Top Entry Level Analysis Reporting Jobs in Orlando, FL

Designs and operates a scalable data platform supporting entity resolution, knowledge graphs, real-time risk assessment, APIs, and batch and streaming pipelines. Owns data reliability, observability, governance, performance, and platform architecture while collaborating with data science, analytics, product, and engineering teams. The role requires graph databases, cloud-native AWS services, modern data stack technologies, DevOps, and data-as-a-service experience.

Develop and analyze mathematical, statistical, forecasting, pricing, revenue management, and optimization models to support data-driven business decisions. Responsibilities include validating models, collecting and cleaning data, reporting results, and contributing to analytics applications across Disney business units. The role requires graduate study in a quantitative field, programming and statistical modeling experience, and full-time availability from January through June 2027.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Design, build, and maintain scalable big data pipelines, architectures, distributed databases, and storage systems. Use Python and frameworks such as Hadoop, Spark, or Flink for data integration, transformation, and processing. Ensure system performance, availability, security, governance, and data quality while collaborating with cross-functional teams and documenting technical solutions.

Enter, verify, maintain, organize, and update data in databases, spreadsheets, and other organizational systems. The role performs error correction, data validation, quality control, reporting, recordkeeping, and data categorization. It also supports data-related projects, resolves discrepancies with colleagues, assists other departments, and completes additional administrative tasks as assigned.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

Support Sales and Key Account teams by owning trade performance reporting, building dashboards, analysing promotional ROI, preparing category presentations for range reviews, and collaborating with Marketing, Supply Chain, and Finance to drive commercial decisions.

Monitors healthcare data workflows, validates and reconciles files, troubleshoots database and data-integration issues, performs quality audits, maintains backups, and supports operational reporting. The analyst documents procedures, communicates data discrepancies and resolutions, assists with month-end processes, and helps improve standardized workflows while protecting confidential client information.

Coordinates data and process activities for a Managed Services Center, including ServiceNow CMDB reconciliation, data entry and validation, contract updates, quality assurance, task tracking, documentation, auditing, and business continuity support. Collaborates with internal teams and vendors to maintain accurate records, resolve discrepancies, and support ServiceNow operations. The role is remote and highly keyboard-intensive.

Analyzes supplier deal performance, revenue opportunities, forecasts, and commercial risks for global travel partnerships. Supports supplier negotiations, models deal structures, develops strategic reporting and optimization plans, and translates complex data into actionable recommendations for leadership, Sales, Pricing, and Client Management. The role requires strong analytical, commercial, communication, stakeholder engagement, and strategic thinking skills.

Build and maintain production data ingestion pipelines, transformation models, warehouses, and schemas for PerfectServe’s data platform. Deploy reliable, tested pipelines using idempotency and data-quality checks, apply dimensional and medallion modeling, participate in design reviews, and document owned pipelines and runbooks. The role requires SQL, programming experience, dbt or similar transformation tools, cloud data warehouse experience, ELT orchestration, AWS knowledge, and a strong data-testing mindset.