lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Head of analytics
Category: Other
Experience: 3 years | English: intermediate


- Building analytical processes from scratch;
- planning and control budget for affiliation;
- building a model for data collection, processing and visualization;
- creation of dashboards;
- change and implementation of processes based on data analysis;
- writing instructions and employee training;
Position: Head of analytics
Category: Data Science
Experience: 11 years | English: fluent

ADDITIONAL LEARNING COURSES AND CERTIFICATES
•	Digital Marketing Fundamentals (by Google Digital Workshop, 2019)
•	Basics of Programming in Python (Prometheus.org.ua, online course, 2015)
•	Machine Learning in Matlab (Online MOOC course, Coursera platform, 2014)
•	Statistical Learning in R (Online MOOC course, Stanford EdX, 2014)
•	Refresher course “Foreign Language for Professional Communication (English)” (2012)
•	Course "Java Fundamental" (Oracle Academy program Advanced Computer Science, 2011)
•	Study of Polish language at Polish Technical Department of DonNTU (2002-2004)

PERSONAL QUALITIES
•	Excellent interpersonal and organizational skills
•	Excellent analytical and problem-solving skills
•	Responsible and self-organized 
•	Striving for excellence, strong desire to develop and grow in professional and personal sense
•	Fast learning on the go
•	Openness to new ideas and concepts
WORK EXPERIENCE
- Close interaction with customer team, identifying client problems and needs, gathering of requirements, coming up with solution, setting tasks to developers, providing the collaboration of all members of the project, product managing (Data Analytics, Data Visualization, Campaign Management, Marketing Automation Projects)
- Analyzing of site traffic sources, identifying the causes of changes in traffic volume, estimating the efficiency of A/B tests and other changes and their influence on KPI metrics; design and creating of dashboards in Tableau Software 
- Business Intelligence and Data Mining projects management, mentoring,  analyzing of CRM data (MS Dynamics), customer segmentation, preparing daily/monthly reports/presentations, reporting on sales and marketing activities, analyzing promo effectiveness, creating reports in PowerBI 
- Export/Import data, managing of ETL processes, SQL queries, Pivot tables, preparing daily/monthly reports/presentations (Excel/PowerPoint) on the activity of the enterprise, analyzing the dynamics of sales, balance at warehouses, monitoring of competitors activity, department managing
Interesting, important and complex projects

- Higher technical education (PhD, Computer Science)
- Development of mathematical models for data analysis
- Good knowledge of Mathematical Statistics, Data Mining Methods
-	Proficiency in Matlab, MS Excel, MS PowerBI, Tableau, SAS Customer Intelligence Studio, SAS Visual Analytics, SQL, R, Jira, MS Project
-	Creating technical documentation, manuals, presentations
-	Upper-Intermediate English
-	Just a very positive person:-)
Position: Head of Analytics
Category: Data Analyst
Experience: 8 years | English: intermediate


8+ years of experience in a product/marketing analytics role for e-commers, betting, gaming pojects;
— 6+ years of experience as Head of Analytics;
— Experience with building an analytical deparnment and analytical infrastructure from the scratch;
— Strong knowledge of internet marketing and KPIs;
— Experience with Power BI, Data Studio, SQL, R;
— Experience with 3rd party product analytics systems (e.g. Google Analytics, AppsFlyer)
Position: Head of Analytics
Category: Product Manager
Experience: 4 years | English: fluent


AntiChurn/Retention 
• successfully built retention platform from scratch (architecture + infrastructure, product logic, monetization, activity generation, legal policies, etc.);
• continuously increasing monetization from retention channels through A/B/n tests and technical enhancements (deliverability issues, IP/domain reputation, etc.);
• successfully changed product strategy from prolonging session time to increasing session numbers;
• launched multiple ML/SL projects;
• maintaining relationships with external partners.

E-commerce:
• built e-commerce product;
• set up effective processes in e-commerce/agency department;
• promotional activities: competitions, discounts and discounts policies; • new means of communication on a website: stickers, virtual gifts.

