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πŸ“
Tel-Aviv, Israel

Business Data Analyst

3 yrs
Financial Services
Operations
November 11, 2025

ICE

Global exchanges and market infrastructure
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Job Purpose

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As a Business Data Analyst working on Automation projects, your primary responsibility is to analyze complex data sets, gather and manage business requirements, design innovative business solutions, and oversee their implementation. You will be working with multiple teams to gain subject matter expertise, conduct feasibility studies, market analysis, and identify and implement process improvement opportunities.

Your role requires you to collaborate and liaise with various business reference data teams such as Operations, /Evaluations, Index, multiple Product and Project Management, as well as Technology to ensure that the quality, completeness, timeliness, and breadth of various data sets are improved. You will leverage your expertise in Automation to support the development of solutions that leverage advanced technologies to automate business processes, improve efficiency, and drive business outcomes.

As a Business Data Analyst, you must have the ability to collaborate with subject matter experts from various teams, understand complex processes and business needs, and present those concepts to others. You will conduct detailed gap analysis to identify opportunities and propose various possible solutions. You will also be required to gather and maintain a comprehensive library of detailed business requirements and oversee their production, while adhering to a set release cycle to ensure successful implementation.

Your work will be critical to the success of ICE Data Services in providing reference data that is used by our clients to make trading decisions, settle trades, make investment decisions, manage portfolios, analyze risk, create security master files, create client statements, and conduct other back-office functions. You will leverage your expertise in Automation and RPA tools to help develop innovative solutions that drive automation and efficiency in the management of these complex data sets.

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Responsibilities

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Knowledge and Experience

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