Top Remote Analysis Reporting Jobs in Orlando, FL

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Provides advanced business and technical analysis, develops reporting and data pipelines, manages internal and vendor data exchanges, and supports system design and modernization. Analyzes processes, requirements, operational trends, and financial impacts to recommend solutions. Oversees member sequencing logic, validates data, develops database applications, resolves complex issues, documents requirements, monitors projects, and trains staff. The role requires expertise in Snowflake, SQL, Python, Databricks, or similar technologies, along with business analysis and systems experience.

Uses patent data and analytics expertise to define, evaluate, and improve AI-assisted patent intelligence products. Responsibilities include creating evaluation standards, reviewing AI outputs, identifying data and reasoning issues, shaping product use cases, collaborating with engineering and product teams, and presenting recommendations to senior stakeholders. The role supports portfolio comparison, competitor benchmarking, technology trends, licensing, M&A, patent summaries, and claim interpretation.

Analyzes data from multiple sources to identify trends, develop member segmentation and lifecycle models, support competitive analysis, and recommend strategies for improving member participation and financial products. Builds reports, dashboards, and data-driven tools for leaders and staff, collaborates with stakeholders, trains power users, and provides ongoing analytical support using SQL, R or Python, ETL, data modeling, and business intelligence tools.

Designs and develops data infrastructure, ETL pipelines, prototypes, and enterprise data assets supporting analytics and Data Science. Partners with business users, data scientists, and analytic engineers to deliver solutions from ideation through implementation. Responsibilities include data exploration, testing, validation, monitoring, predictive-modeling support, data visualization, and functional test execution. Provides technical guidance and mentors team members while promoting innovation and process improvement.

Lead the technical direction, architecture, reliability, observability, and modernization of a cloud-based data engineering platform. Design scalable pipelines and reusable frameworks supporting analytics and AI, improve data quality, and establish testing, code review, CI/CD, and engineering standards. Drive adoption of AI-assisted development tools and build agentic workflows across planning, coding, testing, and deployment. Partner with machine learning, MLOps, Analytics Engineering, and business stakeholders in a highly autonomous senior individual contributor role.

Designs, develops, and maintains reporting programs for the Vendor Management Organization. Extracts and analyzes data from multiple sources, performs trend and root-cause analysis, identifies process improvements, and presents KPIs and insights to stakeholders using Power Query, Python, and Tableau.

Analyzes ESHS and sustainability data, maintaining analytics pipelines and developing dashboards, KPI reports, predictive models, and data-governance standards. Uses statistics, machine learning, and AI to evaluate program performance and identify corrective actions. Partners with subject matter experts, AI teams, and cross-functional stakeholders to translate business needs into data-driven solutions, communicate executive insights, and support enterprise analytics strategy and adoption.

Analyzes healthcare and business data from multiple sources to create reports, dashboards, forecasts, and actionable insights. Develops SQL- and Excel-based reporting solutions, validates data quality, supports claims and utilization analysis, fulfills regulatory reporting requirements, and improves reporting workflows. Collaborates with stakeholders to define requirements, presents findings, documents methodologies, and supports analytics projects, audits, and process automation.

Leads development and maintenance of actuarial data marts, datasets, extracts, reports, and analytical solutions supporting claims analysis, IBNR reserving, forecasting, trend analysis, and financial reporting. Partners with actuarial, finance, medical economics, and data teams to validate and reconcile healthcare data, automate refreshes, ensure auditability, and improve data quality. Provides technical leadership, requirements expertise, recommendations, training, and direction to junior staff and business partners.