Top Analytics Jobs in Orlando, FL

The Solutions Architect will design and deliver data science solutions, support sales processes, and ensure client onboarding and successful adoption of Civis software.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

Lead and develop impact analytics for healthcare advocacy, ensuring data drives decisions and demonstrates the efficacy of services.

Analyze data to support Airbnb's new business extensions, providing actionable insights on key metrics through advanced analysis and collaboration with teams.

As a GTM Analytics Engineer, you will enhance data infrastructure, build SSOT models, and optimize data pipelines to support analytics and business decisions.

The Supervisor of Analytics Reporting will monitor and report on model performance, coach the team, develop complex programming, and automate reports for data analysis.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

In this role, you will lead deal analytics efforts, providing data-driven insights for strategic decisions, manage client relationships, and develop junior team members while participating in business development activities.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

Lead the strategy and execution of ServiceTitan's Reporting & Analytics products. Collaborate with design and engineering teams to understand customer needs, drive product vision, and manage the roadmap for reporting solutions.

The Analytics Manager leads a team to analyze coaching services, collaborates with stakeholders, and develops analytics methods while overseeing reports and dashboards.

The role involves analyzing data to enhance OnePay's product strategy, driving adoption of financial products, and optimizing user experiences through A/B testing and data insights.

As a Senior Data Visualization Engineer, you will create data visualizations, collaborate with teams to build reporting solutions, and translate business goals into actionable insights.

Lead the implementation of data quality solutions, define frameworks, and collaborate with stakeholders to enhance data governance in large scale projects.

Lead a team of product analysts to provide insights that improve the loan lifecycle, efficiency, and customer satisfaction through analytics and collaboration with product teams.

Lead the Capital Markets Risk Data Analytics team, oversee model development in sanctions, fraud, and AML, and drive innovation in analytics.

The role involves coding in SQL and Python, data modeling with dbt, analysis for insights, and data visualization using tools like Looker.

The Senior Data & Analytics Lead will provide advanced financial models, actionable insights, and data-driven recommendations to optimize business performance and support decision-making across the organization.

Lead data engineering, analytics, and automation efforts at Alt. Oversee ETL pipelines, analytics engineering, and AI-driven automation solutions while managing a multidisciplinary team and enhancing company data capabilities.

The Managing Director leads client engagements in strategic finance and analytics, spearheads innovative solutions, and develops high-performing teams for middle-market clients.

The Azure Platform Architect will design and implement scalable solutions on Azure, focusing on user access management and security integration with Azure AD and Databricks.

As an Agentic AI Engineer, you will develop scalable ML systems, build data pipelines, and deploy AI solutions while collaborating with teams to ensure business value.

Looking for Sr. Azure Data Engineers with 8+ years of experience. Responsibilities include building data pipelines and integrating data from various sources.

Responsible for designing and building distributed data systems, developing robust data pipelines, and architecting data platforms to support large-scale data processing.

This role involves assessing data security, designing data access controls within Databricks, and collaborating with architects to align security measures.