Top Senior Level Analytics Jobs

As an AI Research Scientist focusing on engineering and operations, you will bridge theoretical research and practical implementation of AI technologies. Your work will involve developing machine learning models, managing server infrastructure, writing code for AI applications, and collaborating with cross-functional teams to generate actionable insights from complex data sets.

The Senior Data Analyst at OneMagnify provides data and analytics support for enterprise data integration tasks, develops and supports analytic deliverables, conducts strategic ad hoc analyses, and works with business partners to deliver insights.

The PMO Manager is responsible for overseeing IT project management within the Cook Children’s Health Care System. They ensure projects are completed on time and within scope while managing a team of project managers. The role requires strong organizational and communication skills, along with expertise in various project management methodologies and experience with EHR systems.

As a Senior Payments Data Analyst, you will analyze payment data to provide insights, optimize processes, and monitor payment success metrics. You'll collaborate with teams for innovative testing initiatives and lead automated performance monitoring systems, while also preparing various reports for executive leadership. Strong analytical skills are essential for understanding trends and making data-driven decisions.

The Senior Workday Analyst will manage and optimize Workday systems, focusing on Talent Management and Benefits. Responsibilities include configuring modules, improving processes, supporting end users, and conducting reporting and analytics, while collaborating with HR and various stakeholders.

The Head of Data Operations will oversee global data operations ensuring data accuracy, availability, and reliability. This role includes managing an international team, overseeing data transfers/services, incident management, and optimizing operational workflows while responding to dynamic priorities.

The Sr. Data Quality Advisor will enhance enterprise decision-making through data quality analysis, evaluating systems like MDM and Azure for data quality gaps, and guiding data cleansing efforts while establishing quality standards and controls.