lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: BI Analyst
Category: SQL
Experience: 2 years | English: intermediate

End-to-end Power Bi report about TV channel's contents views. It includes connections to FB, YouTube, Web and TV analytics systems. I were creating that report without knowledge about Power BI and APIs, but result was excellent.
Nowaday the main field of my work is Power BI repors implementing for business customers with
any kinds of connections such as databases or online resourses. Moreover I have 2+ year exp. as reporting analyst on the biggest mediaholding in Ukraine
where I worked on creating, automatization and delivering reports for all types of company
units from average employee to CEO.
Instant feedback about my work;
HR support;
Medical assurance;
Lunches.
Position: BI Analyst
Category: SQL
Experience: 6 years | English: upper

Creating a system of reports wich alowed to keep track of everything to do with sales of a business, end showing every hidden corner of the sales process.
Developing datasets for vital reporting combining and structuring data from different sources.
Organising an English speaking club for co-workers.
Retreiving data from databases, running calculations over big datasets and combining datasets to obtain new data suitable for a specific purpose;
Building data models within BI Tools, developing dashboards;
Ideal knowledge of MS Excel, developing calculation forms of various complexity, using pivot tables for investigating data, building charts, developing all kind of reports.

I would like to find a job where I can utilise my analytical skills and creativity in creating most insightful dashboards and visualisations and presenting interesting insights into the data for ensuring best desicion maiking.
My perfect job would be at a poduct IT company, no matter big or small, the idea matters. I would like to be a part of a company with the main idea to bring something good to people, to deliver a fascinating product, that they need to have.
Position: BI Analyst, BI Team Lead
Category: SQL
Experience: 2.5 years | English: intermediate

•	Thorough knowledge and experienced in the whole lifecycle of Business Intelligence:
	•	Gathering requirements, ETL, data processing, SQL, performance tuning
	•	Data visualization (Tableau Qualified Associate certificate)
	•	DWH development based on HP Vertica, Greenplum; experience with Oracle, PostgreSQL, building ER-diagrams (Kimball, Inmon), PowerDesigner, Gliffy
	•	Data wrangling and data manipulation (SQL, Python)
•	Developed BI+DWH for Bank (End-to-End PM from scratch)
•	Leading a team of 4 developers
•	Business analytics of 3 parallel projects (requirements management, business process modeling (BPMN))
•	Strong experience in project management (knowledge of Agile methodologies , usage of Jira, Confluence)
Tableau, HP Vertica, Business Intelligence, Data Visualization, Dashboard Development, Business Analysis, Project Management, Jira, Confluence, SQL, Python
Position: BI Analyst || Certificated Tableau developer || Certificated Power BI developer
Category: Data Analyst
Experience: 6 years | English: upper

Create more than 10 analytics systems.
Create more than 100 dashboards.
Work as Director of Marketing and Analytics Department
Specialist in e-commerce
Specialist in retail
Certificated Tableau developer
Certificated Microsoft Power BI developer
Tech stack:
BA:  Tableau Desktop, Tableau Prep, Tableau Online, Tableau Server,  Google DataStudio, Google Sheets, Azure,  Stich, Azure, Pentaho, PostgreSQL, MySQL, Power BI.

PM: VSTS, Jira, Trello, TargetProces, Monday, Aha, Asana.
I am looking for a big interesting data!

Only part-time and remote
Position: BI analyst / Data analyst
Category: Data Analyst
Experience: 4 years | English: fluent


- realtime reports for C-level data-driven decisions in Google Looker, QuickSight
- analytics of different ad channels, its profit/loss coefficient, lead/sales conversions
- Jira, gitlab
- creating data pipelines for getting, processing, saving data to database
- reports on sales agents performance
- developing dashboards on existing CRM data
- Technologies used: Python, Pandas, NumPy, SQL, Mongo, AWS S3, docker, Google Looker, Google Analytics 4, GTM, Flask, Amazon QuickSight, Amazon Redshift

- developing dashboard analyzing client segments by different features
- developing hypothesis and key metrics and  designing recommendations to improve marketing campaigns and ads configuration
- Jira, Confluence
- gitlab
Technologies used: Python, Pandas, NumPy, SQL, JupyterNotebook

