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

1) Conducted several studies that led to the implementation of local currency processing in South Africa and Nigeria. This helped to diversify the market where our product was present and significantly increased revenue;
2) Conducted the analysis of one of the most large-scale and influential split-tests during the existence of the project, in which a big and totally new feature was added to the product. This had a dramatic impact on our financial metrics at first, so with the help of many people I had to refine the test many times before it eventually showed an increase in revenue and conversions.
Product Analyst at "QUARKS TECH (Genesis)", September 2021 - present:
1) Full cycle of work with the A/B tests: creating hypotheses, checking coverage and data validity, launching the split, monitoring it, analysing the results, closing the test
2) Writing SQL-queries and alerts, working with aggregations and views via Bitbucket;
3) Creating graphs, sheets and dashboards in Tableau, publishing them online;
4) Monitoring the key metrics and making recommendations for marketing specialists.

Junior Analyst at "Together Networks Limited", January 2021 - June 2021:
1) Analysis of big data, researching important insights and building the strategy;
2) Audit and monitoring of fixed tabular data on a daily basis;
3) Organising the creation, verification, validation and editing of the reports;
4) Assessment of quantitative and qualitative differences between data sources. 

IT Intern at "Philip Morris Ukraine", July 2020 - December 2020:
1) Managing the launch of the project, that improves user experience;
2) Working with SQL-scripts for various purposes and within different projects;
3) Creating an online training course as a part of the team;
4) Testing the sites in different environments.

I want to broaden my expertise in analytics and grow with the product, that I will be working on. As for the skills, that I want to improve, they are the new instruments for visualisation of the data, creating more "working" hypotheses and communicate with all the members of the team in order to understand more deeply how does the product work as a whole.
Position: Product Analyst
Category: SQL
Experience: 3 years | English: upper


·	set up of data collection for analyzing user behavior on a web site; writing of technical tasks for developers; 
·	creating dashboards in the Google Data Studio; in Python using Dash and Plotly and deploying ones in the Google Compute Engine;
·	developing scripts using Google Apps Script and Python to automate processes; to parse, treat, or deliver data between systems;
·	creating data model in the Google BigQuery and maintaining one in Google Cloud Platform (Compute Engine, Cloud Function, App Engine, Cloud Scheduler and so on);
·	building reports using SQL in the Google BigQuery;
·	conversion rate prediction with machine learning algorithms;
·	process automation for CSM and Sales teams
Position: Product Analyst
Category: Data Science
Experience: 5 years | English: upper


Supervising the process of synchronizing data from various systems, introducing a single analytics system. (Implemented)

Automation of the process of collecting data from different sources (MS SQL, GA, FB, Adwords, CPA, etc.) into a single consistent product.

Design and development of metric systems for collecting data on user behavior on the site and in mobile applications;
Interaction with the development department to introduce additional functionality to the site, conduct A / B / N tests;

Configuring services for sending, receiving, and analyzing data (Google Cloud Platform, Google Analytics, Tag Manager, BigQuery, Firebase, Appsflyer).

Maintenance of existing analytical reports (marketing budget, PnL)
Creation of business cases of promotional activities in the context of distribution channels, analysis of their effectiveness.
Position: Product Analyst
Category: Data Analyst
Experience: 2 years | English: upper

• Delivered the AB test, which increased Revenue by 8 percent on its audience.
• Worked inside a product team, managing the full cycle of experimentation:
    * insights searching,
    * ideation,
    * validation of the product hypotheses,
    * design, supervision, and analysis of the AB test,
    * presentation of the test results and decision-making.

• Conducted research, which described customer needs based on their search statistics. 

• Carried out other research, in particular, for quick validation of business ideas.

• Developed Python project for statistical analysis of AB tests and data quality control. Created other small
Python projects for reporting and data processing.

