Nina A. BI Engineer
Data Analyst (DA)
Summary
- Data visualization expertise with Tableau and Power BI
- Strong knowledge of PostgreSQL and MS SQL
- Easy-learning and goal-oriented with good teamwork skills
- Responsible, communicable, and creative
- Advanced English
Experience
BI Analyst
05/2018 – now
Responsibilities:
- Data collection, processing, and aggregation from multiple sources
- Designed, implemented, and delivered reports based on business requirements
- Reporting schema building, data modeling, and visualization via Power BI. Report’s description, conclusions writing.
- Participating in team planning sessions.
- Providing data and analysis in support of the company’s initiatives and projects.
- Managing the timely flow of business intelligence information to senior managers and users.
- Leading small projects from scope definition through to execution and implementation.
- Report automation, data update automatically on a daily basis
Project Management & Analytics
12/2015 – 02/2018
Responsibilities:
- Prepared reports for Sales, PR, and HR departments
- Managed and implemented an internal CRM system for the sales team
- Managed internal company projects
- Company performance analysis
Project & HR Manager
12/2008 – 02/2015
Responsibilities:
- Grew developers' team from 10 up to 60 people (all stages of the recruitment process)
- Developed a full-cycle onboarding program for the Ukrainian branch
- Implemented and managed corporate events and celebrations, team buildings, etc
- Developed an internal CRM system
Projects
Net of stores (USA)
Responsibilities:
- Data extracting, cleaning, and preprocessing (store names, many fields connected to certain stores, not preprocessed data)
- 30+ dashboards visualizing (sales splits by store, product, date, sales costs, and profits dynamics, etc.)Power BI
Technologies: Power Query, Python, Power BI
Financial Indices Forecasting (USA)
Responsibilities:
- Data analytics based on processed data (correlations, season indices) – Power Query, Python
- Dashboard’s preparation
- Poetry Contest (UA)
- Data extracting, cleaning, and preprocessing
- Analytics (participants’ distribution by age, degree, location, sex, etc, word frequency analysis (NLTK))
- Visualizations (pie-charts, histograms, pivot tables, etc)
Technologies: Power BI, Power Query, Python
Education
National Technical University of Ukraine «Igor Sikorsky Polytechnic Institute»
2008
Kyiv Natural Science Lyceum No. 145
2003
Courses,Trainings
Power BI Basics, Udemy
2018
Introduction to SQL, Pluralsight
2017
Python basics, Prometheus
2019