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Data Analyst / Embedded UAT Tester - (Junior/Mid - Remote - US)

ICF 馃嚘馃嚜 Dubai, United Arab Emirates Posted 10 days ago
Full-timeTechnology & Data Sponsors visas
Description The Work: At ICF, we combine deep domain expertise with leading-edge technology to help our clients solve their most complex challenges. We are seeking a Data Analyst whose expertise is embedded as part of a User Acceptance Testing Team, supporting mission-driven data and analytics modernization programs that deliver measurable impact. As a Data Analyst / Embedded UAT Tester you will bring strong expertise in data analytics, SQL-based analysis, data validation, and Databricks workflows. You will also support the validation of user workflows, system functionality, usability, and release readiness through structured user acceptance testing and collaboration with business, technical, product, and QA stakeholders. You will help ensure that modern data platforms, analytic outputs, dashboards, and user workflows are accurate, usable, accessible, and aligned with mission needs. Job Location: This position requires that the job be performed in the United States. If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses, and also prohibits personal VPN connections. - You may be asked to travel once a quarter to an office. - Our core work hours are 9am - 4pm Eastern Time with the option to start earlier or work later depending on your time zone. What You Will Do - Lead the design, implementation, and governance of a robust UAT framework, including UAT plans, test scenarios, test cases, acceptance criteria, traceability matrices, issue logs, readiness assessments, and results reporting - Coordinate and facilitate UAT sessions with representative users to validate real-world workflows, system functionality, usability, and readiness for release. - Perform hands-on data analysis, profiling, reconciliation, and validation using Databricks, SQL, and modern analytics workflows. - Validate data quality, data integrity, data transformations,

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