lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data analyst
Category: Data Science
Experience: 0.5 years | English: upper


Master of Applied Mathematics (Institute of Applied and Sustem Analysis (NTUU '‘Igor Sikorsky Kyiv Polytechnic Institute'))

8 years experience as a Senior analyst of Risk-management Reporting Department  at  Raiffeisen Bank Aval 
-Formation and automation of reporting based on bank credit portfolio. 
-Testing of new databases and systems developed for the bank. 
-Communication with colleagues from parent bank when sending monthly data, the analysis of reliability of sending data, portfolio reconciliation and adjustment. 
-Preparing presentations based on portfolio data. 

Worked a lot with Interactive SQL and PL/SQL, familiar with R and Python.
I am looking for junior position in data analysis, ready for and interested in self-development and gain knowledge in this field. Ready for both ruitine and specific tasks.
Position: Data analyst
Category: Data Analyst
Experience: 4 years | English: fluent

While working at CES, built a dashboard to visualize performing stats from all social media; it is being used as a company performance report and saves 16 hours per month of manual reporting work.
MIDDLE DATA ANALYST (N-iX)
Working on a project in the Telecom industry. 
Main tech stack: SQL, Tableau, Python, AWS

DATA ANALYST (Centre for Economic Strategy)
Provide expertise in data storage structures, data mining, cleansing, processing, analysis, modeling, visualization.
Develop dashboards for data intelligence and analysis using Power BI and other visualization toolsets.

DATA VISUALIZATION DEVELOPER
Working on book covers generation based on the data extracted from book texts. This project is an example of generative art and design application in publication graphic design. The work combines such fields of Computer Science as Natural Language Pro-cessing (processing text data to get its structure and features), Algorithms and Data Structures (representing and working with a tree data structure), and Data Visualization (generation of cover elements).

DATA ANALYST (VIGO Industries)
Acquiring data from primary or secondary data sources and maintaining databases/data systems, developing and implementing databases, data collection systems, data analytics and other strategies that optimize process efficiency and data quality.

PYTHON/DJANGO DEVELOPER 
Working on Portfolio APPS project. Python, Django, MySQL, HTML & CSS, Scrum

JUNIOR BI DEVELOPER (P3Transform)
Business processes modelling with ARIS, managing projects with MS Project & MS Project Server

Moreover, during my studies, I have been taught a variety of subjects including Calculus, Linear Algebra, Probability, Algorithms, OOP, Databases, AI, Business Analysis, Data Processing and others. I have experience with programming languages, such as Python, R, Java, C, C++. I took part in the Lviv Data Science Summer School 2018 (4 ECTS), where I’ve been working on NLP project (text summarization and facts extraction for the Ukrainian language). Also, I have some experience in Computer Vision (parking assistant).
Position: Data analyst
Category: Data Engineer
Experience: 7 years | English: upper

Achievements:
• Created and merged 140 pull requests in dbt repo. 
 1. Added 9 280 lines of code in the dbt repo
 2. Removed 9 751 lines of code in the dbt repo
• Adopted dbt snowplow project for datarobot internal needs
• Created feature name mapping for all app.datarobot features and frontend events
• Decreased number of errors in Tableau (reports,datasource refresh fails) from 130 to 5 in average per day
• Migration from BI host jobs scheduling to Rundeck
• Described 95% of metrics used in QlikView applications (30+ apps)
• Initiated the "definition of done" to close the task
• Implemented the test cases
• Built a daily report system for 4 departments and 2 projects
• Developed 15+ dashboards for ad-hoc tasks in Metabase using complex PostgreSQL queries
• Constructed a model of daily plans and forecasts for 10+ metrics
- Modeling data in a way that empowers end users to answer their own questions
- Documenting and testing data models and applying best practices around data modeling in the dbt (data build tool)
- Providing clean, transformed data sets to end-users.
- Ad-Hoc requests related to product, customers and interaction events data.
- Building retention, funnels, power users charts.
- Maintaining our data warehouse with timely and quality data
- Creating data models to help analysts provide insights for the business users
- Improving data pipelines in dbt. Consulting client with the DBT related questions/issues.
- Optimizing SQL queries in Snowflake
- Managing data pipelines in AWS (AWS Lambda, Dynamo DB)
Position: Data analyst
Category: Data Analyst
Experience: 3 years | English: upper

