Data Systems Analyst 64

abra professional services is seeking a Data Systems Analyst.

We are looking for a skilled Data Systems Analyst to provide Data and AI-based solutions, analyze business needs, translate them into technology solutions, and support the development and implementation of data-driven systems.

This role requires experience in data project analysis, Agile methodologies, complex databases, financial organizations, banking processes, data architecture, API specifications, ML models, AI solutions, and system integrations.

A full-time hybrid position based in Central Israel, with 1 day a week remote.

Key Responsibilities:

• Analyze business needs and translate them into Data-based technological solutions.
• Define business and technological requirements with business stakeholders and development units.
• Write functional and technical specification documents, including ERD specifications.
• Support and accompany development processes.
• Work with data development teams, analysts, and Data Engineers.
• Support the development and implementation of data solutions, ML models, AI solutions, and integrations with organizational systems.
  
  

• At least 3 years of experience analyzing data projects – mandatory.
• Proven experience in analysis and specification writing for projects managed in Agile methodology – mandatory.
• Knowledge and experience working with diverse and complex databases, including writing complex queries – mandatory.
• Experience in large financial organizations – mandatory.
• Understanding of banking processes, including system integrations – mandatory.
• Ability to investigate processes and perform reverse engineering – mandatory.
• System-wide perspective and understanding of processes and architecture – mandatory.
• Experience in proper data structure design and planning interfaces between systems, including API specification – mandatory.
• Experience specifying Salesforce systems – advantage.
  
  

• Good interpersonal communication and ability to motivate employees in a matrix management environment.
• Experience working in complex environments with different methodologies and skills.
• Ability to work in an intensive environment and meet deadlines.
• High learning ability.
• Independent, with effective time management skills.
• Broad system-wide perspective