Position: Data and Analytics Lead, Banking System
Company: DataArt
Category: Data Science
Experience required: 5y
English level: intermediate

DataArt's experts together with developers on the client's side are creating new banking apps and upgrading the old ones.

The Data Engineer will be a part of the data engineering community to deliver opportunities to support the organization’s strategic direction. The specialist will have the chance to influence the development and strategic direction of data and analytics, and enjoy a rewarding role that provides valuable development opportunities and training.

Responsibilities

Disseminating data and analytics solution to solve internal and external data problems
Using data extraction and processing techniques to meet regulatory data requirements, providing a robust approach to resolving and automating recurring external and internal information requests
Using new data platforms and technologies to improve the efficiency of the client’s processes and systems to improve access, understanding, and the dissemination of data
Leading, collaborating, mentoring, and sharing expertise with the team of analysts in the areas of data architecture, validation, and integrity
Sharing knowledge with the enterprise analytics and insights teams

Must have

5+ years working in a data and analytics environment using technologies such as SAS, SQL, VBA, Teradata, Oracle (R and Python would be a plus)
Experience in leading data and analytics projects in large organizations
A background in solving complex analytics challenges delivering real business benefits
Solid skills with Excel, PowerPoint, and Access
Solid analytical skills with an ability to draw conclusions from various data sources and present them to senior management
Basic knowledge of AI, Machine Learning models & Cloud platforms
Logical thinker, with a demonstrable history of solving complex data issues
Enthusiasm for developing insights through the latest forms of data thinking and technologies
Customer-focused, action-oriented, and committed to driving quality results.
Excellent interpersonal skills with the ability to foster relationships around the business.
Ability to analyze and manage large data streams, automate complex processes, linking disparate information sources together, and confident in your capability to translate and present them in a way that's effective and understandable to the business, and to a non-technical audience
Attention to detail, problem-solving skills, self-starter
Spoken English

Would be a plus

Mathematical Data Science, Information Management or Computer Science qualification, Degree or Post-Graduate Qualification, and/or SAS accreditation
Experience in SAS Enterprise Guide or SAS Enterprise Miner