Experience:
- MS degree in Applied Mathematics
- Programming skills in Python (numpy, pandas, matplotlib, seaborn, scikit‑learn)
- Good understanding of statistical analysis
- Fundamentals in classical Machine Learning / Deep Learning
- Understanding of main principles of generative models
- Working with SQL databases
- Upper-intermediate level of English

Passed courses:
- Machine learning, OpenDataScience mlcourse.ai
- Feature Engineering, Kaggle
- Intermediate Machine Learning, Kaggle
- Data Visualization, Kaggle
More information here on linkedin/natali-susidyk-a05b381a3/

Key responsibilities:
- Primarily work with Product / Sport Managers and help them to make correct data-informed decisions
- Monitoring of the main indicators of the product. Development of own dashboards to improve the quality of monitoring in areas where this has not previously been carried out on an ongoing basis
- Сreating separate data sources and aggregates in the database for quick interaction with data and expanding the functionality of existing reports
- Building and optimization interactive Tableau dashboards for data visualization, analysis, monitorings, A/B testing
- Interpreting and conducting the results of A/B tests to optimize existing and implement new product features
- Consulting departments on data, analysis and ad-hoc requests
I am in search of Product/ Data Analysis jobs. I have a great desire to develop skills and work with the with professionals and masters, gain experience on real projects, knowledge and experience.
Position: Data analyst
Category: Data Analyst
Experience: 0 years | English: upper


My work experience consist of: work at cafe, as a waiter, bartender, once I worked abroad in Germany at food factory, and almost 2,5 years in a bike shop as a salesman( it was really small, only 7 people work there, and that’s why I was very multitask worker). Then I realise that I wanna grow, and develop myself, that why I decide to change my job.
I don’t wanna do same type of work every day, I ready to solve some difficult, logical tasks.
Position: Data analyst
Category: Other
Experience: 8 years | English: upper

–  SQL for Analytics certificate from 26.01.2021 (Robot_Dreams)
–  Data Analytics Specialization certificate from 11.02.2021  (SkillFactory)
– Negotiations with clients (sign contracts)
– Sales funnel analysis (sales dynamics)
– Generating reports for clients  and reports automation
– Finding ways of income maximization and  customer retention through feedback from partners (questionnaires, workshops, meetings) and consumer behavior analysis (activation funnel analysis, conversion)
– Interaction with other departments (Product, Sales and Marketing teams)
–  SQL Analysis
– Report preparation and its automation
– Visualization of key metrics 
– Working with a large information database in a structured, disciplined manner
Position: Data analyst
Category: Data Science
Experience: 2.5 years | English: fluent

I can do different complexity analyses of business indicators of companies.
NPS analysis, customer segmentation, RFM analyze and sales patterns to improve the company’s KPIs, AB tests, create ad-hoc reports. 
Created SQL queries of different complexity to get data from different tables.
Created dashboards to analyze key business indicators using PowerBi, Tableau, Zoho Analytics.
Managed work with developers and clients directly on the projects’ tasks
Position: Data analyst
Category: Data Science
Experience: 1.5 years | English: fluent


On my last position I was writting SQL scripts for creating fact and dimensional tables, getting data from DB Redshift. WE had tracking system Snowplow. Also I was creating and optimizing reports in Tableau and Metabase. I was creating tasks in Airflow for ETL processing.
Python (anaconda, matplotlib, seaborn, numpy, scikit - learn,  pandas). I have written scripts and functions in financial mathematics for studying purposes. 
OOP, decorators, descriptors - I know more theoretically (wrote a couple programs using OOP)
During studies I have worked in a team of 4 members on BI project in Tableau and ML project customer churn prediction 
I have worked in ARPM (Advanced Risk and Portfolio Management - studying platform) and:
- was revising the exercises and the theoretical materials of the financial book;
- was creating slides using TeX editor;
- was using special mathematical software MATLAB and Python to develop programs to perform mathematical functions;
- was having presented findings at group meetings;
- was working with GitHub
Position: Data analyst
Category: SQL
Experience: 8 years | English: intermediate


