lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Senior Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper

Predictive model for subscription (after registration) to suggest trial. Conversion rate to purchase grew from 5% to 8%, 87% of users predicted to buy made subscription

Dashboard for UAMs to highlight campaigns predicted to be not successful. At least 30% less unprofitable ads campaigns

RFM-segmentation and offer system. Conversion rates grew on 2-15% depending on the segment, ARPPU grew on 7%. And gamma-gamma LTV-predicting model, based on RFM segments, accuracy 88%, recall 85-95% depending on LTV-cluster
I use data to grow business.
Accomplished Data Analyst with a passion for delivering valuable data through analytical functions and data retrieval methods. My experience helps companies advance by helping them to develop strategic plans based on data, predictive modeling and findings.
Bringing forth a proven track record of analyzing complex data sets and serving as a strong advisor.

Experience:
• Lead Data Analyst, Core5 (GameDev)
• Lead Data Analyst, Playrix (GameDev)
• Data Analyst, Avanta (Dating Mobile App)
• Data Analyst, Velcom (TeleCom)
Stack: Python, R, SQL, PySpark, ML, Tableau/DataStudio/Datalens, Amplitude/SWRVE/Firebase/Adjust

Event tracking design
Ad-hoc and research tasks
ML models for churn, LTV, purchase, etc. predicting
Users segmentation
AB-testing (general AB-tests, bootstrap, CUPED)
Dashboards
I’d like to help project become more successful, using data, so I don’t want to make research to implement data-based decisions.

I’m waiting for interesting research tasks and also ML-tasks, and understanding that Data Analyst is not the interface to database :)

It’s more preferable for me to work at product company (not outsource)
Position: Senior Data Analyst
Category: Data Analyst
Experience: 11 years | English: upper

I grow from position Junior Analyts to position Head of analytical department. I am responsible for supporting the analytical and technical work of big department in the bank (more than 200 employees).
Continuous improvement of work process and work skills.
I work last tvelwe years as a business analyst/ data analyst in ukrainian banks. I have a position Head of analytical department. In my team are 10 employees.
My main Responsibilities:
- Development of work strategy and it's сontinuous improvement
- Development of corporate reporting process
- Design and calculation of employee motivation program and KPI system
- Development of reporting forms
- Presenting summary reports to BoD and stakeholders
- Team work management and training of young employees

Mostly I use MS SQL Queries, MS Access and MS Excel.
Apply my analytical skills and help managers in making data-driven decisions. Learn how to use more modern data analysis tools.
Position: Senior Data Analyst
Category: Data Analyst
Experience: 6 years | English: intermediate


- reporting in Power BI \ Report Builder (SQL + DAX)
- development of automated processes and reporting using Python tools
- experience in writing complex queries (MSSQL, T-SQL)
- working with various APIs for data extraction and integration with existing processes (Python)
- implementation of complex ETL flows (Python)
- experience in website development for internal information processing (Django)
- some experience with ML models development for sales forecasting
- support of marketing campains
- development of process performance assessment metrics
Position: Senior Data Analyst
Category: SQL
Experience: 5 years | English: intermediate


Responsibilities as a Product analyst, data discovery analyst in GameDev company:

Regular monitoring key project metrics;
user activity analysis, making recommendations for improving the balance and gameplay;
monetization activities analysis and making recommendations for their improvement;
writing technical tasks to develop trackers for tracking project data; 
hypothesis testing;
development and analysis of thematic monetization campaigns on projects;
calculation of balances of game events;
development of user clustering parameters;
RFM analysis, defining the boundaries of segments for different groups of users;
A / B tests planning and analysis; creating dashboards (Tableau)

Technologies: Tableau (experienced user), SQL (experienced user), Python  (basic skills) / R (experienced user), Excel (expert),
Position: Senior Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


