Data Analyst

About the Company:

Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders—yes, we really are leaders—we partner with 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:

We are looking for a highly analytical and detail-oriented Data Analyst to help us extract meaningful insights, refine our models, and improve customer experiences through data-driven decision-making.

Our Analytical Models team, part of the Product department, is at the core of our innovation. We design, refine, and enhance the analytical models that drive the intelligence behind our products. We work closely with product managers, data scientists and R&D teams to ensure our models are accurate, scalable, and aligned with business objectives.

Responsibilities:

• Analyze large-scale financial datasets to uncover trends, insights, and opportunities for model optimization.
• Work closely with product managers and R&D to enhance the structure and logic of analytical models.
• Monitor model quality by tracking accuracy, coverage, and overall performance, implementing improvements as needed.
• Build dashboards and reports to visualize insights and present findings to both technical and non-technical stakeholders.
• Collaborate in a dynamic, fast-paced environment, contributing innovative ideas to improve data-driven personalization.

Requirements:

• 4-5 years in data analysis, working with financial data.
• Education: B.A / B.Sc in Industrial Engineering, Statistics or a related field.
• Proficiency in working with Python for data analysis.
• Hands-on experience with SQL and complex data querying.
• Solid understanding of statistical analysis.
• Experience with data visualization tools (looker, power bi, superset) is a plus.
• Ability to work efficiently in a fast-paced, collaborative environment.
• Strong communication skills to translate data insights into actionable business recommendations.
• High attention to detail and a passion for solving complex analytical problems.