods and design principles. Performing table calculations in Tableau.
Worked with arrays and import/export arrays from/to Excel using VBA code; automating the import, modification, and consolidation of information from multiple worksheets into a central worksheet as well as the import of information from multiple workbooks to a central workbook.
Professional growth, good team, opportunity to improve my skills.
Position: Data analyst
Category: SQL
Experience: 8 years | English: upper

o	Success developed of the new reports with complicated contract terms
o	Effectively took on the support of the existing reports and operative resolved of the new issues
o	Helped team to meet deadlines for new and existing reports delivery
o	Prepared documentation of the reports with describing requirements, source tables, runbook, reconciliation steps
o	Core Retail bank reporting system development and maintenance under the Credit Card project -> 40+ indicators, the regional perspective, sales channels, cards and plastic types
o	Successfully implemented labor costs allocation collection, which increased the cost optimization quality and accuracy at a separate profit-center closing
o	Designed and implemented automated report on the regional network development (30+ new branches a year) with each department personnel actual number and financial structure (100 offices)
o	Integrated financial structures in the bank accounting systems doubled the rate of various reports formation and drill down data for financial and management reporting
o	Fulfilled customers requirements business analysis and writing the PRD for the >10 completed budget module implementation
o	Conducting placing of employees and partners in a regional network cost calculations, which led to cost savings up to $100 k
Core skills: BI, Data analysis, reporting, SQL, ETL, MS Excel
Secondary skills: Tableau, VBA, Python and R

 Perform root cause analysis, investigating any data errors or anomalies and implement solutions to correct data issues
 Development high-quality analytical reports
 Design metrics and reports supporting data quality initiatives, Tableau reports development
 Develop complex SQL scripts and ETL workflows for reports generation
 Performing data analysis / profiling / mapping / validation
 Data collection / cleansing / lineage
 Strong problem solving and troubleshooting skills with experience exercising mature judgment
 Experience working directly with business owners to gather requirements
 Able to work both as a team player and by my own independently with minimal supervision and guidance diving deeply into details
 Excellent communication skills - I like to meet people, introduce interesting solutions that facilitate someone’s living; enjoy working with a team of professionals. My colleagues tell me “It’s great to work with you
Currently open for an opportunity to join a dynamic, ambitious, growing international company and build a career as a Data/BI analyst & engineer.
Position: Data analyst
Category: Data Science
Experience: 3 years | English: upper


Creating customer profile researches. Gathering all data available for certain bank product users. Making statistic report containing demographic, income, service period, cross-sales, card transactions in different channels etc. Merging results in PowerPoint presentation for bank CEO, heads of Retail and Marketing units for selecting future sales strategies.
Creating customer aggregates in data warehouse. Preparing data structures, writing SQL queries, queries optimization, testing, putting calculations on scheduler.
Application for updating user’s references in data warehouse. Creating references data structures. Writing application using Borland Delphi with direct connection to data base that help to search not actualized data in source system and match it with reference.
Application for reporting automation. Writing application using Borland Delphi that execute defined SQL queries with given parameters and input results in html template to visualize interactive charts and tables.
Launching direct marketing campaigns. Defining target group. Writing SQL queries, estimating sample size. Choosing communication channel (SMS, ATM, Internet banking, Call center or PM) in dependence of sample size, customer value and budget available. Gathering feedbacks. Estimating response rate. 
Customer classification. Gathering data from warehouse: demographic, income, service period, cross-sales, card transactions in different channels, etc. Data preprocessing – filtering anomalies, standardization, correlation analysis. Defining customers groups using cluster analysis in SAS Miner. Building contact strategies for different groups. Launching direct marketing campaigns for certain groups to increase customer value. Analyzing feedbacks.
Analyzing customer lifecycle. Researching acquisition and attrition channels and products, service period and cross-sales in dependence of acquisition product. Defining life cycle stages. Scoring probability that customer will buy certain product.
Position: Data analyst
Category: Data Analyst
Experience: 0.5 years | English: upper


Currently I am working as a billing specialist and attending the Data analytics course at karpov.courses 
As a billing specialist I work with data mostly in Excel and extract it from 1C and Google BigQuery systems.
I would like to develop myself further in data analytics field, which is the reason I started passing the analytics course where I studied Python(Pandas, stats, numpy, seaborn, API), SQL(clickhouse database with tabix for queries and redash for dashboards), statistics, Tableau, Airflow, Git