Rovenma A.S (2016-2017) - Junior Business Analytic
- I worked 1 year at Rovenma as Junior Business analytic.  I have participated to Project which company has agreement government. Project was relevant e-commerce . My duty was to obtain  data from DWH by SQL then analysis this data to using  Excel and Power BI. Also create connect between DWH and BI tools to automation all dashboards.
Yelo Bank 2018-2020 - Data Engineer
-- I had  worked 2 year at Yelo Bank  as DWH/BI developer. As long as I worked in the Bank I got knowledge about Bank Products and Payments.I was making ad hoc reports by SQL .While I was working at Yelo Bank I was participated Cash Back project that I was collecting data as appropriate for structure of DWH and bring those data by ETL to Database. At the same time I was preparing regularly reports at Oracle Bi Publisher for stakeholders that they might track cashback business process by reports. In this time I was using PL-SQL and OBIEE as well as
Oracle BI Publisher for reports

Kapital Bank 2020-2021 - Data Analytic Expert
-Kapital Bank situated in Baku which is one of the biggest Bank of Azerbaijan. I attend to Bank at Corporation-SME department as Data Analytic.
 I was member of  Data Management squad and i have participated  project it was called 360 - Customer View project.
My duty was to create relational datamarts also create Dashboards all data on Tablaeu .It was helped stakeholder to get right decision by dashboards. Thats Why firstly Iwas meeting with stakeholders to define business requirements.  I was gathering data from various channel and create datamarts on DWH then make connect between dwh and Tableu.
   Kapital Bank 2021-present  - Chapter Lead Data Analytic
I am responsible to obtain quarterly and yearly KPI data and analyzing them. Also  I am responsible for managing data systems and ensuring information accuracy to support business operations and requirements. I am ensuring daily to data quality and integrity.
Position: Senior Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent

- Analysis, configuration of database and generation of the Text
Correction segment of NLP model application for governmental
sector based on azerbaijani language with SymSpell in Python and
PostgreSQL tools
- Modeling a book recommendation system with cosine similarity
methodology and web scraping tools
- Simulation system of Covid-19 infection with the random generation
of the data, implementation of like-real conditions by pandas and
visualization by Tableau, Power BI etc.
- Statistical analysis and predictive calculations of Employment and
Agricultural sector of Azerbaijan Republic; report presentation and
coworking with Employment Agency of Azerbaijan Republic
Senior Data Analyst with experience in data mining and statistics
such as data quality assessment, probability, standard deviation,
regression, correlation and comparing analysis within PostgreSQL,
PL/SQL and Oracle SQL (DDL, DML and SQL analytical functions).
Confident knowledge in Python - numerical computing (NumPy),
data processing (Pandas), data visualization (Matplotlib), ML and
basics of DL (KNN, decision tree, SVM) and interaction with SQL
database (SQLAlchemy). Knowledge in visualization tools as Tableau
and Power BI, JasperSoft Reports and Server - such as creation of
interactive dashboards and metrics reporting, analytics instruments,
charts, LOD calculations etc.
Position: Senior Data Analyst / Analytics Engineer
Category: Data Analyst
Experience: 4 years | English: upper

1. Scoped out and managed checklist tasks in the company to ensure a smooth post-acquisition integration
2. Built data analytics structure in a rapidly growing startup by setting SQL best practices, standardizing existing definitions, and improving test coverage rate  
3. Hired & onboarded 13 new hires to the team walking them through the systems and best practices
Finance:
- Analyzed datasets using Python and pulled out insights to build a weekly, monthly, and quarterly presentation
- Provided reports to the senior management to facilitate new clients' onboarding
- Developed complex SQL queries for testing financial calculations and a Root Cause Analysis
- Set up jobs to identify weaknesses of the product functionalities

Data & Analytics:
- Built reporting infrastructure using SQL in platforms such as dbt Cloud, and Snowflake
- Set up tests for data models to spot outliers and flag suspicious cases
- Created internal as well as external BI dashboards in Looker, Tableau & Mode

Coordination:
- Hired & onboarded 13 new hires to the team walking them through the systems and best practices
- Communicated with Business Stakeholders to ensure projects requirements were clear and timelines were kept on schedule
- Machine learning
- Object-Oriented Programming
Position: Senior Data Analyst / BI Developer
Category: Data Analyst
Experience: 5 years | English: fluent