- Preparation of monthly and weekly reports on the direction of the B2B;
- Preparation of monthly and weekly reports on the direction of the mass market;
- development and adjustment of new reporting in SAS/SQL;
- preparation of presentation materials for the steering committee;
- setting WEB reporting;
- Formation of reporting from SCR systems.
Position: Data analyst
Category: Data Analyst
Experience: 9 years | English: upper

Current workplace:
-	Automation reporting system
-	Implantation Microsoft Power Bi
Previous workplace:
-	Implantation work with VBA at calculations business cases
-	Improved accuracy of forecasts
First workplace:
-	Implantation regular marketing reporting
Product analyst
2022 — today
- Standardization of analytical approaches
- Development of a dashboard system with key factors in business.
- Make a product research

Data analyst
 2018 — 2022
 - Construction of the reporting system (Power bi)
 - Development of a dashboard system with key factors in business.
 - Forming hypotheses and their testing
 - Analysis and explanation of anomalies in customer behavior   and sales
 
Senior Sales Analyst
 2017 — 2018
 - Calculations of business cases.
 - Sales forecasting
 - Preparation of regular reporting

Marketing Analyst
2014 — 2017
 -  Monitoring competitors
 -  Preparation of regular reporting
 -  Preparation and analysis of  on-demand reports
 -  Analysis of marketing activities impact on sales.
Position: Data analyst
Category: Data Analyst
Experience: 5 years | English: intermediate

Built analytical infrastructure from a scratch.
Product Data analyst with strong digital marketing background.
Experienced in building analytics ecosystem as well as operating marketing campaigns

My main fields:
• Data Analysis and Visualisation
• Building wide range of standalone dashboards
• ETL
• Product metrics crreation and analysis
No bureaucracy, good conditions for professional growth, new knowledge through interesting tasks, professional team.
Position: Data analyst
Category: Data Science
Experience: 1.5 years | English: upper

- 99% of distributor's sales data accuracy during 2019 and 2020.
- successfully developed and implemented set of KPIs to evaluate performance of field sales team and distributors, analyzed them and conducted monthly meetings to present them.
- created over 30 digital questionnaires for field sales team via SQL, developed analysis and reporting based on their results for business and sales.
- personalized and automated big part of these questionnaires, notifications and tasks for field sales team via SQL.
- digitilized and automated the procedure for passing the introductory training for field sales team, as a result of which the passage time was reduced from 3 hours to 30 minutes for one person.
- developed 9 mobile reports using SQL and JavaScript for the field sales team.
- conducted 7 educational live trainings on the use of the field sales force automation software in Ukraine, also prepared instructions and training materials.
- due to support and improvement of field sales force automation software satisfaction with its usage increased from 60% to 87%.
- successfully implemented new part of sales force automation software (Managers Module) , which significantly simplified the work of field sales managers and decreased workload from 40 min to 15 min for each outlet Store Check.
- board of directors award for the best project of 2019 (field sales digitalization).
- reports development based on SQL databases data.
- checking the quality of distributors' data and it's improvement through automation and reporting improvement.
- development and tracking of new KPIs for the field sales team and distributors.
- automation, digitalization and personalization of field sales team working process through support and improvement of field sales force software.
- development of mobile reports for the field sales team using SQL and JavaScript.
- development of SQL queries, scripts and procedures.
Position: Data analyst
Category: Business Analyst
Experience: 0 years | English: 

Predictive analytics, recommender system.
R, Python, Machine Learning, Statistics, SQL, Linux, MapReduce
Data analysis with Big Data.
Position: Data analyst
Category: Data Science
Experience: 1 years | English: upper

Bachelor degree in computer science(KPI)
Genesis IT-School of Analytics
Coursera data science courses
R
Python
SQL, NoSQL
Data structures and classical algorithms
Maschine learning algorithms 
Hadoop
Math&Statistic
Good communication skills
Fast learner
Java
Google Analytics
I want to try one of these areas: consumer analytics, signal processing, computer vision, game analytics, credit risk management, marketing, fraud detection, product analytics
Position: Data analyst
Category: Business Analyst
Experience: 0.5 years | English: intermediate


