Top Analysis Reporting Jobs in Orlando, FL

Design, build, and maintain scalable ETL pipelines and data warehouse architecture using BigQuery, Databricks, and GCP. Ingest and transform high-volume data from Postgres, REST APIs, and other sources, improve reporting, create reusable code and tests, and collaborate in an Agile/SCRUM environment.

Build and maintain Sigma dashboards, analyze client workup data, develop predictive models to forecast case progression, evaluate team productivity, translate data into actionable insights, document methodologies, and collaborate with data engineering and legal teams to improve reporting and operations.

Lead analytics for product or business domains by transforming data into actionable insights. Define and track KPIs, build dashboards and reports, perform EDA, cohort/funnel and A/B test analysis, validate data quality, partner with Product and Engineering, use AI tools to accelerate analysis, mentor junior analysts, and manage end-to-end analytical projects.

Analyze digital customer journeys and site behavior to identify friction, explain marketing performance, and provide actionable insights. Maintain dashboards, support A/B and multivariate testing, collaborate with developers on tagging and tracking, and drive optimization to improve conversion and retention.

Lead Analyst partners with advertisers and banks to analyze large purchase and engagement datasets, generate actionable insights, present findings to clients, mentor junior analysts, and develop repeatable analytic approaches and self-service tools using SQL, Python, R, and Tableau to drive customer engagement and advertiser value.

The Solutions Analyst delivers reporting and operational outputs, analyzes datasets, resolves issues, maintains solution components, and collaborates with teams to improve efficiency.

Evaluate and verify claims using online evidence, assess source credibility and conflicting information, assign accuracy ratings, and document evidence-based conclusions following project guidelines to improve AI-generated content accuracy.

Build automated enterprise reporting across clinical, operations, claims, and risk adjustment; answer ad-hoc SQL questions; design ETL and data marts with engineering; ensure data quality and documentation; develop clinical business logic and regulatory/PACE reports; mentor analysts and set reporting standards.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

The Databricks Architect leads data engineering solutions, designing scalable Databricks platforms and managing cloud implementations. They work with clients, ensuring technical alignment and project execution.