Top Analytics Jobs in Tallahassee, FL

The role involves leading analytics solutions for Valvoline's Global Products segment, implementing a comprehensive data framework, and enabling insights through effective visualization and analytics practices.

The Principal Data Scientist will lead analytics for Mortgage sales, focusing on customer retention and lead optimization. Responsibilities include applying advanced analytics to enhance marketing strategies, conduct customer segmentation, and oversee lead generation processes. This role requires strong programming skills and collaboration with business partners to communicate insights effectively.

The role involves building analytics tools and frameworks to support Airbnb's international growth strategy, requiring deep data expertise and collaboration with various teams.

The Databricks Architect will design and implement large-scale data solutions, optimizing performance and reliability, while leading initiatives in data engineering.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

The Staff Data Scientist will oversee Foodsmart's member growth analytics, focusing on marketing and product funnel optimization, experimentation, attribution modeling, and enhancing self-service analytic tools while collaborating closely with leadership and cross-functional teams.

As a Senior Analytics Engineer, you'll build data pipelines and dashboards, partner with stakeholders for KPI development, and ensure data quality across the company.

The Director of Data and Analytics will lead and grow the data function, overseeing team development, strategic execution, governance, and data integrity in a healthcare-focused environment.

The Director of Data Analytics & Business Intelligence leads analytics functions, building models and dashboards while guiding a team. Responsibilities include analytics infrastructure management, cross-functional collaboration, and driving AI/ML initiatives.