Application:
• MVP launch (Android + iOS);
• product vs market fit evaluation;
• competitors research;
• product design;
• resolved multiple legal/administrative issues: bank accounts, application stores negotiations, etc.

Skills:
- Python: advanced knowledge of Python for working with data (databases, statistical learning, EDA), web-servers (flask
framework), bots, queues. Mostly OOP. 
- SQL: advanced knowledge of SQL for working with relational and columnar databases. 
- Tableau: creating custom reports for Tableau Online and custom analysis and stories with Tableau Desktop. 
- Statistics: A/B testing, Multi-armed bandits, Statistical significance, Sample size calculation, Central Limit Theorem,
- Docker - working with Python, Golang, Scala through Docker.
- Spark - parallel ETL jobs
- NoSQL Databases (MongoDB, Neo4j, ArangoDB)
- Golang: Simple web-servers + telegram bots
- ML: mostly Classification and Regression problems
Position: Head of Analytics
Category: Data Analyst
Experience: 10 years | English: upper

I have 6 years of experience in various analyst roles, and 3 years as a team lead with a track record of building strong teams that help the company reach goals.

My achievements include - building strong teams of analysts from zero, setting up analytics infrastructure from zero, automating company reporting, helping product and marketing teams increase revenue and improve the product based on data insights.
Also, I have experience working with cross-functional teams ( growth marketing and product-market-fit teams)
• Hiring, leading and mentoring a team of BI specialists
• Developing product tracking and analytics architecture with Privacy by Design and Zero Knowledge principles
• Creating business plans (financial models) in Excel (VBA) for company's goal setting and financial forecasting
• Analyzing and formalizing key customer personas based on GFK research
• Helping product and marketing teams determine Northstar metrics and product-market-fit metrics 
• Helping the company reach goals with actionable reporting (SQL, Redshift, Tableau Desktop, Tableau Online)
• Finding product usage insights based on customer segment with tracking consent
• Holding weekly BI Insights presentations to update the management team on key findings, insights and results
• Planning, launching and analyzing A/B tests, making decisions
• Creating automated real-time reports for internal and external usage via Tableau Online
• Increasing conversion rates by analyzing product funnel performance and suggesting improvements
Position: Head of Analytics
Category: Data Analyst
Experience: 7 years | English: upper

PhD in Computer Science
Last goals:
- built analytics team from scratch in two international companies;
- created company analytics environment (reporting, analytical tools, DB architecture);
- built recomendational models for different needs (product optimization, collaboration with partners etc.);
- built prediction models (LTV, user behaviour etc.);
- created NLP algorythm for users segmentation;
- full general reporting automatization;
- built mentoring processes inside the team, organized workshops for other company departments;

Other experience:
- databases optimization;
- apps events setup;
- hypothesis generation and testing;
- handling all company KPIs (OKRs, PnL etc.);
- handling documentation (knowledge db, roadmaps etc.);
- 3+ years of team leadership (5-12 FTE);

Tech stack:
BI tools: Tableau, Data studio, PowerBI
Other: GTM, Amplitude, Google Analytics, Firebase
DBs: Vertica, MySQL, PostgreSQL, Clickhouse, GBQ, Amazon web services
Programming languages: SQL, Python

In IT started from Product analyst. Know all about product metrics and their improvment, users’ behavior, product testing.
Believe in data. Worked with mobile applications (ios, android) and web/mob platforms development. For me Analytics and BI - great compass for business and my role to provide quality of it to chose the best way and reach main goals.
Position: Head of Analytics
Category: Data Analyst
Experience: 7 years | English: upper

