Top Analytics Jobs in Miami, FL

Drive innovation in hazard data and analytics for the insurance industry, focusing on client interactions, regulatory strategy, and product expertise.

The Analytics Engineer will develop data pipelines, conduct analytics, create dashboards, and collaborate with cross-functional teams to provide insights into consumer behavior for strategic decision-making.

As a Product Engineer on the Web Analytics team, you'll create and maintain products that transform raw data into actionable insights and support customer needs directly.

The Analytics Business Specialist will support analytics product lifecycle, develop reports, and facilitate training while analyzing user needs for improvements.

Lead the design of analytics and reporting products, developing user-centered solutions and mentoring junior designers. Collaborate with cross-functional teams to innovate and enhance user experiences.

As VP of Risk & Analytics, you'll oversee credit risk, develop pricing strategies, enhance fraud prevention, and drive data analytics initiatives towards responsible growth.

Lead and grow the analytics team, collaborate with leaders to shape experiments, dive into data using SQL and Python, and present insights to executives.

The Senior Manager of Marketing Analytics will build and manage reporting, optimize marketing investments, and drive insights to enhance business growth in eCommerce marketing.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

Lead the development of analytics and BI functions within Snorkel's Data-as-a-Service team, focusing on data modeling, team management, and driving strategic business decisions based on analytics insights.

The Principal Product Manager will develop AI-driven product strategies and workflows, manage product roadmaps, and collaborate across teams to enhance data-driven solutions in Archive and eDiscovery.

The Account Manager will manage enterprise client relationships, develop marketing strategies using analytics and AI, and drive business growth.

Lead a team in providing data-driven insights for product improvement, mentoring analysts, and implementing new analytics tools and strategies.

The Segment Analytics Manager oversees Power BI support, conducts training, collaborates on reporting solutions, optimizes business processes, and ensures data governance while enabling continuous learning.

The Senior Manager, Marketing Analytics will develop campaign performance metrics, enhance reporting capabilities, and optimize marketing strategies while collaborating with various teams.

Manage product offerings for public sector clients by translating their challenges into AI-powered solutions. Collaborate with stakeholders and drive the product lifecycle from ideation to launch.

The Data Analyst will transform data into actionable insights, partner with product teams, design dashboards, and measure product impact through analytics.

The role involves designing and delivering end-to-end data and analytics solutions on Azure for enterprise clients, requiring data engineering experience.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

Develop marketing analytics campaign performance, enhance reporting capabilities, optimize marketing strategies, and collaborate with cross-functional teams to drive data-driven decisions.

Lead a team of analytical engineers to create optimized data solutions, mentor members, and collaborate on data-driven projects using AWS technology.

The Software Engineer will design and maintain systems for trading analytics, develop low-latency integrations, evaluate trades for optimization, and automate reporting for operational efficiency.

The Senior Software Engineer will architect and develop data assets, implement data pipelines, and ensure data quality while mentoring team members and adhering to data regulations.

The Analytics Lead will design data infrastructure, provide business intelligence, build financial analytics models, and lead a team to drive growth insights.

The Analytics Engineer will architect and maintain Rollstack's data stack, build data pipelines, normalize data, and support analytics for product and GTM teams.