Top Remote Data & Analytics Jobs in Indianapolis, IN

The Transformation Office Analyst supports the TO Director by managing meetings, overseeing Wave management, coordinating training for transformation participants, and communicating updates related to transformation efforts. Responsibilities include scheduling meetings, preparing materials, managing inquiries, and creating training resources.

The Creative Analyst develops Google Search Ads and collaborates with Account Managers and Data Analysts to write compelling ad copy that aligns with client marketing profiles and search intents. The role involves analyzing themes and trends, managing client relationships, and contributing to strategies that meet business objectives.

The Senior Analyst in Information Security will support the governance, risk management, and compliance frameworks of the organization. Responsibilities include conducting risk assessments, ensuring adherence to security policies, developing training programs, and monitoring compliance with regulations. The role emphasizes collaboration with various departments to foster a culture of security awareness.

Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.

The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.

The Data Engineer will create and manage data sources, assist with SQL queries for the Analytics team, contribute to project workflows, and develop reporting solutions, enhancing data accessibility for business stakeholders.

As a Senior Data Scientist, you will derive insights from large health datasets and develop AI tools for medication management. Your responsibilities include creating predictive models, assessing program impacts, and presenting findings to stakeholders.