Senior Data Analyst

• Analytical way of thinking.
• Very good interpersonal communication skills and good command of English.
• Passion for data analysis, problem solving, and requirements elicitation.
• Strong business and technical background.
• Familiarity with agile ways of working and willingness to work in cross-border, cross-cultural, virtual teams.
• Proactive, structured, detail-oriented, and quality driven.
• Ability and passion to develop in the role as assignments vary.
• Cooperative team player and able to work independently.
• Experience in relational database design and querying, including optimization.
• Familiarity with Big Data platforms and technologies such as Hadoop, Hive, Impala, pySpark, HQL.
• Experience with JSON/AVRO data formats.
• Experience with standardized data models like Canonical Data Model.
• Experience in defining and forming business and technical requirements into understandable formats.
• Experience with at least one programming language: Python, R, or Java.
• Utilized Jira and Bitbucket for project tracking and version control.
• Experience in requirement analysis and refinement in data-related areas.
• Ability to collaborate with development teams including developers, architects, and IT analysts.

Nice to have:

• Finance background and/or banking experience preferred.

• Perform IT analysis, investigative data analysis, system design, and data modelling to support development teams.
• Take lead or facilitating role to drive functional and non-functional requirements and analysis work involving multiple stakeholders.
• Ensure alignment and transparency of requirements by acting as a bridge between IT and business teams.
• Build a contextual understanding of business processes and functional/technical know-how of solutions.
• Build understanding of data model, its consumption by development teams, and assess if data fulfills business requirements in the IIS area.