Top Senior Level Data & Analytics Jobs in Orlando, FL

As a Senior Analytics Engineer at Apollo.io, you will design and maintain data models, implement data engineering standards, and collaborate cross-functionally to deliver scalable data solutions. You will influence analytics infrastructure and provide strategic insights for business decision-making.

The Senior Analyst will lead research study design, apply advanced statistical methods for survey and data analysis, mentor junior analysts, consult with clients on analytic solutions, and support business development initiatives. Responsibilities include project management, effective communication of findings, and overseeing data collection and evaluation efforts.

As a Senior Data Engineer at Hims & Hers, you will design and develop scalable data pipelines, optimize performance and data quality, and build infrastructure for data extraction and loading. You will collaborate with various teams to ensure data reliability, support analytics tools, and help deploy machine learning models while maintaining best practices in data management and compliance.

As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.

The Senior Researcher will support evaluation projects by managing research tasks, developing reports and data visualizations, analyzing data, and collaborating with teams to meet client needs. This includes leading evaluation studies in areas like emergency preparedness, providing quality checks, and contributing to proposals while balancing multiple projects.

The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.

The Senior Data Analyst will evaluate the impact of iMentor's programs by gathering and analyzing data, creating reports and visualizations, and providing analytics support across departments. The role requires a focus on data quality and measurable outcomes to improve program effectiveness.