Top Senior Level Data & Analytics Jobs in Miami, FL

As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.

The Senior Analyst, Threat Management is responsible for monitoring and analyzing threats, conducting vulnerability assessments, collaborating with teams for security integration, and improving overall security processes. They will also prepare risk analyses, reports, and assist in security training initiatives.

The ServiceNow Business Process Consultant will help clients adopt ServiceNow best practices by analyzing business needs, leading process improvement workshops, and ensuring solutions align with client expectations. They will also manage client relationships and provide mentoring to team members while acting as the Subject Matter Expert in relevant areas.

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 (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 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.