- Providing data analysis support including but not limited to data cleaning, data processing, data analysis, and data visualization 
- Using data modeling practices to analyze sales and create suggestions for strategic and operational improvements and changes
- Supporting the development of interactive dashboards for data visualization (Power BI), data platforms and automation tool for data processing (R)
- Analyzing data from MySQL Database to provide business insights
- Managing team with 7 analysts
Position: Senior Data Analyst, Business analyst
Category: Data Analyst
Experience: 7 years | English: fluent

I have accomplished some of data analyst bootcamp. 
I used data analyst skills to increase user acquisition rate.
Senior Data Analyst at ING Group
Preparing data for risk modeling
Data analysis and preparation of BI reports
Data analysis in terms of quality and suitability for building / monitoring risk models
Business processes understanding, description and modelling
Analysis of internal and external regulations and preparation of documentation on this basis
Data structuring and data processing for risk analysis and risk modeling
Calculation of PD/LGD/EAD on the basis of regulatory requirements
Credit risk vintage analysis to evaluate the credit quality of a loan portfolio
Analysis of Risk Appetite parameters
Stress tests with different economic scenarios
I am looking for challenging data analysis project. 
I would appreciate flexible working hours.
Position: Senior Data Analyst / Business Analyst / BI Engineer
Category: Data Analyst
Experience: 5 years | English: fluent


- Meeting with clients to thoroughly grasp their business requirements and meticulously analyzing datasets, leading to the creation of engaging visualizations within interactive dashboards.
- Undertaking the maintenance of the Tableau server, managing storage, user access, and job scheduling for Tableau data sources.
- Playing a crucial role in the risk scoring project by deeply analyzing data to unearth trends and insights, thereby offering valuable guidance for strategic leadership decisions.
- Enhancing data quality through the implementation of diverse data validation techniques and adeptly identifying anomalies within the data.
- Participating in building the Data Warehouse, Data Marts, enabling to get quick insights from data, and designing ETL / ELT pipelines from multiple data sources using (SQL, DBT, Python & Apache Airflow, Snowflake)
- Detecting numerous instances of fraud by comprehending business flows and process requirements. This contributes to cost reduction and the prevention of erroneous payments through methods like Data Quality Tests, NLP, and text analysis.
- Conducting regular meetings, both daily and weekly, to meticulously assess the alignment of business processes with data products. Effectively communicating findings with stakeholders.
- Streamlining data and generating SQL and Excel reports alongside Tableau dashboards. Further automating routine reports using Python scripting.
- Efficiently minimizing time spent on various tasks by creating Data Applications that offer instant access to vital information
Friendly environment and further opportunities to grow!
Position: Senior Data Analyst, Business Analyst, Junior Data Scientist
Category: Data Analyst
Experience: 3 years | English: fluent

Just along 2022 wrote over 500 final SQL complex codes to fulfill requests 
Participated over 20 business improving processes solutions
Love sport (ran several marathons, play volleyball ...)
Like intellectual time spending, table games
In 2018 started tablegames club in Kiev
Have great communication skills
Skillsets:
-Proficient in Excel (pivots, ODBC, infographics etc) 
-Expert SQL (Teradata, postgre, MS Server) (SQL, MySQL, T-SQL RDBMS knowledge)
-B2.1 English CFE
-Expirienced DCL, DDL, DQL Query coder
-Excelent at  Improvment, automation, maintainance processes related to DB
- Expert analytical skills (data analysis, paternts research, making hypothesis, finding best solution) 
- Great communication skills
- Intermidiate at business analysis 
uncommercial experience
-BPMN 2.0, SCRUM, KANBAN
-Aware of A/B testing
-Improving at python, machine learning, neural network for systems

What are my results in previous teams?

