Enable capability development by supporting training programs, competency frameworks, and knowledge-sharing initiatives
Collaborate with key stakeholders across Operations, Engineering, Quality, Supply Chain, and HR to identify opportunities and deliver impactful projects
Monitor key performance indicators (KPIs) and translate data into meaningful insights to support decision-making and operational excellence
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Identifying potential areas of compliance vulnerability and risk; developing corrective action plans for resolution of problematic issues and providing general guidance on how to avoid or deal with similar situations in the future.
Maintain meticulous records of all investigations, ensuring that every alert has a clear, audit- ready rationale
Responding to alleged violations of rules, regulations, policies, and procedures by evaluating or recommending the initiation of investigative procedures
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Data Analytics and Quality Control: Use data-driven analytics platforms to identify trends, create applicable insights and improve collections strategies. Ensure business-related quality control by reviewing communication templates, monitoring call quality, overseeing internal processes, and ensuring compliance with legal and regulatory standards.
A Bachelor's degree in Business Artificial Intelligence Systems, Analytics, Computer science or a related field
At least 1 year of experience in reporting, analysis, and with exposure to AI-driven tools and methodologies. Individuals with less experience but strong interest and relevant skills are also welcome to apply.
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Collaborating with Nasdaq and client stakeholders, Solution Architects, Subject Matter Experts, to analyze and understand client data and implement best possible solutions for the clients
Provide guidance to client and internal project team on best practices on environment and solution setup
Plan, prepare and Deliver end-user training for platform or solutions
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Provide significant inputs into defining the strategic direction of a functional area
Cross functional design review sessions to ensure global design and solution scalability
Configures SAP IBP and related business systems to enhance business processes, implement improvements, enhance system scope, and meet business objectives.
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Reporting and Analysis: Generate and distribute commission reports to sales teams and management. Provide insights and analysis on commission trends, discrepancies, and potential improvements to commission structures.
Process Improvement: Identify and implement process improvements to enhance the efficiency and accuracy of commission calculations. Collaborate with IT and other departments to automate and streamline commission processes.
Compliance and Documentation: Ensure compliance with all relevant regulations and company policies related to commission calculations. Maintain thorough documentation of commission plans, calculations, and any changes to processes.
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A/B Test Evaluation: Design A/B experiment evaluation strategy and indicator matrix to evaluate the effect of the experiments
Data Management: Provide recommendations for e-commerce, advertisement, content(video, live stream, etc) for data improvement, quality(accuracy), and efficiency of data
Analyze business and algorithm influence and give insights to the PM team & Algo team on how to improve features, models, etc.
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AI-Ready Architecture: Clean and structure data in Fabric OneLake to be "AI-ready". Optimize tables, columns, and relationship naming conventions so LLMs can interpret schemas accurately.
Semantic Model Design: Develop highly optimized Power BI Semantic Models with Direct Lake connectivity to provide the single source of truth for both human-facing dashboards and AI agents.
Data Orchestration: Build and troubleshoot pipelines using Dataflows Gen2 and Data Factory inside Fabric to ingest diverse enterprise data.
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