Top Data & Analytics Jobs

The Senior Product Data Analyst will analyze complex datasets using SQL and Python to provide insights for product development. Responsibilities include designing data visualizations, performing A/B tests, collaborating with stakeholders, and enhancing data collection methods. The role requires strong technical skills and the ability to communicate findings to both technical and non-technical audiences.

The Investment Analyst provides relationship management and service delivery for institutional clients by partnering with Client Chief Investment Officers (CCIO). Responsibilities include managing client inquiries, coordinating investment reviews, analyzing performance, and collaborating on client communication materials.

The IT Endpoint Operations Analyst will manage endpoint devices for optimal performance and security, lead the imaging process, implement MDM strategies, conduct security assessments, and provide exceptional support to users while collaborating with IT teams to enhance endpoint management.

The Forecasting Analyst is responsible for developing call center forecasts, budget, and analyses, as well as maintaining staffing models. The role requires strong analytical capabilities and advanced technology skills to improve accuracy and process efficiency.

The Senior Back Office Analyst will manage customer accounts, conduct research to resolve inquiries or complaints, act as a liaison between teams, and provide training. They will ensure customer satisfaction by maintaining effective communication and proactively addressing concerns, while also supporting system enhancements and operational procedures.

The Data & Analytics Lead manages the data governance program and analytics solutions to ensure data integrity, security, and availability. They lead the Data Governance Council, engage with business partners to provide technical support, ensure compliance with data analysis standards, create visual data representations, document processes, and manage technology projects.

The Machine Learning Engineer will optimize AI inference systems, develop runtime inference services, and collaborate with teams to enhance AI capabilities. Responsibilities include designing production systems, conducting code reviews, and implementing robust data processing systems.