R,  SQL, basic knowledge of C/C++, Good knowledge of math and statistics, Excel, Experience in industry and finance sectors,  5 years experience as an analyst (Big4)
Passed 6 courses of Data science specialization at Coursera (Data Science Tools, R programming, Getting and cleaning data, Exploratory data analysis, Reproducible research, Statistical inference). Last three courses - Machine learning, Regression models and Developing data products - would be finished by the end of June
Professional growth, interesting and challenging projects/tasks
Position: Data analyst
Category: Data Analyst
Experience: 5 years | English: basic


Sales analysis, customer base segmentation, product cluster analysis. Creation of interactive dashboards with the main metrics: income, margin, profit, expenses, asset value, etc.

Analysis of product balances, identification of deficits and surpluses, demand forecast for the purchase of goods, creation of an optimal distribution model.

ABC XYZ analysis, creation of models to determine the optimal customer groups for marketing activities, which also include various reporting systems.

Analysis and forecasting of the financial result in the short, medium and long term. Participation in strategic planning of enterprise development.

Data visualisation with Power BI.
Position: Data analyst
Category: Data Science
Experience: 2 years | English: fluent

Miratech
Took over tasks previously performed by two Data Analysts;
Automated most of the regular tasks using VBA macros and Python;
Provided 3 weeks long Basic Python scripting course for Data Analysis in English and Russian languages

Yellow Stone
Proposed and realized a solution for automating typical actions performed during analysis
Automated all monthly reports, previously done manually in Excel, using Python
Sourcing Data Analyst
Miratech
Tasks and Responsibilities:
- Building analytical reports in MS Excel using SQL, Power Query, and VBA
- Writing Python Scripts for various daily tasks
- Working with Microsoft SQL Server using SQL Management Studio
- Team coordination and tasks assignment
- Communication with PMs from all company's projects and Top Management

Product Data Analyst
Yellow Stone
Tasks and Responsibilities:
- A/B testing analysis, product metrics monitoring, and issues investigation using Python, Excel, and SQL
- Building and automating reports and monitorings using Python
- Python back-end development of internal analytical services
- Writing MySQL and PostgreSQL queries using MySQL Workbench, pgAdmin, and Python modules
Looking for a project with interesting and challenging tasks and a potential for professional growth.
Position: Data analyst
Category: Business Analyst
Experience: 0 years | English: intermediate

I have won a marketing research contest from one wide known company which specializes in this.
I would like to learn everything else I need fo this job by doing.
SPSS, Excel, Statistica.
I study full-time in a university, that`s why I need an internship or part-time job with a flexible schedule.
Position: Data analyst
Category: Data Analyst
Experience: 8 years | English: fluent

Routine automation, query optimizations, new SQL-based reports plus VBA automations
SQL (CTE, window functions, correlated queries and so on), VBA, Python 3.6, MS Excel (PivotTable, PowerPivot, PowerQuery, Marcos), MS Access, Java 8 core, Python 3
Development opportunities and interesting tasks.
Position: Data analyst
Category: SQL
Experience: 9 years | English: intermediate

During my work in the ukrainian bank I have reached these achievements:
1. Improvement of marketing campaigns gave double growth of sales (loans, credit cards, overdrafts) via Cross Sale (currently 70% of retail sales).
2. Efficient deposit campaign gave +6% growth of the whole deposit portfolio in October’14 (up to +40 mln USD).
3. +30% annual usage of credit cards due to customer insight analysis (up to +3.5 mln USD).
SQL, R, SSRS, Excel, Access, VBA
I want to have a position of a data analyst.
Position: Data analyst
Category: Business Analyst
Experience: 3 years | English: intermediate


SQL, Tableau, R language, Excel, Data mining, Data analysis, Predictive models, Statistics, BI SAP
Interesting difficult tasks, professional development
Position: Data analyst
Category: SQL
Experience: 3 years | English: upper

•	Find and develop key customers. 
•	Customer base grow up to 50 %
•	Customer satisfaction growth 30%
•	Delivery punctuality development  up to 90%
SQL, Unix, Project managenent, CRM, Jira, PHP, Azure, Mongodb, Python
Interesting projects in agile environment
Position: Data analyst
Category: Data Analyst
Experience: 2 years | English: upper