• Promoted new best practices in the analytics team (AB testing analysis best practices, data validation
standard, Reforge experimentation practices).
Position: Product Analyst
Category: Data Analyst
Experience: 2.5 years | English: upper


Worked with databases using SQL, and described analytics events before implementation in the database. Controlled the whole process of data analysis, and made recommendations regarding changes in the content. Made KPI analytics reports. Analyzed changes in the resources balance of the game. Created report templates for the analytics team. Used analytics platforms such as DevToDev and AppsFlyer.
Implemented A/B level testing in the project.

• KPI analysis
• Level balance analysis
• A/B testing
• Resources balance analysis
• Analysis and improvement of monetization
• Creation of report templates
• Work with databases using SQL
• Work with analytics platforms
Position: Product Analyst
Category: Data Science
Experience: 0 years | English: upper

August 2020 - October 2021, Laba Group
Product Manager at EdTech, robot_dreams project
Responsibilities:
•	Topics analysis, creation of the portraits of the audience and the briefs for the program development.
•	Design of the courses’ programs and content in the cooperation with the lecturers.
•	Analyzing students’ feedback and courses metrics, preparation a plan of changes based on the collected information.

What I'm proud of:
•	Developed 12 courses’ programs, including courses such as Product Analytics, BI Analytics, Python for Data Science, Mathematics and Statistics for Data Science, Time Series Forecasting.
•	Launched 23 courses streams.
•	Improved the index “Percentage of the students graduated the course” by 15-25% for courses which repeats.
•	Developed a unified online knowledge base for sales managers, which allows to store all information in one place and quickly find the necessary data by keywords.
•	Adapted new Product managers of related projects.
Work experience
August 2020 - October 2021, Laba Group
Product Manager at EdTech, robot_dreams project

I worked on the launch and development of online courses in programming, analytics and data science. I was responsible for the concept and program of the courses, the development of materials and the quality of the user experience.

Experience with SQL, Python.

English is at the upper-intermediate level.
I want to grow and develop in the field of product analytics: explore metrics, look for insights, create hypotheses and work with the team to improve the product.
Position: Product Analyst
Category: Data Analyst
Experience: 3 years | English: upper


Work with the development of the web project, data collection and analysis to improve the product, the full cycle of split tests. Maintaining Google Analytics (GA), Google Tag Manager (GTM), working with databases and visualization, Phyton (Partially). 
Building data models, including predictive ones.
Position: Product analyst / Data analyst
Category: Data Analyst
Experience: 1.5 years | English: upper

BRAZY
Migration to Google Analytics 4.
Correct data transfer from the site to analytics systems is
configured.
Implemented Google Analytics API v4 for data collection
(python)
Prepared comprehensive analytical reporting using the
Power BI visualization tool.

Bini Bambini:
A-B tests were analyzed, the results
of which increased the conversion to
activation and the total income of the
product.

MEDICAL AND LEGAL COMPANY:
Developed and analyzed a
retargeting system, with the help of
which ROI was increased by 50%

New audience segments were
analyzed, which subsequently began
to bring an additional 10% of the
company's total income
Product/web Analyst
Brazy (Entertainment)
October 2022 to March 2023 (6 month)

Product Analyst
Bini Bambini (game development)
November 2021 to August 2022 (10
months)

Marketing Department Specialist
LLC "MEDICAL AND LEGAL COMPANY"
(Medical consultations and support)
May 2019 to October 2021 (2 years, 6
months)
I expect the employer to provide opportunities to participate in interesting projects, a decent level of remuneration and the creation of comfortable conditions for productive work. A very important point I can single out is the opportunity for personal development (courses, English) and within the company.
Position: Product analyst, Data analyst
Category: Data Science
Experience: 8 years | English: fluent

- Successfully executed and supervised numerous advisory projects for 200+ clients from different industries in Europe, Ukraine and CIS

- Developed a number of in-house and client-facing automated tools for valuation, data visualization, and general routine optimization

- Maintained and improved an internal SQL database

- Led a functional stream in a full-scale on-site business transformation project, acted as a project ARIS architect
For the past 8+ years I’ve been working as a business consultant at EY (Ernst & Young) in Kyiv, Frankfurt a.M., and Hamburg. Though my primary focus lied in the field of tax and reward advisory, I actively participated in cross-functional projects of different scale.

