Business Analyst - Student Position

לפני יום
משרת סטודנטמרכז (גבעתיים)
ללא ניסיון
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בקטגורייתData Science

תיאור המשרה

Description

Personetics harnesses AI to help financial institutions deliver data-driven guidance that empowers customers to make smarter spending and saving decisions. Using our technology, banks can act on their transaction data in real-time to offer timely, contextual insights that drive engagement, deepen customer relationships, and fuel business growth. As industry leaders—yes, we really are leaders—we serve the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets, from offices in New York, London, Singapore, São Paulo, and Tel Aviv

About the position

As part of our growth, we are looking for a Business Analyst to join our dynamic and growing team. The ideal candidate should have strong analytical capabilities combined with leadership skills and proactive approach to problem solving.

Responsibilities
  • Perform business analysis to support the deployment Personetics Solutions
  • Perform data modelling, wrangling, analysis, and mapping as part of the integration architecture.
  • Work closely with other business and development units to achieve high-quality data-centered solutions
  • Perform data and quality analysis including data mapping reviews, data validation and remediation, insight validation and issue impact analysis
  • Define implementation team tasks to support customers needs
  • Research, analyze and organize big data from both technical and business perspective
Requirements
  • A Bachelor of Science Degree (BS) in industrial Engineering, Information systems and similar
  • Strong technical and analytical skills
  • Strong written and verbal communication skills
  • Statistics/data modeling/analytical background
  • Attention to details
  • Team oriented and yet able to work independently
  • Able to thrive in a fast passed environment and learn quickly
  • Highly proficient in English- must
Nice to have
  • Financial services experience (banking, Credit Cards or insurance)
  • Hands on experience in SQL
  • Familiarity with Python for data analysis
  • Customer facing experience
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