Strong skills in PHP7, SQL, 
Experienced in MS SQL, MS Power BI,  SSRS.
Python for Data Science (Pandas, Matplotlib, SciKit-Learn) basics
Knowledge of Linux, Jupyter, Git
Undestanding OOP, MVC, RestAPI, JSON, XML

Creating reports with SSRS, data visualisation with Power BI, completing custom requests.
Data Analysis/Manipulation/Aggregation.
Working with different Data Sources.
Position: Data analyst
Category: Python
Experience: 0 years | English: intermediate


The project was about predicting the quality of air in Nairobi and Dar salaam, I used python and pymongo database to extract data and loading, visualization, predict and machine learning aspect using python. My role was fully working on the project forecasting on the quality of air in both Nairobi and Machine learning. I want to improve my skills through your internship and employment services and also the teamwork with the company to achieve their goals
Position: Data analyst
Category: SQL
Experience: 5 years | English: fluent


T-SQL, Tableau 8, Python

1Y experience in support of bank reporting tool over different geographies. Analyzing/modification of SQL code, using Python 2 as a SQL code generator. ETL tasks maintenance, OLAP cubes inspection, setting up daily tests on Azure VM.

1Y experience as BI analyst in desktop apps distribution company. Developed dashboards through SQL queries and visualization via Tableau. Automatized data gathering from sites via web scrapers written on Python 3.

3Y credit risk evaluation experience in bank member of european banking group (RWA, EaD, PD/LGD, IFRS provisions).
Position: Data analyst
Category: Data Analyst
Experience: 2.5 years | English: upper


Understanding business needs and its processes through our
data
Applying this understanding and knowledge of data to help
making final decisions on implementing new tools and
services
Preparing reports and presentations for senior managers and
other key stakeholders.
Discovering and documenting market specific use cases,
giving product demos
Helping with gap analysis of market needs vs existing product
offering
Working with the product owner on defining mid-term delivery
priorities
Building spreadsheets for the needs of multiple departments
using SQL and Pandas (Jupyter)
Writing SQL procedures and keeping them running regularly
using Gitlab and Airflow
Analysing the effectiveness of the conducted A/B tests
Analysing the conducted campaigns
Building models and reports on the effectiveness of models
using different ML and visualization tools
Creating informative and easy to use\understand Dashboards
and funnels using Tableau
Completing other various tasks
Position: Data analyst
Category: Other
Experience: 4 years | English: intermediate


VBA, SPSS, Markdata, Arianna, MS Office, SQL

Analyzing datasets
Weighting and aggregating arrays in SPSS Statistics
Providing new algorithms (Specially using Excel, VBA)
Presentation results
Making detailed reports
I be able to work with challenging tasks and use cutting edge technology in working process. Also, I expect to professional growth, friendly team, adequate management.
Position: Data analyst
Category: Data Analyst
Experience: 5 years | English: fluent

•	Collecting outstanding debts from clients and achieving 40% of the teams’ monthly collection target to ensure positive cash flow.
•	Negotiating payoff deadlines or payment plans by 10% daily.
•       Scheduled regular staff training to enhance product knowledge, improving customer service from 2-star to 5-star in 6 months. 
•	Created spreadsheets to effectively balance transactions and merge till reducing overage and shortage by 50%.
With over 5 years of work experience in the roles of sales, operations, customer service across different industries, telecommunications, banking, and financial technology, I have developed skills such as customer service, handling inquiries, customer relationship management, audit, reconciliation, problem-solving, presentation skills, project management. Also, I have competent computing knowledge and skills, with extensive experience using Microsoft Office applications including Word, Excel and PowerPoint, Power BI, Tableau, SQL, Internet, and social media. I am focused on contributing to the continuous improvement of services. 

Clearly able to communicate and work with a broad range of individuals in varying positions. I pay attention to details and am reliable with an excellent work ethic. I am quick to pick up new skills and eager to learn from others. Also, I possess planning and organizational skills, with the ability to multi-task and prioritize work. I am responsible, dedicated, punctual to work, and emotionally intelligent.
Growth, work-life balance, wonderful colleagues