Bachelor’s degree in Computer Science or equivalent IT degree.
Background in data analysis in banking/finance/statistics/accounting etc.
Track record of delivering BI functionality leveraging Microsoft BI stack.
Knowledge of databases and SQL.
Familiarity with data architecture, data modeling concepts and ETL.
High level of personal, work and professional ethics.
English skills sufficient for spoken communication Intermediate level and above.
Experience with Microsoft tools Excel, Power Query, Power Pivot, etc.
Experience with SSAS and SSIS.
Experience with SSRS.
Experience with Azure services.
Demonstrated abilities in data analysis and critical thinking. Understanding of basic concepts of statistics.
Experience with Qlik, Tableau, Salesforce Einstein.
Experience with ASP.NET and OData API.
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.
Work with business and development teams to design, develop and deploy interactive data visualization using Microsoft Power BI.
Maintain and enhance existing BI data models. Develop and administer new data models.
Establish and improve the development, maintenance and configuration of reports/dashboards.
Performing qualitative and quantitative analysis related to fielded systems and clients inventory.
Creating, optimizing ETL workflows and translate business requirements into ETL and report specifications.