Top Entry Level Data & Analytics Jobs in Kansas City, MO

Design and build data models, BI dashboards, and applications to solve business problems. Collaborate with a team to understand data and business needs. Support program management and troubleshoot issues. Recommend technical developments and optimize solutions. Continuous learning and development in BI tools, cloud platforms, databases, and version control systems.

The SAP Analytics Cloud Consultant will design and develop planning and analytic solutions for governmental clients. Responsibilities include analyzing needs, managing projects, and deploying web-based solutions, as well as mentoring and collaborating within the consulting team. The role requires strong organizational and communication skills and an understanding of managerial accounting.

As a Quality Assurance Analyst at Abarca, you will ensure the quality and integrity of healthcare systems by performing testing, documenting results, and collaborating with teams to resolve issues. Your role involves creating test plans, analyzing results, identifying missing requirements, and guiding other QA Analysts, all while optimizing testing practices to meet regulatory guidelines.

As an Analytics Engineer, you will build and manage reporting data models and infrastructure using Snowflake, create reports using Looker, and support data integration with a focus on minimizing development cycles. You will also train team members on data models and maintain relevant documentation.

The Support Analyst provides front-line Level 1 support to internal and external users, managing help requests, documenting issues, and ensuring timely responses per established SLAs. They work with the Support Desk Team to enhance customer experience and operational efficiency.

As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.

The Support Engineer will manage day-to-day operations of scan data processes, submit and correct files, ensure smooth system performance, troubleshoot issues, and develop scripts using Node.js and SQL. Attention to detail and excellent documentation skills are essential.