Due to my fast learning skills I gained comprehensive knowledge in business performance improvement, process reengineering and organizational design, as well as due diligence and assurance matters. As a rule, my role combined continuous project management and direct delivery on scope and ad hoc tasks, and I was engaged in several simultaneous projects at a time.

Research and analysis were always my biggest passions in work, and I excelled in data-driven tasks involving modelling and automation. Recently I realized I want to shift my professional focus from consulting to industry, and I am primarily focusing my effort on a challenging analytical product-oriented role. I’m highly confident that my proven track record of successful diversified analytical projects and extensive client-facing experience, as well as solid autodidactic mindset and exceptional attention to detail will make me a valuable team asset.

My CV and reference letter provide additional details of my professional qualifications, and I really look forward to discussing mutually beneficial cooperation.
Position: Product analyst / Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: intermediate


2+ years of experience as Product Analyst. Strong skills in mathematics and statistics. Passion for working with data, attention to details.
 On my previous work, I monitor product performance. Conduct customer analysis to understand the segmentation, behavior, and more. Perform A\B testing, etc.
Position: Product analyst/Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper

- Have proven working experience with data, Google Analytics, Tag Manager, and SQL. I also know some Python and statistics.
- Have reduced the time spent on the existing reports by 8-10 times, automating a lot of manual work.
- Implemented Looker (Google Data Studio) in work and developed automated dashboards. Redesigned methods of reporting and simplified data collection.
- Optimized website event tracking
- My scientific area of interest is recommender systems and their impact on people. That is why my university thesis project was related to the construction of recommendation systems (algorithms and metrics) and some exploratory data analysis using Python libraries.
- I have a recommendation about my achievements on Linkedin from my collegues.

HAVE CERTIFICATIONS IN:
1. Product Analytics: key metrics at Robot_Dreams
2. Python programming at Stepic: Bioinformatics Insitute
3. Google Analytics for Beginners at Google courses
4. Machine Learning at Stepic: Omsk State Technical University
5. SQL (Basic) Hackerrank
Currently, I work in a digital marketing agency with many clients, and for each of them, I perform analytical tasks such as:
1. The definition of critical metrics and commercial conversions, which uses to monitor the effectiveness of advertising campaigns.
2. Setting up events through Google Tag Manager to track conversions to the Google Analytics system and tracking heat maps on the main pages
3. Track critical metrics for key clients every week.
4. Direct data analytics, monthly and ad-hoc, which include:
    - identification of the most and least effective campaigns and creatives for each of them
    - analysis of user behavior on the site
    - analysis of the quality of traffic from each advertising campaign
    - identifying causes of abrupt changes in metrics
    - identifying overall trends and patterns in data
    - conclusions and recommendations for the client
5. Creating automated reports with data from different sources using BI tools such as Looker with SQL queries
Please do NOT offer me Sales / Business Analyst positions. 
I'm also not interested in "excel only" positions.
Position: Product analyst/Data Analyst
Category: Data Analyst
Experience: 11 years | English: upper


Skilled data analyst with more than 10 years of experience in analytics. Experienced in extracting, interpreting, analyzing and visualizing data.

SQL, MS Excel, VBA, Power BI, Tableau, Power Query, MS Office, OLAP, Power Pivot, Google AdWords, Google Analytics, Google Tag Manager, Facebook Ads

Market analysis (competitor’s check, customer’s survey, negotiations with top clients and suppliers, analysis of market data from different (open and/or buying) sources)
Customer analysis (segmentation and cohort analysis, funnel analysis, RFMD, NPS)
Web analysis/E-Commerce (CAC, Retention/Churn rate, ROI, ROAS, LTV, visits, orders, AOV, CR, Repeat customers, Margin, Sales), A/B testing

Forecasting, Financial analysis, Category Management, Pricing, Budgeting, Statistics, Negotiation and Presentation skills
Position: Product Analyst /  Data Analyst
Category: Data Analyst
Experience: 4 years | English: pre


