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4 Technical Analyst jobs

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Vilnius  (4)
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Full time  (4)
Nasdaq
31/07/2026
Full time
Mid-Level Data Scientist
Nasdaq Vilnius, Lithuania
As a Mid-Level Data Scientist reporting to the Director of Data Science, you'll play a meaningful role in crafting solutions, translating data into meaningful insights, and helping build the future of our products and client experiences. You'll thrive in this role if you're curious, data driven, and curious about technology — someone who enjoys collaborating across teams and communicating sophisticated ideas in clear, compelling ways. Key Responsibilities Design, research, and develop machine learning and AI solutions that drive measurable business outcomes across the enterprise. Translate data insights into practical, decision-ready recommendations for both technical and non-technical collaborators. Partner with key business collaborators to understand their objectives and communicate the value and impact of data science initiatives. Provide regular updates on project progress, findings, and potential impact on key performance indicators. Foster a collaborative, informed...
Nasdaq
29/07/2026
Full time
Senior QA Test Analyst
Nasdaq Vilnius, Lithuania
As a Senior QA Test Analyst – Automation reporting to Senior Director , you'll play a critical role in ensuring the quality and reliability of software integrations across Nasdaq's product ecosystem. You'll thrive in this position if you're detail-oriented, collaborative, and passionate about building robust automated testing frameworks in a fast-paced, globally connected environment. Key Responsibilities Design, execute, and maintain test strategies and test cases across integrated systems, including solutions hosted on AWS Drive integration and end-to-end testing across multiple products and platforms Collaborate closely with developers, product owners, and business analysts to ensure quality throughout the software lifecycle Identify, analyze, and track defects through to resolution Contribute to test automation and CI/CD pipelines to enable efficient and reliable releases Support test data creation and management, including flexible and data-driven test scenarios...
Nasdaq
23/07/2026
Full time
Trade Surveillance Data Support Specialist
Nasdaq Vilnius, Lithuania
As a Data Support Specialist reporting to Senior Manager - Client Support Services, you'll play a critical role in ensuring the integrity and quality of data flows that power Nasdaq's Trade Surveillance platform — a service relied upon by over 150 market participants across 65 markets globally. You'll thrive in this position if you're analytical, detail-oriented, and collaborative, with a passion for solving complex data challenges in a fast-paced, high-impact environment. Key Responsibilities Prioritize and manage reported trading data issues through end-to-end incident ownership, ensuring timely resolution and clear client communication. Investigate and resolve data flow issues by leveraging server environments and data management tools to identify root causes and implement fixes. Collaborate with global cross-functional teams to coordinate releases and deploy bug fixes that improve platform stability. Drive continual service improvement initiatives that reduce recurring...
Nasdaq
24/08/2026
Full time
Data Scientist
Nasdaq Vilnius, Lithuania
As a Data Scientist within the Core AI Development team, you'll play a role in developing innovative Machine Learning solutions, and helping build the future of our products, services, and client experiences! You'll thrive in this role if you're curious and ambitious professional who enjoys solving sophisticated problems, exploring new technologies, and translating data into business impact. You'll work closely with cross-functional teams to deliver solutions that drive smarter decisions and measurable results. Key Responsibilities Design, develop, and implement machine learning and AI solutions that create measurable value across the organization. Transform complex data into actionable insights and recommendations for both technical and non-technical audience. Partner with business and technology teams to understand challenges, find opportunities, and deliver data-driven solutions. Communicate project progress, key findings, and business impact to partners at various...
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