Position: Middle/Senior IT Data Analyst
Company: Raiffeisen Bank
Category: Data Science
Experience required: 2y
English level: intermediate

**Your tasks**
•	Collaborate with product owners/ project managers to clarify their requirements for new or enhanced business processes/products
•	Identify and document key business processes/data flows
•	Prepare specification documents for approved decisions
•	Develop a system level view to ensure consistency in requirements
•	can identify areas of innovation in data tools and techniques and recognize appropriate timing for adoption
•	Explore integration points with external/internal data platforms and help development teams with integration
•	Collaborate with development team to understand architecture implications for business decisions
•	Collaborate with power users

**Your profile**
•	3+ years of relevant professional experience in the financial/banking industry, preferably in product management or IT
•	Solid, hands-on experience in Business Process Analysis, System Analysis and Requirements Engineering
•	Excellent analytical skills, able to design complex data flows and business processes
•	Basic knowledge about SOA, microservices, UML, BPMN, SQL (DML, DDL), BI tools, Pyton
•	Experience in API specification, web-services and integration scenarios (including data flow & logic of components for integration)
•	Understand how to transform data into information
•	Strong problem solving skills, attention to details and result-oriented mindset
•	Excellent interpersonal communication, negotiation and meeting facilitation skills
•	English level – Intermediate (or higher)

**Skills and competences**
**Must have**
•	experience in Data analyses
•	 knowledge of Python, SQL, PL/SQL
•	knowledge of RDBMS (Oracle, PostgreSQL)
•	experience in banking applications/processes
•	experience in Git (GitLab)
•	experience with data standards / metadata
•	good communication skills (English intermediate+) – verbal and written 
•	Standardized Query API (e.g., J/ODBC) Data Access Interfaces
•	experience with data catalog approach

**Nice to have**
•	knowledge with data design/ data modeling (understand how to produce relevant data models  across multiple data platform)
•	knowledge of Jenkins and CI/CD principles, experience in pipelines development
•	knowledge and experience in Data Science / Machine Learning
•	experience with processing of large amount of data
•	experience in Jira and Confluence
•	experience with data catalog tool

**What we offer**
•	Join a large international company that provides possibilities for professional and personal growth
•	Involve into challenging, large-scale projects which have an impact for our customers
•	Knowledge sharing in our Group wide IT community including 14 Raiffeisen Banks
•	Flexible working schedule, 28 days of paid vacation, official employment, attractive social package, distant work possibilities
•	Competitive salary

**About the project**
You will be part of our Data Domain to run Data analytics  for using new technologies. Goal is to build and setup self service analytics approach in the bank to reduce significantly time to market for new banking products and services. We use cloud-native architecture with agile product development practices within our Digital Acceleration Team.