- Raw data analysis in Bigquery/Postgres/AWS;
- Collaboration with PM/PO/CPO for hypothesizing / user behavior research;
- Looking for ways to improve the product;
- Analyzing product funnels.
- Setup and analysis of A / B tests (web + app);
- Data visualization with Tableau/Data Studio reports;
- Matching Front Data & Back Data
Position: Product Analyst / Data Analyst
Category: Data Science
Experience: 0.5 years | English: fluent

Ex-Co-Founder of a Food Delivery Startup; was responsible for strategy, financial modeling, communication with investors; sold my share before the launch.
1. Ex-Consultant at a Big4 (Corporate Finance Advisory); resigned after being awarded a scholarship for studying at a US master's program in Economics (graduated in Jun 2020).
2. Three internships during studies: Strategy Consulting, Economic Policy, Finance.
3. Student competitions: CFA IRC in Ukraine 2018 - 4th out of 36 teams; Ukrainian Tax Debate 2018 - 1st out of 6 teams.

Basic skills: R, SQL, Tableau, Power BI, Excel, PowerPoint.
Fluent languages: English, Ukrainian, Russian.
1. Product with high growth potential.
2. Strong and result-oriented team. 
3. Data-driven approach. 
4. Ready for long hours.
Position: Product Analyst / Data Analyst
Category: Data Analyst
Experience: 2 years | English: pre


Hi there,

My core expertise is working with databases and building visual dashboards.
I have deep math and statistics background to work with Big Data.
Analytic mindset to find new opportunities and points of growth for business based on Data.

-Analyzed the performance and calculated sales bonuses of the sales and procurement specialists
-Created monthly reports and dashboards in Tableau and Microsoft Excel indicating KPIs of the company and evaluating the sales, profit, supplier, supplier division, customer, product, and product category based on the data exported from ERP software and CRM.
-Inventory monitoring and analysis of the products

SQL, statistics, math, Data Analytics, dashboards, English, Excel, Java Script, PowerBI, Tableau

My job is my passion, i believe in Data and would like to join a team which think same

I would be happy to help your company fall in love with analytics.:)
New experience and team focused on results and development.
Position: Product Analyst, Data Analyst, Analytics Team Lead
Category: Data Analyst
Experience: 4 years | English: upper


Analytics Team Lead / Product Analytics Team Lead (since Apr 21) in product companies. Key responsibilities:
- Team management, mentoring, and hiring
- Long-term planning and goals set for the analytics team
- Reporting system for marketing and monetization (includes LTV predictions) creation and improvements using Tableau/Airflow/Python
- Product analytics: hypotheses generation and testing, product features analysis, working with metrics frameworks

Data Analyst: (Mar 2019 - Apr 21)
Key responsibilities:
- Data visualization and reporting systems creation
- Reports automation, data pipelines
- NLP (regression model)
- Ad-hoc researches

Tools: SQL, Python (Pandas, NumPy, Airflow, Sklearn, Scipy), Amplitude, AppsFlyer, Tableau, Google Sheets
Position: Product Analyst, Data Analyst, Data Quality Scientist
Category: Data Analyst
Experience: 1 years | English: upper


Experience:

- A/B tests of sales and customer service quality (Analytics)
- Analytics for SMM and HR department (Analytics)
- Analysis of user behavior and churn prediction using (Analytics  + ML)
- Estimates of the probability of presenting under a bank guarantee (Analytics  + ML)
Position: Product Analyst, Data Analyst, Game Analyst
Category: Data Analyst
Experience: 2.5 years | English: upper

Google Data Analytics Professional Certificate.
Work with the launch and analysis of more than 170 Ab-tests.
10 IT-related articles written for DOU.ua.
I hold regular mentoring sessions for people who want to start a career in data analytics.
From August 2021
Mobile game development company, product analyst.
• analysis of user behavior in the product, making recommendations for product improvement based on data.
• formation of requirements for data collection, aggregation and processing.
• improving marketing and product analytics tools, automation and data visualization.
• development of A / B tests (calculation of sample size, timing, assessment of the strength of the effect, definition of key metrics and logic of distribution by user groups).