- building dashboard for marketing analysis like GA 
- creating marketing metrics for dashboard(CPA, visit time, cost per each utm_tag/device type and so on)
- analyzing customer journey
- working with Google Analytics, Mixpanel, Tableau
- building prediction model and market segmentation model
- data preprocessing: feature vectorization and normalization
- Jira, Confluence
Technologies involved: Python, Pandas, Keras, SQL, JupyterNotebook
Position: BI analyst, Data analyst
Category: Data Analyst
Experience: 4 years | English: upper

BI developing:
- In 6 months developed 12 dashboards from zero for 3 group of companies (Retail and Distribution);
- Organizing and designing appropriate data warehouse for more than 1 billion rows data;
Data analysis:
• Active participation in stretch planning processes: sales base cleaning, trade activities and promo calculations, demand planning accuracy, forecasting;
• Improved method of calculating Sell In forecast by categories Mars, Wrigley and Skittles: Demand planning accuracy (DPA) – 98%
- Coaching and mentoring BI developers and analysts team (5 members);
- Developing strategic, operational dashboards from zero, using Qlik Sense and Power BI, implementing best practices of data modeling (Snowflake, Star Scheme) and visualizations;
- Importing data from PostgreSQL, MSSQL databases using a query (join, aggregation functions);
- Performing ETL processes at the script part while importing data;
- Organizing and designing appropriate data warehouse using QVDs and daily updating data with task planning (QMC) – Fact tables (sales, orders, stock) and dimensions;
- Creating documentation and guidance of dashboards for users.
Position: BI Analyst / Data Analyst / BI Developer
Category: Data Analyst
Experience: 4 years | English: upper


4 years of experience working as an Analyst, including 3 years as BI Analyst and 1 year as Marketing Data Analyst.

Main Responsibilities as BI Analyst:
- creating and updating reports in Power BI, based on customer requirements
- report automation by transforming from spreadsheet-based one to a fully-automated set of dashboards
- processing big datasets in order to get insights (MS SQL, Big Query etc)
- visualisation data and information, presentation of results
- modelling and describing business processes As-is and designing To-be 
- development proposals to optimise and automate processes

Main Responsibilities as Marketing Data Analyst:
- comprehensively analysis key channel’s metrics to provide recommendations for improvements (revenue, traffic sources, best timeslots, RPM, playback-based CPM, audience behavior) 
- maintaining weekly/monthly reporting of channel performance 
- developing Strategy of YouTube-channels (advertising budget forecast, compiling media plan, market and competitor analysis)
- conducting audit and provided advisory on channels promoting
- launch and analysis of the effectiveness ad campaigns
Not interested in crypto/casino projects.
Position: BI Analyst | Data Analyst | BI Developer
Category: Data Analyst
Experience: 2 years | English: pre

Key contributions:
· independently implemented Power BI at two companies;
· organized the work of the control department (development of regulations, instructions, reporting, etc.);
· developed a number of initiatives to improve the control system in the enterprise;
· automated existing and developed new reports and forms, thanks to which the main working processes of the department were significantly optimized;
· implemented a system for assessing the current state and identifying "weaknesses" in the activities of affiliates;
· simplified the mechanism of sale of problem products, launched an analysis of its balances and sales, as a result of which the volume of its sales increased significantly, and the balances of such products in warehouses decreased by 60%;
· reduced the average annual level of receivables by 31%;
· as a result of the agreements reached with fuel suppliers, the fuel discount was increased by 41%, as a result of which the company saves about UAH 500,000 annually;
· reduced the time of consideration of acts of non-compliance with quality, acceptance acts by quantity and quality, claims and complaints from 5-7 to 1-2 days;
· developed a project to collect fees for overdue terms of keeping products in the warehouses of the organization;
· unification of documents at all branches of the enterprise.