- CRM analysis, determination of segments, finding certain paterns and making best solution to increase business efficency
- SQL data base manipulation and maintanance (teradata, postgre, fastload)
-Successfully wrote dozens of scripts that were covering business needs for internals departments
- Communicating with different company teams to improve marketing strategy 
- Automation processes finding best ways to cut time spent on maintaining processes
What i seek in future? 
Working with passionate team that pursuit future but with fun chill atmosphere
Myself, i want to do dirrect impact on improving business strategy that ll lead to increasing income and servises worldwide
I don`t want be junked in 24/7 codewriting, i want mix of coding and communicating (idealy mix of data and business analysis)
Position: Senior Data Analyst / Data Lead
Category: Data Analyst
Experience: 5 years | English: fluent

Creation of fraud prevention model based on KNN
Full scale metric creation 
Delta LTV models
Behavoiour analysis models
Business wide dashboard creartion
Data ingestion and pipeline creation
Analyzed data to identify trends and recommend solutions
Organized data to improve efficiency and accuracy
Created data visualizations to communicate findings
Reviewed data to ensure accuracy and completeness
Tested data to identify errors and potential improvements

Used stack: 
Pipelines: dbt, ETL
DWH: Big Query, AWS, Redshift 
Databases: Snowflake, Postgres, Mongo
Ingestion: Heap, Segment, Rudderstack, AWS S3
Development: Python, SQL
BI Tools: Tableau, Mode Analytics, Looker, Hex.tech, Redash
Position: Senior Data Analyst / Data Scientist
Category: Data Analyst
Experience: 5 years | English: fluent

•Senior Data Analyst / Data Scientist at Team International:
-Developed ML models optimizing ad campaign (avg. monthly spend >$10M) metrics: CTR & Visit rate increase > 80%, Viewability rate increase > 20% while maintaining sufficient impressions # and inventory diversity.

-Built in-house A/B testing framework supporting 15+ metrics, producing comprehensive experiment reports with stylish visuals. Time spent on experiment results analysis decreased by over 60%

-Segmented ad Campaign keywords lists & intent data using NLP approaches, the solution was used to assess whether campaign is coherent, set-up in best possible way and could target the right audience. Pairing the solution with recommender system in order to propose changes to account/keywords list allowed to make campaigns more consistent and to reach better audience.

-Created 20+ dashboards for decision-makers to assess key campaign metrics, inventory health, and pacing. Implemented rule-based alerts.

•Data Analyst at Vodafone Ukraine:
-Automated reporting processes for the entire department by making transition from (semi-)manual reports to Power BI dashboards and scheduled Python scripts which generate Excel/pdf reports, reducing report-related workload by over 66% and minimizing human errors.

-Improved Analytical model behind "Network Quality Improvement Projects" (deciding which base stations to upgrade based on network quality & financial parameters), resulting in a more than 20% increase in average return on investment per base station over a span of two years.

-Utilized Deep Packet Inspection data to analyze mobile internet usage and presented actionable insights to management regarding the impact of triggers such as 4G launch or Covid on mobile traffic consumption patterns.
Data Analyst with more than 5 years of experience in extracting insights from terabytes of in-house data, preparing actionable reports for decision-makers, building ETL pipelines and using ML algorithms to solve business problems.
Position: Senior Data Analyst / Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


My duties and responsibilities include:
-	Building algorithms to merge, manage and extract data from different data sources such as OLAP cube and Google BigQuery to supply reports to colleagues and customers.
-	Training ML models such as Churn Prediction, Early VIP detection, Fraud Prevention and Recommendation Systems.
-	Working on Dynamic Value and Product Segmentations.
-	Using ML tools and statistical models to answer business questions.
-	Visualising the data to make trends and patterns easier to understand by colleagues and customers. 
-	Working closely with business to identify the issues and providing data driven solutions.
-       Working on Fraud Detection Models
Position: Senior Data Analyst / Engineer
Category: Data Analyst
Experience: 10 years | English: fluent

Latest one - created and implemented AWS-based data warehouse solution for iOS/Android including:
- automated ETL jobs between S3 and Redshift to keep the warehouse up-to-date with minimum manual labor
- marketing attribution model using several third party attribution data (merging sources into single data model, dealing with raw data ETL's and data warehouse data consistency)
- pre-calculated tables for most frequently used entities for cohort and time-series analysis: user, acticity day, daily cohort etc.

