Position: Senior Business Intelligence Analyst
Category: Data Analyst
English level: upper
Years of experience: 5

1. Created from zero (in cooperation with IT-architects)- Business Intelligence system with dashboards and reports portfolio - two companies
As a result  - reducing of 20% routine work-time of management for getting appropriate business data
2. Created Python web-parser of e-commerce sites - for collecting prices, stock and other data - for price monitoring, assortment check, competitors promo activities analysis, reducing out of stock - thus increasing sales for 10-15%.

Certificates:
1. Microsoft Certified: Data Analyst Associate (Power BI DA-100 sertification)
2. Sisense BI Consultant

Courses :
Coursera :
1.	 Data warehousing for business intelligence:
•	Creation of relational databases, SQL statements (select/insert, analytical elements, cube operators) creation of ERD to design databases, analyzing and normalization of databases;
•	Concepts and skills to design data warehouse and creation of data integration workflows
•	Business intelligence concepts, tools, and applications.

2.	Python for everybody specialization (5 courses - data structures, web scraping and parsing, using Databases with Python)
I have 5+years as Senior BI Analyst, Sales Analyst, Key Account Manager and 8 years in Financial Reporting and banking, 
Skills - Power BI, Tableau, DAX, Power Query, Power Pivot, SQL, Big Query, Python (basic).
Knowledge of DWH, ETL processes, SSAS, OLAP. 

Main responsibilities on current position:
•	Power BI dashboards and reports for different business users in big international SAAS company – recognition efficiency metrics (precision, recall, coverage, accuracy), merchandising reports, price analysis, stock in trade analysis. 
•      Data Engineering responsibilities - building of ETL in Big Query + Python jobs from Git, Terraform usage for versioning control in Big Query.
•      Query optimization and refactoring of quires to reduce cloud costs and  size of data queried (partitioning, clustering)

Previous positions responsibilities:
•	Development and maintenance of sales analytics system in the Department(business analysis, data analysis, data modelling)
•	Python web scraping program for analyzing stock, prices and content via e-commerce (1000 product pages per 5 sites)
•	Building a strong partnership and intense working relationships with key accounts (offline, e-com) - managing accounts sales growth and profitability in line with division's objectives, E-commerce Joint Business Plan creation to implement with clients
•	Financial Reporting preparation (Head of reporting division in bank) - previous place

Seeking for job in Business Intelligence field to help business make strategic and operational decision making process  - efficient and profitable, and turning data into insights