Certificates and Courses
· MS Excel: Business Intelligence and Forecasting (graduated with honors);
· MS Excel: Advanced Tools (graduated with honors);
· Practical course for beginners in SQL and PostgreSQL;
· Power BI: from beginner to confident business user;
· Dynamic business data analysis in Tableau;
· Analytics and data science for managers and humanities;
· QlikView for beginners;
· Fundamental Power BI.
Tasks and responsibilities: • design and development of business analysis data model;
• creating specific metrics by DAX/M;
• processing and visualization of data from different sources;
• development and support of analytical reports and dashboards in the Power BI system;
• providing analytical conclusions and suggestions based on Power BI reports;
• advising users on how to work with BI;
• writing instructions for using reports.
Position: BI Analyst, Data Analyst, Business Intelligence Engineer
Category: Data Analyst
Experience: 5 years | English: upper


I have been in the IT industry for more than 4 years. I worked as a Business Intelligence analyst and took part in different projects with Power BI.
My major experience is in Power BI, Excel and MS SQL Technologies.
The scope of my responsibilities include generating reports and presentations on Power BI, doing analysis, creating interactive data visualisations and dashboards, which were used in internal reporting for the whole company and helped the company to make business decisions.
Position: BI Analyst \ Data Analyst \ Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper

•	Have realized project which has already saved ~1 mio EUR for our company;
•	Have implemented two cross-functional projects with classification and clustering methods of machine learning. As a result, it was possible to significantly improve the quality of SAP master data and reduce the load of specialists on ~ 1,6 FTE;
•	Have applied best practices from data science to implement 5 big cross-functional projects using time series regression, classification, clustering methods of machine learning. Also, using Python has significantly sped up the processing of data sets (over 2.5 million records) and improved the quality of statistical analyses, visualization and increased the efficiency of business decisions.
•	Have implemented and stabilized, FI Controlling SAP ERP, in a short time, successfully;
•	Have automated cost calculation reporting which allowed to reduce the load on 30%.
•	Leading budget process, monthly forecasts, and root cause analysis of deviations and proposals to be fixed. Supporting Purchasing & Supply Chain performance. Controlling budget of ~70 Mio EUR;
•	Own hiring, coaching, and developing expertise in a team of 2 managers;
•	Validation and co-lead efficiency projects portfolio ~ 5 Mio EUR. Lead internal process optimization with the vision to achieve greater added value to the business while engaging less effort;
•	Developing and implementation of BI systems (Power BI and MicroStrategy) from scratch. Define and measure KPIs and metrics;
•	Animating benchmarks discussions for General Management, establishing group reports.
•	Conducting presentation of results to Management. Cost analysis, generating process improvement requests and seeking new cost reduction opportunities;
•	Leading a team of financial analysts in order to deliver transparency and reliability in the company.
An experienced and self-motivated professional with a 7-year multinational experience in Management, Finance, FMCG, seeking to leverage my knowledge and skills as Data Scientist through new international experience.
Position: BI Analyst | Data Analyst | Data scientist | Data specialist
Category: Data Analyst
Experience: 2 years | English: upper


A results-oriented Data Analyst with about two years of experience in various industries eager to help optimize processes and improve data quality. Proficient in data analysis tools, an expert in data management, and able to quickly learn new concepts. Skilled in collecting, organizing, and analyzing different types of data effectively. Committed to continuous professional growth in challenging projects.

SKILLS:

•	Data Research, Data Validation, Data Cleaning, and Data Analysis
•	Analyzed large data sets to identify trends, patterns, insights, and growth points 
•	Created reports; maintained datasets  and dashboards 
•	Understanding Of Database Structure and SQL proficiency
•	Gathered and documented statistical information to generate reports
•	Experience with Python, Big Data tools, and Data Visualization tools
•	Proficient in MS Excel, Access, and PowerPoint
•	Strong analytical and problem-solving skills
•	Strong attention to detail and accuracy
Position: BI Analyst / Data Analyst / Marketing Analyst
Category: Data Analyst
Experience: 3 years | English: fluent


I'm a Business Intelligence / Data Analyst with extensive experience in wide range of marketing activities, sports & sales data analytics, sound knowledge of various business domains and good practical foundation of web development.

