Luxoft is a global leader in high-end software development.
Luxoft is looking for talents with a passion for technology & ready to create original solutions. Once on board, you are invited to expand your knowledge & skills, offering you a continuous learning experience helping you stretch your potential.
So if you’re enthusiastic by the idea of accessing cutting edge technology & innovation to make an impact, why don't you join us?
- You support architects and data scientists in defining and making use of key IT architecture metrics for managing architecture complexity as a foundation for architecture simplification
- You apply machine learning techniques to derive data insights
- You are actively involved in collating and consolidating data for complexity as well as other metrics
- You design, refine and implement a data hub as a foundation for IT architecture metrics and analytics
- You design and implement visualizations for various metrics suiting stakeholders’ requirements
- You evaluate additional IT management metrics for suitability and strategic persistence options
- You identify data quality issues and propose mitigation actions
Must:
- SQL know-how and experience, e.g. with MS SQL Server
- Subversion/Git experience
- Strong IT background
- Enthusiasm about Business Intelligence and data analytics
- Structured and reliable person with a strong focus on solutions
- Well-developed conceptual abilities
- Speak fluent English
Nice-to-have:
- Tableau know-how is a plus
- Agile/Scrum working experience is a plus
- Jira experience is a plus
- Liquibase experience is a plus
- Hadoop skills are a plus
- Python, R skills are a plus
- Machine learning knowledge is a plus
The Complexity & Analytics team is part of the central Group IT Strategy & Architecture function and is therefore responsible for all bank-wide reporting and data analyses concerning the overall IT architecture. This includes regular KPI and metric reporting as well as timely responses to ad-hoc analytical demands. Typical customers of the regular reports are divisional and functional CIOs and Chief Architects as well as a broad community of IT Owners. All these analytics are based on a data hub which is designed and maintained by the team. Therein, data from several other IT management systems is collected, integrated, harmonized and archived. Enhancing this data hub is key for the team to expand the scope of possible analytics and to increase efficiency. In addition, IT complexity measurement is one of the major focus areas for which new concepts are constantly developed, implemented and rolled-out within the company. Other topics comprise end-of-live management, solution delivery process compliance, IT productivity and investment monitoring.