Top Remote Senior Level Analytics Jobs in Orlando, FL

As a Senior Analyst, you will analyze complex requirements and develop reporting solutions. Key responsibilities include designing dashboards, ensuring data quality and accessibility, and collaborating with stakeholders to assess business needs.

As a Senior Data Analyst at Abbott, you will analyze and model data, create visualizations, optimize data processes, ensure data security, collaborate with teams, train partners, innovate methodologies, and document processes to improve data-driven strategies in healthcare.

The Workday Reporting & Analytics Principal Consultant will lead the design and implementation of analytical solutions within Workday, mentor other consultants, support HCM and financial implementations, and engage with clients to analyze requirements and provide solutions. The role emphasizes customer service and expert reporting skills to deliver superior results.

The Application Data Architect will guide software engineering teams in database design, optimizing data for online applications, and ensuring data integrity and security. Responsibilities include collaborating with various teams to translate requirements into database designs, managing data catalogs, and improving data architecture best practices.

The Principal Researcher will enhance research by analyzing publications, evaluating research ideas, implementing prototypes or production software, and communicating findings. The role requires collaboration with researchers and the application of knowledge in cryptography, distributed systems, and algorithms.

As a Senior Analytics Lead, you'll drive analytics support across the designated sub-vertical, take ownership of analytic processes for partners, and manage client relationships. Your role includes utilizing SQL for data manipulation, crafting insights, and leading initiatives within the organization to shape analytics strategy and product offerings.

As a Senior Data Scientist at StackAdapt, you'll focus on building predictive models to enhance business operations, identify high-potential customers, and implement time series forecasting. The role requires collaboration with internal teams and coding production-ready algorithms. You need a strong data science background and a willingness to turn ambiguous tasks into actionable steps.