Analytics:
* SQL (PostgreSQL, MS SQL Server)
* Tableau & Tableau Prep Builder, Power BI, Metabase, Google Data Studio
* Dashboards & reports
* Python + Flask, SQLAlchemy, Jupyter Notebooks, Pandas, NumPy, Matpotlib, BeautifulSoup
* Web analytics (Google Analytics, Google Tag Manager, Hotjar)
* API

Additional Tools:
* git, GitHub, Linux, JIRA, Slack, Trello, Redmine
* HTML, CSS, Bootstrap, JavaScript & jQuery

Sales & Marketing:
* Buying personas, user flow & user stories
* Email-marketing, web-pushes, Telegram bots
* Content marketing & webinars
* B2B SaaS Sales training
* B2C Sales & Sales scripts
* Conversion & Retention
* SEO
* SMM
I'm open to client-facing opportunities with English as a primary language of communication.
Position: BI analyst/Data analyst/Product analyst
Category: Data Science
Experience: 6 years | English: upper

Development and support of predictive models for CRM campaigns: churn, response and propensity models
Implementation of machine learning in BI and CRM
Classification models development : customer segmentation/clustering/ RFM analysis
Conduct statistical studies based on customer data: Market basket analysis/ Next best offer/ Association rules/ ARIMA and etc
Dashboards automation and kpi tracking
Reporting and presentation development
Development, validation and support scoring models: Application/Behaviour/Collection
Development of risk based pricing approach for credit decision-making system
Building analytical team from scratch
data mining - 6 years
predictive modeling - 6 years
classification and cluster models - 4 years
statistical analysis - 5 year
Customer analytics - 5 years
PL\SQL - 5 years
MySQL - 1 year
PostgreSQL -3 years
Tableau - 3 years
SAS Guide - 3  year
SAS Enterprise Miner - 2.5  
SPSS Statistics - 1.5  
Microsoft Excel/VBA - 5 
R - 3 years
Python (pandas/numpy) - 1 year
Complicated and interesting projects. Professional growth.
Position: BI Analyst/ Developer, Team Lead
Category: SQL
Experience: 6 years | English: upper

Work closely with stakeholders to identify their needs/problems, find best solution & implement it;
Work with different areas: ecommerce,  supply chain management, marketing, financial;
Create automatic reports by different tools;
Development and implementation new logic and KPI's for company needs;
Analysis of opportunities and risks;
Train and manage new team members;
Strong knowledge of Excel
Power BI, SSRS, SSAS, QlikView, Data Studio
SQL (MS SQL, MySQL)
Php, JavaScript
Database design for ETL
Good knowledge of statistical analysis
Git
Agile (Kanban, Scrum)
JIRA
Basic knowledge of VBA
Certificate of Google Analytics
I'm looking for data-driving company, where my experience and knowledge will help business to make decisions, achieve goals and work efficiently
Position: BI Analyst/Engineer
Category: Data Analyst
Experience: 3 years | English: upper

My main achievement is to make work done and to bring value for business. 
I developed and supported many reports for different departments of my previous companies using new features
Also in development process my goal is to make job completely automatic with minimal further support. 
Developed new practices to access data
Wrote scripts to access API and made automations (for money and time saving)
DA-100 Microsoft Certificate
My main specialization is a full process of working with data from receiving/scraping to the final visualization and presenting results. That\`s what I\`m doing for around 3 years in different companies with diverse tasks. 
Main hard skills:
- programming skills in R, Python
- Shiny application’s development
- building Power BI reports
- good level of SQL (aggregations, subqueries, joins).  
- MySQL, PostgreSQL databases.
- REST API
- Linux
- pdf scraping
- visualization 

I had projects of downloading data through API, use ODBC packages, wrote UI automation on Selenium, website parser, building different reports. 

