Top Analytics Jobs in Palm Bay, FL

As the Senior Manager of Analytics Engineering, you'll lead a team to build data models, ensure data quality, and deliver impactful insights through analytics. You'll collaborate with various teams, utilize AI advancements, and drive decision-making by optimizing data solutions and tools.

The Sr. Analytics Engineer designs data models for reporting, collaborates across teams, and optimizes cloud-based data warehouses, particularly in healthcare settings.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead and manage a team of data professionals in delivering analytics solutions, improving business insights, and fostering partnerships with various stakeholders.

Drive analytical insights and strategies for borrower acquisition and retention, partner with various teams to enhance growth, and mentor junior analysts.

Lead and mentor a team of data analysts, drive data analytics strategy, ensure data quality and governance, and deliver actionable insights across business functions.

The Senior Manager, People Insights & Analytics will develop analytics tools, build dashboards, conduct workforce analyses, and drive people strategies using data insights to improve talent management.

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

This role oversees a team that analyzes MetLife's mortgage portfolios, delivers high-impact analytics, and collaborates with various stakeholders for reporting and compliance.

The role involves delivering complex analyses, building data visualizations, mentoring junior staff, and engaging with business leaders to drive analytical solutions for business challenges.

The Senior Advisory Reporting & Analytics Consultant will implement Workday solutions, providing configuration and testing expertise for clients while ensuring successful deployments.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

The role involves developing quantitative modeling solutions to assess risks, collaborating with various departments, and effectively communicating insights through data visualization.

As a Technical Consultant in Data & Analytics, you'll lead process improvements and technical delivery, guiding clients in optimizing Salesforce solutions and data governance.

Lead the development of scalable analytics solutions for content distribution, create metrics and dashboards, and collaborate with cross-functional partners.

The Analytics Intern will assist in designing and developing an internal analytics tool, focusing on data extraction, transformation, and visualization to enhance decision-making for internal stakeholders.

Seeking a Principal Analytics Leader to drive value measurement and savings analytics in healthcare, collaborating with various teams to influence decisions and outcomes.

The Analytics Director leads customer care and recoveries analytics, develops metrics dashboards, and drives operational improvements using data insights.

The Quant Analytics Lead Associate develops and validates predictive models using statistics and machine learning techniques, conducts quantitative analyses, and communicates insights to stakeholders.

Lead efforts in designing and implementing analytical solutions, improve processes, and manage relationships across project teams in a healthcare setting.

The role involves leading meteorological research for catastrophe models, applying hybrid modeling approaches, analyzing weather data, and collaborating on risk analytics solutions.

The role involves developing predictive models for catastrophe risk using advanced analytics, machine learning, and statistical techniques. Responsibilities include analyzing large datasets and collaborating on financial risk modeling to enhance accuracy. The individual will document processes and ensure consistent modeling methodologies are upheld.

The role involves data collection, validation, and modeling for catastrophe risk management, requiring SQL, Python, and analytical techniques to support financial decision-making at Nationwide.

The role involves analyzing P&C data, developing quantitative modeling solutions, and collaborating with business partners to drive data-based decisions.