Successfully implemented a customer segmentation model, resulting in a 30% increase in customer retention and personalized marketing campaigns.
Led the development and launch of a predictive maintenance solution, reducing equipment downtime by % and saving the company.
Received the "Analytics Excellence Award" for outstanding contributions to data-driven decision-making and driving business growth.
-Lead a team of data analysts to develop and implement data-driven strategies to optimize business operations and drive revenue growth.
-Utilize advanced statistical techniques and products approaches to analyze large datasets and extract actionable insights.
-Collaborate with cross-functional teams including product, marketing, and finance to identify opportunities for improvement and drive data-informed decision-making.
-Develop and implement data governance and data quality standards to ensure accuracy and reliability of data used for analysis.
-Present findings and recommendations to senior leadership, translating complex data into actionable insights to support strategic decision-making.
-Led the implementation of a data analytics platform, integrating multiple data sources and enabling centralized reporting and analysis.
-Developed and maintained automated dashboards and reports to track key performance indicators and provide actionable insights to clients.
-Lead and inspire a team of analysts and data scientists to drive data-driven decision-making throughout the organization.
-Develop and implement advanced analytics strategies to improve operational efficiency, enhance customer experience, and drive revenue growth.
-Collaborate with cross-functional teams to identify opportunities for innovation and leverage data to gain a competitive advantage.
-Stay up-to-date with the latest trends and advancements in analytics, machine learning, and artificial intelligence to continuously improve analytical capabilities.
Position: Head of Analytics
Category: Data Analyst
Experience: 11 years | English: upper

• Built from scratch a full-fledged analytical department;
• Improved a ROPO model that combined online marketing data with offline purchases, which allowed reallocation of 50% of the marketing budget based on complete ROI data;
• Headed a cross-functional team (3 designers, 1 researcher, and 1 data scientist) and developed more than 40 AB and MV tests with their help;
• Developed and implemented a gamification system using data from Google analytics on the behavior of the most loyal cohort of users, thanks to which it was possible to increase the LTV of new users in the first three months of their activity;
• Developed a recommender model using e-commerce data from the BigQuery database on related purchases of users for the previous six months, which allowed to increase the average check by 5%;
• Led a team of 7 analysts and implemented new business processes, frameworks, and procedures, which allows increased the team's velocity by 40%;
Over 10+ years of experience in web/data/marketing/game/product analytics in IT.  
Of these, 5+ years as a manager focused on team development and improving employee skills.
 I have successful experience in the following areas:
• Managing a team of 15+ analytics, data engineers, and developers
 • Collecting, organizing, analyzing, and visualizing data.
• Product analysis: features, users (cohorts, patterns, behavior, funnels, flows), health metrics, searching insights/deviations, a/b tests
• Comprehensive analysis of key product/business indicators
• Collaborated with stakeholders to answer business/product questions via data
• Data management/engineering DWH (creating API connects, ETLs)
• Monitoring data quality in data storage, correction of failures in ETLs, jobs
• Development of analytics system from scratch
• Automation of existing reports
 • Evaluation and correlation of dependencies, interconnections
• Analysis of the effectiveness of marketing activities/events
 • Writing analytical conclusions and recommendations
Position: Head of Analytics and Managerial Reporting Department
Category: Data Analyst
Experience: 10 years | English: upper

•	Setting (from scratch) and maintaining company management accounting, the managerial reports formation with a description of business procedures and processes
•	Preparation of the regular financial and analytical reports for shareholders (with Power BI dashboards and visualizations)
• Elaboration the sale units’ reports, their consolidation (170 shops) and formation of external financial statements and internal managerial reports. Plus cases for analytics visualisations for different departments customising with their requrements and needs
•	Budgeting and Statements: BS, P&L, CF. Income and Expenses Budgeting. Dashboards for CEO and shareholders
Experienced and detail-orientated Financial Analyst and Manager successful at controlling expenses by conducting comprehensive analysis of diverse data and making projections. 
Knowledgeable about accounting functions, fiscal requirements and capital expenditures. Skilled in collecting, monitoring and studying data to financial status analysis and business strategies recommendations. Capable of preparing models, forecasting trends and giving reports and presentations. Having 20 years of experience in the Finance and Analytics fields.
Last 3-year experience as Chief of Analytics and Managerial Reporting Department
Position: Head of Analytics and Research
Category: Marketing
Experience: 11 years | English: upper

