Position: Business Intelligence Developer\Data Analyst
Category: SQL
English level: fluent
Years of experience: 11


Relevant experience

(Jan, 2022 - Present)
BI Developer
- designed multiple Power BI reports for Marketing and Finance
departments from scratch
- developed multiple ETL pipelines for different sources
(MySQL, MS SQL, Apache Kafka etc.) using python and SQL
- participated in designing a DWH and SSAS Tabular model
- implemented python-based churn prediction model that
provided 70% accuracy

(Apr, 2020 - Dec, 2021)
Lead BI QA Engineer 
- managed team of 4 BI QA Engineers (recruitment, onboarding,
identifying team goals, tasks and load management)
- provided data quality assurance for BI system with more than
100 reports and 500 users
- built multiple automated DQ checks and Power BI based
reporting to store, view and analyze DQ checks results (auto
alerting included)
- performed logic validation for multiple KPIs requested by
Marketing, Finance and Sales teams
- implemented unit tests for checking metrics' calculation logic

(Apr, 2018 - Mar, 2020)
Business\Data Analyst 
- provided data expertise and developed multiple analytical
reports for stakeholders, Marketing, Finance and Sales
departments
- gathered business requirements, put it through a validation
process and developed multiple key KPIs with further
ownership
- built customer clustering and provided further analytical
support to a Marketing team with implementation of strategy
of "moving" certain types of customers to a more profitable
clusters, which increased company's volume and profit by
approximately 15%
- analyzed sales agents behavior and its correlation with
customer's behavior and sales themselves. Provided analytical
insights for choosing better telephony provider