April 2014 – May 2021
Digital-agency, project manager, analyst.
• analysis of customer activity in social networks and the media field;
• visualization of data obtained from external sources;
• development and implementation of a strategy based on analytical data;
• creating reports based on work with the client;
• management of a team of journalists, designers, operators;
communication with the client.

July – October 2012
Poltava National Technical University, civil engineer.
• conducting experiments on the foundations of buildings;
• calculation of loads on the foundations of buildings;
• load visualization;
• forecasting possible damage.
Position: Product analyst / Data analyst / Head of Analytics
Category: Data Analyst
Experience: 5 years | English: intermediate


As Product analyst / Data analyst:
Generating hypotheses about the improvement of key metrics.
Data analysis using MS SQL, BigQuery, Python, etc. 
Design and analysis of A/B tests. Сohort, RFM, etc.
Writing applications to automate calculations using Python, GCP, Airflow.
Creating dashboards (Data studio, Grafana, Metabase). 

As System analyst (GameDev, Telco):
Participating in ETL Big Data process as analyst: describing the data sources, data models and data transformations for developers.
Investigation of incidents
Technical requirements writing.
Ad-hoc reports forming using HQL (Hive Query Language) and Python (simple PySpark functions, Pandas).

As Business analyst:
Communicated with clients gathering information and clarifying task’s requirements.
Consulted developers and designers.
Consulted and build relationships with stakeholders.
Writing technical specifications.

Skill to work in team.
Product/Data analyst - 4.5k$
Lead/Head of Analytics - 5k$
Position: Product analyst,  data scientist
Category: Data Science
Experience: 8 years | English: upper


Product improvements using data-driven approach. Experience: ridesharing, B2B in fintech, B2C, marketplace experience. Advanced AB testing, forecasting, modeling, NLP. Analytics team project coordination.
Ambitious non-trivial tasks, high degree of freedom
Position: Product Analyst / Data Scientist
Category: Data Science
Experience: 10 years | English: fluent

* Creating user segmentations and personalizing user experience based on past behavior
* Modelling of user engagement and estimating LTV
* AB testing, measuring the effect of new features, creating automated tools to monitor test results
* Driving development of new features and implementing better strategies for interaction with customers
* Recruiting and managing analysts from different countries
Customer analytics. Personalization. Monetization. Machine learning. Multiplayer game economy. Data architecture. Solving real business problems. Driving revenue and profit.
Product with lots of customers. Preferably startup. Preferably stock options/RSU.

No betting, gambling, adult content.
Position: Product Analyst/ Data Scientist
Category: Data Analyst
Experience: 5 years | English: upper


Product Analyst (Weblium)
10/2018-6/2020

•Infrastructure management
•Python ETL (get data from MongoDB, CSV, parsing of web resources)
•Preparing reports ad-hoc for a Product Manager and CMO
•A/B test management
Tools: MongoDB, Python, Amplitude, GA (Universal), Optimizely, Google Sheets

Data Analyst/Data Scientist(NDA, iGaming)
10/2020-9/2021

•Cross-product infrastructure management (2 apps, a  marketplace, streaming platform, inner 3 media resources)
•Predictive analytics and cluster analysis (linear regression, gradient decent, k-means) 
•Preparing reports ad-hoc for a Product Manager and CMO
•A/B test management
Tools: MongoDB, SQL, Python, Amplitude, GA (Universal & 4), Optimizely, Google Data Studio, dbt, Grafana, Power BI

CEO (uScore.me)
6/2021-1/2022
•Management of uScore Analytics agency (>20 clients including Finmap, Workee, Autenti, Ucraft, etc)
•Development of own ETL/Reverse ETL platform
•Creating customized predictive analytics software for SaaS companies (Gradient descent, BG-NBD)
Tools: Pandas, NumPy, Lifetimes, Mixpanel, Amplitude, GA (Universal+4), Google Cloud, Facebook Ads, Linkedin Ads, Google Ads, Revenuecat, AppsFlyer