Top Analysis Reporting Jobs in Orlando, FL

Designs, develops, tests, and supports business intelligence applications and reporting tools. Responsibilities include advanced SQL development, data discovery, data warehouse integration, ETL/ELT solutions, query performance tuning, data quality controls, and healthcare data feeds. Collaborates with cross-functional technology teams, manages small projects, mentors developers, performs code reviews, and serves as a subject matter expert for BI applications.

Design and scale reliable data platforms, pipelines, Java microservices, APIs, and reporting infrastructure. Build data validation and reconciliation workflows, support distributed systems, improve pipeline performance and resiliency, and partner with engineering, analytics, and business teams. Contribute to cloud-native infrastructure, CI/CD, Docker, Kubernetes, dashboards, and self-service reporting modernization.

Leads a team of customer experience analysts and owns the insights strategy for Walt Disney World vacation planning. Defines analytical priorities, identifies customer experience opportunities, develops measurement frameworks, guides segmentation and testing, and translates data into executive recommendations. Partners across Marketing, Technology, Operations, Finance, and Analytics to drive prioritization, project execution, data governance, and measurable business outcomes.

Lead growth analytics for Zendesk’s product-led growth motion, guiding a team of analysts and partnering with Product, Engineering, Sales, Marketing, and Data teams. Define funnel metrics, measurement plans, experiments, and instrumentation across acquisition, activation, conversion, retention, and expansion. Analyze customer behavior using segmentation, cohorts, funnels, experimentation, and statistical methods. Improve self-service reporting, dashboards, metric definitions, reusable datasets, and analytics capabilities while coaching analysts and influencing senior stakeholders.

Leads the design and governance of Databricks-based data products, ETL/ELT pipelines, analytical models, metadata, business rules, and data-quality controls. Integrates pharmacy, healthcare, membership, marketing, operational, and financial data to support reliable self-service and AI-assisted analytics. Provides technical leadership, establishes standards, evaluates analytical accuracy, mentors teams, and translates business requirements into scalable, governed data capabilities.

Leads provider data business intelligence, automation, governance, stewardship, quality controls, complex analytics, dashboards, reporting, and executive insights. Partners with technology, operations, compliance, and business stakeholders to improve data transparency, reduce manual work, measure performance, and enable strategic decision-making. The role requires advanced healthcare data expertise, predictive analytics, SQL and SAS proficiency, BI visualization skills, and the ability to support government-related clearance requirements.

Analytics interns monitor platform spend and account pacing, adjust campaigns, and use Google Analytics, Adobe Analytics, and other data sources to improve campaign performance and meet KPIs. They gain hands-on account experience while developing analytical, strategic, communication, and problem-solving skills. Interns must commit to at least 20 hours weekly and may work part-time or full-time.

Manage and control program documentation and data for a defense engineering portfolio. Responsibilities include maintaining document repositories, templates, registers, metadata, version control, and baselines; coordinating peer reviews and customer submissions; tracking deliverables, risks, and actions; performing documentation quality checks; supporting audits and change processes; and collaborating with engineering teams to ensure accurate, compliant, and traceable data.

Leads measurement strategy, KPI frameworks, audience and competitive insights, performance analysis, dashboarding, and reporting across integrated PR, influencer, social, and paid media programs. Presents recommendations to clients, oversees testing and optimization, manages data analysts, ensures data governance, and contributes to new business, thought leadership, and agency growth.

Leads enterprise data architecture strategy, modernization, and implementation across cloud data platforms, data lakes, lakehouses, warehouses, analytics, and AI environments. Designs secure, scalable data models, ingestion and integration patterns, and cloud-native architectures. Builds prototypes, evaluates emerging technologies, guides engineering teams, and drives adoption of strategic data products. Partners with executives, business stakeholders, architects, security, and delivery teams to establish enterprise data practices and architectural direction.

Analyze and model property catastrophe reinsurance treaties using catastrophe modeling platforms. Prepare and validate exposure data, execute models, interpret risk metrics, develop scenarios, and identify portfolio risk drivers. Support underwriting, actuarial pricing, placement, renewals, and management decisions through clear reporting. Participate in model validation, calibration, research, and development while collaborating with underwriters, actuaries, and other stakeholders.