Top Data & Analytics Jobs
The Intelligence Analyst I will support government contracts by performing administrative, analytical, and research functions, while adhering to security regulations. Responsibilities include evaluating incoming reports, identifying relevant data sources, conducting research, and documenting findings clearly and accurately. The role emphasizes teamwork, communication, and maintaining confidentiality.
Lead the data and analytics function at LiveRamp, driving cross-functional innovation, implementing best practices in data management and governance, and overseeing data strategy execution. Collaborate with senior leaders, lead transformation projects, and ensure timely delivery of data insights. Utilize modern data technologies and tools to build a robust data ecosystem and establish data governance frameworks for quality and compliance.
The Analyst for Income Tracking will lead research on income tracking, collaborate with departments to meet productivity and quality goals, track royalties, recover incomes on shortfalls, assist with financial reporting, and support ad hoc projects.
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The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.
The Database Administrator (DBA) will manage and maintain MySQL and PostgreSQL databases, ensuring high performance, integrity, and security. Responsibilities include database design, tuning, backup, recovery, and collaborating with developers for optimization. The DBA will stay updated with database technologies and automate routine tasks.
As a Senior Analyst of FP&A, you will lead budgeting and forecasting processes, manage revenue cycle, prepare financial performance updates, analyze financial metrics, perform variance analysis, and assist with investment analyses, contributing to the strategic decision-making for growth.
The Mediation Data Engineer will design and maintain data processing systems for billing and analytics, focusing on creating mediation pipelines to process large transaction volumes, ensuring accuracy and compliance. Responsibilities include developing ETL processes, real-time event processing, data transformation, and collaborating with various teams to align data flows with business needs.
The Principal Machine Learning Engineer will drive the development of ML solutions addressing complex business problems, implement algorithms for recommendation systems and generative AI, and mentor senior data scientists. This role involves collaboration across teams to enhance ML capabilities and deliver value to customers.
The Tax Data Specialist is responsible for maintaining tax profile data, processing customer profile updates, managing cases related to tax inquiries, and ensuring data accuracy in systems like TaxEx and Workday. They provide support for payroll tax data analysis and assist customers with filing impacts while maintaining quality metrics.
Contribute to the research and productionalization of advanced analytic methods, Data Science, Artificial Intelligence, and Machine Learning capabilities for supply chain solutions. Work with a team to analyze and solve complex supply chain problems using various methods like Predictive Analytics, Forecasting, and Statistical Analysis.
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