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

Analyze large datasets to identify trends and areas for improvement. Drive business and technical requirements to enhance data analysis. Present complex findings clearly, utilizing strong statistical and analytical skills.

As a Support and Operations Analyst at Symplicity, you will assist educational institutions in enhancing students' employability. Responsibilities include reviewing CVs, managing career services events, maintaining employer databases, and generating performance reports. You will collaborate with clients and internal teams to operationalize the career platform and support various projects.

As a Marketing Data Analyst at SmartFinancial, you will develop, manage, and analyze marketing campaigns to meet CPA goals. You will structure data to optimize campaign performance and provide insights for strategic improvements, contributing to lead generation efforts in the financial services sector.

The Application Support Analyst will resolve customer issues with the SaaS platform, communicate with clients, troubleshoot applications, and collaborate with internal teams to develop solutions. Responsibilities include investigating code, coordinating problem resolution, monitoring systems, writing custom code, and participating in hiring efforts.

The Environmental Data Manager will manage environmental investigation-derived data, performing ETL operations, ensuring data compliance, maintaining regulatory screening criteria, and supporting project managers and analysts through data management activities, including the development of T-SQL queries and data presentation.

As a Global Alpha Researcher, you will develop market-neutral trading signals, implement academic research, create algorithms for combining Alphas, and apply machine learning techniques for alpha discovery and portfolio construction, while working remotely and flexibly.

As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.