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Business Analyst - Artificial Intelligence Jobs

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Overhead Persistent Infrared / Missile Warning Analyst Support
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United States , Arlington
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Tecolote Research
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Email Security Senior Analyst
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Hungary , Budapest
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Citi
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Information Security Analyst
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United States , San Diego, CA or Franklin Lakes, NJ
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70.00 - 75.00 USD / Hour
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MillenniumSoft Inc
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Manager, Data Quality
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Canada , North York
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Mastercard
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Custody- Client Onboarding Analyst
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India , Mumbai
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Citi
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Lead Data Analyst – Marketing Data & AI
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India , Delhi, Kolkata
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Thirdeye Data
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Director, Product Marketing
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United States , Salt Lake City
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Palladyne AI
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Sr Analyst Site Analytics and Experimentation
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United States , Boston
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98400.00 - 144300.00 USD / Year
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SimpliSafe
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Key Account Manager
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United States , Chicago
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Innova Market Insights
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Senior Director of Product Marketing
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Canada
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360Learning
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Senior Director of Product Marketing
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United Kingdom , London
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360Learning
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Explore the frontier of business and technology with Business Analyst - Artificial Intelligence jobs. This dynamic and rapidly evolving profession sits at the crucial intersection of corporate strategy and cutting-edge AI technology. Professionals in this role act as the vital bridge between non-technical business stakeholders and data scientists or machine learning engineers. Their primary mission is to identify, define, and scope business opportunities where artificial intelligence can drive significant value, solve complex problems, and create a competitive advantage. A typical day for a Business Analyst in AI involves a blend of analytical, technical, and interpersonal tasks. Core responsibilities generally include conducting in-depth requirements-gathering sessions with business units to understand their challenges and objectives. They then translate these often-vague business needs into clear, detailed, and technical functional specifications for AI development teams. This involves creating user stories, process flow diagrams, and data models. A significant part of the role is analyzing and documenting the "as-is" and "to-be" processes to identify how AI can optimize workflows. They are also responsible for defining the key performance indicators (KPIs) and success metrics for AI initiatives, ensuring that the developed solutions are measurable and aligned with business goals. Throughout the AI project lifecycle, they perform rigorous data analysis to inform feature prioritization and validate model outputs against business expectations. To succeed in these challenging jobs, individuals typically need a strong foundation in both business acumen and technical understanding. Essential skills include superior analytical and problem-solving abilities to deconstruct complex business issues. Proficiency in data analysis is paramount, often requiring competence with tools like SQL for data extraction and Excel for manipulation and preliminary analysis. While not always hands-on coders, they must possess a solid conceptual understanding of AI and machine learning concepts, such as natural language processing, computer vision, and predictive modeling, to communicate effectively with technical teams. Expertise in business intelligence and data visualization platforms like Power BI or Tableau is highly valued for interpreting and presenting data-driven insights. Furthermore, exceptional communication and stakeholder management skills are non-negotiable, as is a comprehensive knowledge of the software development life cycle (SDLC) and agile methodologies. Typical requirements for these positions often include a bachelor's degree in business administration, computer science, information systems, or a related field, with many professionals also holding certifications in business analysis (such as CBAP) or specific AI frameworks. Several years of experience in a business analysis or data analysis role, preferably within a technology-driven environment, is a common expectation for candidates seeking Business Analyst - Artificial Intelligence jobs. If you are a strategic thinker with a passion for innovation and a talent for translation between business and technology, this profession offers a rewarding career path at the forefront of the digital revolution.

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