Now I want to make more programming work on Python or R as an analyst or data engineer.
I want to get experience in big company with a lot of data. Looking for team work, not individually.Would be better to have a mentor in this team. 
Not looking for Product analytics positions as I don’t have experience in it.
Position: BI Analyst, Financial Analyst
Category: SQL
Experience: 6 years | English: upper


- Reports and dashboards development in QlikSense
- Data Bases development and maintaince on customer activities (contacts, deposits, withdrawals etc.)
- Data migration from CRMs to DWH
- Customer Segmentation on monthly basis         
- Create monthly report for management and shareholders, Collect and check information(from all offices and responsible departments, about : Costs, Salary, Marketing) 
- Create daily Cash Flow report (Plan and control incomes daily, Control payments according offices cash flow projection)
- Make budget and cash flow projection monthly
- PSP reconciliation
- Implementation of CRM system ( worked as project manager) and as a result change and adoption of all business processes
Position: BI Analyst, Power BI Developer
Category: Data Analyst
Experience: 3 years | English: upper

I have a good business background 
- strategy development methodology
- value creation methodology
- business development methodology
all of these instruments were implemented in real cases.
The latest experience:

2018.12 - 2022.07
Product Analyst/Power BI Developer (Business Education)
- Product analysis
- Market and competitor analysis
- Report and Dashboard development (Marketing campaigns, Students performance, etc.)
- BP development

2020.10 - 2021.04 (Retail StartUp)
Power BI Developer
- Dashboards development (Power BI, DAX)
- PostgreSQL queries processing 
- Reports development 

2021.04 - 2022.07 (Coke)
Power BI Developer
- Reports developing
- Improving reports productivity with DAX and Queries
- Data Manipulating
- Reports design development
- ETL w SQL (MS SQL Server) for report development

MBA Student (kmbs):
2021.10 - ...
Master in Finance and Business Analytics

Udemy student:
2020.04 - 2020.10 
- Data Science Bootcamp
- Python for Data Science 
- Machine learning, Data Science, and Deep Learning with Python

2021.06 - 2022.01
- Business Intelligence with Power BI Desktop
- Power BI desktop Advanced
- a job with interesting and challenging cases
- friendly team
- autonomic corporate culture)
- competitive salary
Position: BI Analyst/ Power BI Engineer
Category: SQL
Experience: 2.5 years | English: fluent

Main projects

Operational and financial performance analyzing (Worldwide online retailer)
- Data extracting, cleaning, and preprocessing (store names, many fields connected to a certain store, not preprocessed data) – Power Query, Python
- 30+ dashboards visualizing (sales splits by store, product, date, sales costs, and profits dynamics, etc.) –
Power BI

Analytical Platform for Financial Time Series Cyclicity Analysis
- Developed system for data gathering from investing.com, data transformations, and window
correlations comparison analysis for revealing patterns of the highest similarity to the current indices
dynamics
- using: Postgres, Power BI

Financial Indices Forecasting (Online booking service)
- Data analytics based on processed data (correlations, season indices) – Power Query, Python
- Dashboard’s preparation – Power BI

Social network activities analytics
- Data extracting, cleaning, and preprocessing – Power Query, Python
- Analytics (users’ distribution by age, degree, location, gender, etc, word frequency analysis (NLTK))
- Visualizations (pie-charts, histograms, pivot tables, etc)
- 2,5+ years of BI experience
- Data analysis and visualization expertise with Power BI
- Strong knowledge of PostgreSQL
- Practical experience in data processing, reporting, and ETL
- Proficient in querying data sets using SQL, building and maintaining data pipelines using SQL and Python
- Analytical thinking capabilities
- System thinking, ability to receive, structure, and systemize information
Position: BI and Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


Are you looking for someone to assist you in discovering trends and patterns in your data? Are you looking to maximize business revenue with powerful data insights? Reduce operational costs and time by automating tasks? Or perhaps you want to present your data to stakeholders in the best possible way through data storytelling?

If that's what you're looking for, I've got you!. I've worked with various organizations over the past 3 years as a data and BI analyst. I have helped organizations make better use of their data by providing key insights to help solve their business problems through data analysis. I have performed various ETL operations, queried databases to extract data, designed and automated over 100 interactive dashboards using Power BI, Microsoft Excel, Google Data Studio, and Google Sheets. 

Here's a list of what I can help you with  ;
 Data Collection
 Data Cleaning
 Data Modelling
 Data Analysis
 Data visualization
 Automations
 Data Storytelling and insights communication

Data Analysis and Visualization tools I use;
Microsoft Power BI
Google Sheets
Microsoft Excel 
Google Data Studio

Programming Languages:
 SQL
 DAX
 Python