1+ years of working experience.
Knowledge of internal business processes of any kind of industry.
Experience with BI visualization tools e.g. Tableau or Power BI, Qlik.
Basic understanding of Data Warehouse and ETL Principles.
English skills sufficient for fluent spoken communication.
Strong analytical and problem solving skills.
Sense of aesthetics.
Experience with relational databases and knowledge of SQL.
Education or practical skills in Mathematics and Statistics.
Knowledge/awareness of Agile and SCRUM working practices.
Working in one of the four largest IT companies in Belarus.
Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota.
Competitive compensation that depends on your qualification and skills.
Career development system with clear skill qualifications.
Flexible working hours aligned to your schedule.
Offices located in city center.
Options to work remotely.
Corporate medical insurance covering services of private and public medical centers.
Corporate discount program ensuring savings on various products and services for our employees and their kids, including but not limited to education, entertainment, insurance, food delivery, etc.
English courses right in our offices.
Corporate parties and events for employees and their children.
Internal conferences, workshops and meetups for learning and experience sharing.
Gym membership compensation, corporate sport competitions cybersport included, corporate football, basketball and volleyball teams.
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate.
Developing visual reports and dashboards using BI software.
Designing mockups of dashboards and creating Proof of Concept presentations.
Designing narrative presentations for clients about their Data Value Chain and BI solutions.
Interviewing stakeholders to formalize business needs in the requirements documentation.
Assisting with metrics definition and design for various perspectives.
Analyzing business processes to indicate the crucial Data Points for measurement of business goals, customer experience, client behavior.
Analyzing the Data sources and designing the Data models for the business processes performance review.
Structuring data and writing specifications for ETL pipelines.