Teamed up with prominent Ukrainian and international companies - Kyivstar, Vodafone, Lenovo, FUIB, Silpo, MHP, OKKO, Stada and  non-commercial organizations  - Internews Ukraine, IREX, Be-it Health.
Achieved Microsoft Certification: Power BI Data Analyst Associate.
Was a finalist of educational bootcamp of business development "The Long Game" by UCU Business School.
I believe that every piece of information is a valuable puzzle part. So, my role is to connect those dots, discover insights and foster growth through data-driven solutions. 
My approach includes two essential components. First one is streamlining process by guiding research projects from start to finish, adopting cutting-edge technologies like Power BI, optimizing processes to enhance efficiency and cost-effectiveness. Second one is creating an environment that breeds success - nurturing teams and enhancing their performance, sharing experiences.

What sets me apart:
• 10+ Years of Experience: in market, consumer and product analytics in Ukrainian and international research agencies.
• Collaborative Leadership: Guiding teams up to 20 analytics, fostering collaborations, coaching, and developing researchers' skills.
• Efficient Project Management: Managing multiple research projects of broad scope in size and complexity simultaneously - from proposal development to reporting.
Delivering research outcomes for up to 50 clients per month with the team help.
• Problem Solving: Analyzing complex research challenges, identifying trends, translating data into actionable insights, and providing strategic recommendations. Expertise in diverse range of marketing analysis methods (Satisfaction, Loyalty, NPS, Brand Health, Customer experience, Advertising testing, Concept test, Customer segmentation, Customer Journey Map, Mystery Shopping).
• Cross-Functional Collaboration: Collaborating with diverse peers and stakeholders (including CEO, CMO level), driving strategic initiatives within the organization, bridging gaps and ensuring alignment. 
• Process Optimization: Streamlining and optimizing processes, implementing technologies and automation solutions, improving efficiency, reducing costs. 
• Growth Mindset: Constantly seeking opportunities for professional and personal development.

In my future career I see myself continuing to explore data, recognize patterns and trends, striving to make data-driven insights more accessible and impactful for businesses. I look forward to growing as a leader, building teams and connections, and playing my part in the success stories.
Position: Head of Analytics / Data Science
Category: Data Science
Experience: 11 years | English: upper

Built analytics & data science functions from scratch in a product company,
Established data-driven/informed culture,
Worked on and executed the company's and functional strategies as an Executive team member,
Numerous projects in the field of data analysis/science
Last 7 years in the IT product company with ~500 employees (4+ years C-suit position).

Built data function from scratch (5 functional teams), 30+ teammates

Previously: data scientist at big gaming company, marketing analyst - data analysis & visualization, ML (R lang), blogging about data analysis & visualization
Position: Head of Analytics Department
Category: Data Analyst
Experience: 11 years | English: fluent

- Discovered and initiated the solving of the problem with adblock users, which increased the amount of these users from 39% to 14% .
- Built analytics and enabled data driven decisions.
Implemented and supported Split testing system, results: increased conv in first time payments by 30%, decrease time for split tests by 2times.
- Traffic attribution + reports -> -10% CAC due to cutting ineffective marketing campaings.
Head of Analytics
Gravitec, push & emailing service 
Apr 2021 to Feb 2023 (1 year, 10 months)

Deep analysis of the features usage, as the result task backlog optimization of developers.
Unit economics metrics: LTV:CAC. MRR, Churn rate, ARPPU etc. Also implemented LTV forecasting.
Built analytics and enabled data driven decisions.
Implemented and supported Split testing system, results: increased conv in first time payments by 30%, decrease time for split tests by 2times.
Traffic attribution + reports -> -10% CAC due to cutting ineffective marketing campaings.

Head of Analytics 
Esport, WeWatch, e sports startup
Dec 2018 to Mar 2021 (2 years, 3 months)

With the help of iterated split-tests on b2c product increased such key metrics as: average time on the website by 60% and bounce rate - by 25%.
Built a client dashboard for a b2b product and iteratively improved communication with clients. It increased retention rate by 32% and also increased the conversion rate into paid user from the demo page by 50%.
Discovered and initiated the solving of the problem with adblock users, which increased the amount of these users from 39% to 14% .

