The Senior Data Analyst turns complex data into clear, actionable insights that drive business outcomes. In this role, you will develop scalable analytics assets, serve as our Power BI expert, and promote the advancement of analytics
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our
Date Posted:2026-08-08 Country:United States of America Location:US-IA-CEDAR RAPIDS-130 ~ 5350 C Ave NE ~ BLDG 130 Position Role Type:Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government
Date Posted:2026-08-08 Country:United States of America Location:US-IA-CEDAR RAPIDS-130 ~ 5350 C Ave NE ~ BLDG 130 Position Role Type:Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government
Application Deadline: October 9th The Insights and Product Analytics team (IPA) organization is responsible for business performance of all research products and performs analysis related to all aspects of Gartner’s Business and Technology Insights business unit. This
Date Posted:2026-08-13 Country:United States of America Location:US-IA-CEDAR RAPIDS-121 ~ 350 Collins Rd NE ~ BLDG 121 Position Role Type:Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: This job requires a U.S. Person. A U.S. Person
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with