Have CRM implementation experience in a role of a solo Data Engineer (iOS and Android platforms, live product with no server shutdown, legacy data backfill etc.)

Previously - leading role in a team responsible for new product users acquisition: design and development support of 30+ product AB-tests, coaching of new Data Analyst assigned to a team, developed a set of dashboards from initial data model creation to final visualization. 
During last few year: successful seamless integration of mParticle service to live iOS app in a role of Data Engineer.

In general: having background as Technical Game Designer worked as Data Analyst in several leading Game Development companies. Main qualification covers marketing and product data analytics. Also have some experience in related fields: Data Engineering, ad hoc reporting and BI dashboards development. Minor experience in scientifically challenging tasks: regression models, multi-dimensional clusterization, neural networks.
Nine years of Data Analysis experience in Game Dev and Marketing domains of which 4 years in Lead Data Analyst role in small-to-medium data teams.
Working experience in several European countries, different company sizes (from start-up to big corpo), different production cultures (classical hierarchy, horizontal, squad/tribe model). Data engineering experience.
Prefer AWS or GCP tech stack but also ok with new technologies.
Currently looking for some long-term interesting product data analysis project or management experience in small-to-medium teams. Data Science or Engineering assignments are also a point of interest (though my profile is closer to Data Analysis domain).
Position: Senior Data analyst, finance, reporting
Category: Data Analyst
Experience: 10 years | English: upper


The main stream is regular reporting. but also responsibilities include the implementation of irregular tasks Key areas of work: • transformation of reporting from Access to Oracle • calculation of key banking indicators (NBI, NII, comissions, operating results, bonuses ets) • performing irregular tasks according to the customer's needs • analysis of results and making rational proposuals • Experience using SQL, including complex queries from multiple data sources; automation of reporting using SQL,Excel (using Power query, pivots, formulas, VBA etc) • work with data quality
No bureaucracy!
Position: Senior Data Analyst / Product Analyst / Power Bi Developer
Category: Data Analyst
Experience: 5 years | English: fluent


Data Modeler, Data Analyst, Power Bi Developer, Data Engineer with 5+ year experience in Banking, Fintech, Financial and Public Sectors. Highly skilled Senior level Professional with experience in building data systems, data modeling, and data analysis. Proficient in a variety of tools and languages, including SQL, Power BI, Python. Strong problem-solving and analytical skills, with a focus on delivering valuable insights from data. Excellent communication and interpersonal abilities.
Position: Senior Data Analyst/ Product Analyst/ Team Lead
Category: Data Analyst
Experience: 6 years | English: intermediate

• Migration of the new billing to the DWH structure 
• Successful experience of construction and support a database
• Significant optimization of speed workflows
•	Excellent data analysis/data architect
•	Migration billing/reporting 

•	Analysis of large amounts of information/new data sources
•	Successful experience of building a database
•	Making architectural decisions and writing technical specifications
•	The ability to find patterns in the studied data sets
•	Develops testing plans and protocols
•	Workflow creation skills
•	Optimize SQL queries skills

•	Management of a small development team
•	Working as part of a team
•	Coordination of data processing activities between analysts and developers
•	Managing the process of processing business customer requests for a group of developers 
•	Monitoring compliance with development standards and reporting deadlines
•	Understanding of business and business processes
•	Developing/presentation product presentations 

•	Experience of the organization and design of IT-solutions
•	Migration of the new billing to the DWH structure 
•	Support of the main traffic and historical tables, data-marts, products and subscribers dimension 
•	Support of the main financial report of mobile operator 
•	Optimization of calculation of the main traffic and historical tables, data-marts
• Support of heavy loaded sources
•	Great experience in automation
•	Expert in performance tuning
•	Contributed to the development of products
Big project, a lot of data, drive