Top Data & Analytics Jobs
As a Senior Analyst in Sales Operations, you will partner with sales leadership to shape strategies, manage pipeline processes, and enhance reporting frameworks. This role involves cross-functional collaboration, vendor management, and data integrity maintenance across various CRM systems, contributing to the overall growth of the sales team.
The role involves developing data-intensive AI solutions for Risk Management, including data acquisition, pipeline development, transformation, staging, and governance. The candidate will collaborate with leadership, maintain APIs, and ensure data quality for analytics and machine learning applications.
The Data Manager for Risk Engineering & AI will develop data-intensive solutions to enhance decision making in risk management, focusing on data acquisition, pipeline development, transformation, governance, and collaboration with AI/ML teams to implement production-level data processing solutions.
The Data Manager will develop data-driven solutions for risk management, focusing on data acquisition, pipeline development, transformation, modeling, and API creation. The role involves collaboration with AI/ML specialists to implement AI-based solutions and ensure data quality and governance while identifying opportunities for process improvement.
The Data Manager will develop data solutions for Risk by collaborating with leadership to drive data-driven decisions. Responsibilities include data pipeline development, transformation, modeling, storage, API development, collaboration with AI/ML teams, and implementing data governance practices.
The Senior RCSA Analyst handles consumer credit bureau disputes by investigating claims, maintaining internal records, and communicating corrections to credit bureaus. Responsibilities include data entry, analyzing transactions for accuracy, identifying operational risks, managing sensitive data, and ensuring compliance with relevant laws and regulations.
The Senior RCSA Analyst is responsible for investigating consumer credit bureau disputes, ensuring accurate data entry, and processing various payment methods. They conduct root cause analysis and maintain compliance with credit reporting laws while communicating effectively with management and stakeholders.
The Staff Data Scientist role involves leading the Member Data Scientist team to drive growth and engagement strategies through data analysis and machine learning. Responsibilities include mentoring team members, building data pipelines, identifying business opportunities, and collaborating with cross-functional teams to inform product strategy and revenue growth.
As a Senior Data Scientist, you will analyze data to drive growth, engagement, and retention strategies at a financial services company. Responsibilities include developing machine learning models, conducting A/B testing, interpreting data analysis results, and collaborating with various teams to influence product strategies and revenue growth.
As a Staff Data Scientist, you will lead the Member Data Scientist team in driving growth, engagement, and retention strategies by leveraging expertise in data analysis and machine learning to inform product strategy and develop effective business solutions.
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