Top Data & Analytics Jobs

Teach undergraduate and potentially graduate courses in operations management, information systems, data analytics, and applied artificial intelligence. Maintain scholarly academic status through peer-reviewed research, presentations, and professional development. Mentor students, participate in experiential learning and external-client projects, and complete departmental, college, and university service. Candidates must support ACU’s Christian mission and provide academic and church-related recommendations and statements.

Own and improve ETL pipelines, investigate and validate analytics systems, optimize performance, cost, and availability, and design scalable data platforms. Collaborate with data scientists to deliver dashboards, insights, and client-facing data pipelines using strong software engineering practices.

The Site Reliability Engineer will ensure the reliability, security, and support of Databricks applications while collaborating with various teams to optimize data workflows and incident management.

The Senior Actuarial Analyst develops pricing models, analyzes claim trends, prepares financial statements, and updates financial forecasts.

The Data Engineer will clean, manage, and analyze datasets, automate ETL processes, and collaborate with traders and software engineers to derive insights.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

The Associate Director develops and executes pricing strategies, analyzing market dynamics, leading pricing initiatives, and ensuring compliance in the pharmaceutical industry.

The Business Analyst will analyze business processes, document requirements, test applications, and coordinate with project teams to develop information solutions.

The Senior Solutions Architect will lead the design and optimization of scalable data platforms, focusing on cloud-based environments, big data technologies, and data visualization for federal data analytics initiatives.

Own and automate pricing models, cost calculators, and margin reporting. Perform SKU- and order-level landed-cost and margin analysis, quantify pricing impacts, maintain pricing logic/templates, build SQL/BigQuery pipelines, automate reporting with R/Python and Google Sheets/Excel, and collaborate with cross-functional teams to improve pricing accuracy and recommendations.