Top Remote 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 role involves developing customer-facing reports, providing insights, managing analytics for health systems, and collaborating cross-functionally to enhance operational efficiency.

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 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.

Manage and optimize GPU capacity and compute resources, develop data models and reporting systems, collaborate across teams to improve efficiency and meet business needs.

The Actuary analyzes and forecasts financial data to support strategic decisions, ensuring data integrity, and serves as a subject matter expert on ESRD population for Medicare Advantage plans.

The Associate Actuary analyzes data to forecast financial information, supports strategic decisions, and develops reports while collaborating with stakeholders.

The Staff Analytics Engineer builds data workflows, ensures data integrity, resolves customer issues, and develops insights products, leveraging SQL and Python skills.

This role focuses on designing and optimizing measurement strategies for marketing campaigns, analyzing effectiveness, and developing reporting tools to inform marketing decisions. It requires collaboration with stakeholders and other teams, ensuring insights drive future strategies.

Lead the data engineering and analytics team, overseeing data processing for utility bills, building data strategies, and ensuring data quality while promoting evidence-based decision-making across the organization.

Lead a global analytics team, implement advanced methodologies, and drive business impact through analytics and experimentation. Build data culture and strategic partnerships to enhance customer experiences and growth opportunities.

The Analytics Engineer will develop and manage dbt models and SQL queries, collaborate with stakeholders, ensure data quality, and support data analysis. They'll translate business needs into technical data solutions and maintain clear communication with diverse teams.

The Senior Quantitative Analytics Associate leverages statistical and mathematical techniques to validate models and provide predictive analysis for business needs, mentoring junior staff and delivering insights based on data analysis.

The Head of Strategy, Analytics, and Optimization will lead analytics efforts in simplifying agricultural lending processes, focusing on risk management, automation, and business growth. Responsibilities include developing models, overseeing teams, and ensuring adherence to regulations.