Creating an inspiring place to thrive for the talented, we use their expertise and courage to introduce the technology of the future into your business. - This is the foundation of Mindbox and the goal of our business and technology journey. We operate and develop in four areas:
🤖 Autonomous Enterprise - automation of business processes using RPA, OCR, and AI.
🌐Business Managment Systems ERP - we implement, adapt, optimize, and maintain flexible, safe, and open ERP of production and distribution companies worldwide.
🤝Talent Network - we provide access to the best specialists.
☁️ Modern Architecture - we build integrated, sustainable, and open CI / CD environments based on containers enabling safe and more frequent delivery of proven changes in the application code.
We treat technology as a tool to achieve a goal. Thanks to our consultants' reliability and proactive approach, initial projects usually become long-term cooperation. For over 16 years, it has provided various services to support clients in digital transformation.
#LI-Hybrid
• E2E delivery of assigned projects, such as developing performance KPIs, development of data models based on multiple data sources in alignment to standards and business requirements, including but not limited to data discovery, data cleaning and transformation, metrics calculation, data aggregation and data validation
• Perform matching and linking across datasets
• Ensure secure movement of data from sources to targets .
• Provide complex reporting solutions within Google Cloud environment and/or Microsoft SQL Server. Utilise Python, TSQL and other technologies
• Work with stakeholders and business partners to understand requirements and process logic; play an active role in understanding core problem statements
• Identify internal process improvements opportunities
• Identify and manage risks and process blockers in area of responsibility
• Document the processes by creating road-maps, process descriptions and other documentation
• Drive assigned projects, including facilitating discussion and monitoring progress
Tech stack: SQL, T-SQL, Python, GCP, Big Query, Data Studio, ETL