Martenity Leave
Jun 2018 to Dec 2018 (7 months)

Head of Analytics, co-owner
SmartCredit, fin-tech startup
Jan 2016 to May 2018 (1 year, 5 months)

Built cohort analysis and worked through competitors research. Which helped iteratively improve retention communication and increased revenue by 49% from retention channel.
With the help of multiply series of spit-tests increased funnel conversion of the user with received the loan by 35%.

Head of Analytics, CIO
TogetherNetworks,Cupid PLC, dating
Jan 2011 to Dec 2015 (5 years)

             Jan 2011 Jul 2011 Statistican
             Jan 2012 Senior Analyst
            Sep 2012 Head of Analytics
            March 2013 CIO, Head of Analytics

Building of huge reporting system  - reduced ~50% of time of the whole analytic team
ROI prediction analysis of launched marketing campaigns, reduced ineffective marketing costs and increased year revenue by 1.4M 
Mentoring and managing - 40 analysts and statisticians. Creation of a new analytic team.
Variety of training workshops for all departments of the holding.
Financial Reporting preparation. 
Established balance sheet and cash flow forecasting models, ensuring greater financial control
A job where I can have the opportunity  successfully use my skills.
Interesting tasks
Possibility of growth and personal development at work
Position: Head of Analytics, Head of BI / MIS, Chief Data Officer
Category: Data Analyst
Experience: 11 years | English: upper

2012 - Successfully completed application (tech-economy examination) for a $7 million revolving credit line from the bank

2017-2018 developed analytics team to provide analytical support to large businesses that have operations in three countries (full automation of routine processes, analysts were engaged in analysis, not a monkey job with reports)

2019-2020 successfully closed two rounds of investments with a management team, and the company's valuation increased from $3 mln to $18 mln (as of 2021)
Solid experience in setup, structuring and optimization of complex business processes in international holding companies. Over 13 years of experience in the credit management business in East Europe and Sout-East Asia. 
Executed roles across different departments and levels: call-centre, field collection, data analytics and MIS, investment analytics. The wide experience in operations and analytics gives a deep and complete understanding of the business specifics of the products and services. It ensures the production of quick effective solutions. Applied experience of efficiency increase through the implementation of advanced technologies of machine learning and AI. 

Last project - International Credit Management Services holding (Singapore / Vietnam / Indonesia / India)
Chief Risk Officer, Management board member (September 2017 – May 2022)
•	Methodology development for analytics with a focus on optimizing debt recovery strategies based on target variables (recovery rate, cost of recovery, GP per case, operational funnel optimization)
•	Head of MIS/BI:  development and maintenance of reporting for internal and external customers (reports and dashboards in Power BI, MS Excel, MS SSRS. Level of automation 95%+ )
•	Head of Data: business owner of the DWH, defining data strategy and data requirements for all IT solutions
•	Portfolio and product analytics
•	Profitability/margin control by partners/portfolios
•	NPL portfolios valuation (IRR, NPV, BEP, Recovery and DE / IDE projections, EBITDA of the project) and pricing models for outsourcing partners
•	Audit operational business processes, evaluation of the effectiveness, development and maintenance of motivation systems for the operational divisions
•	Implementation of scoring solutions for debt recovery (client profiling/clustering, deep portfolio segmentation based on application and behaviour data, client journey analysis, cut-off points for deactivation and cost optimization)
•	Economic modelling of business processes, implementation of the champion-challenger approach (A/B testing).
•	Evolving and systematization of processes, trouble-shooting, integrating third-party services into operational processes
•	Managing and evolving the team of 7+ direct subordinates in four different countries.
Work on technological solutions that would make the world better
Professional and well-focused team, who set the direction not follows the stream.
Company with a clear mission and values
Power to decide and to do the right things