Top Analysis Reporting Jobs in Orlando, FL

The Product Data Analyst leads data collection and analysis to inform product strategy, collaborates across teams, and ensures data integrity for decision-making in product management.

The Lead Implementation Specialist is responsible for data integration, reporting, and visualization, ensuring compliance, facilitating client support, mentoring, and driving continuous improvement in data processes.

Lead design and delivery of large-scale data pipelines and warehouse systems. Define technical strategy, enforce data governance, improve developer efficiency, mentor engineers, and align data engineering efforts with business goals to enable analytics and ML at scale.

The Bioinformatics Support Analyst provides operational and analytical support for biomedical informatics applications, ensuring data quality, system performance, and workflow optimization while collaborating with engineering and scientific teams.

The GIT Technical Specialist delivers GIS analysis and data validation for NG911 and public safety, develops workflows, and mentors junior staff, supporting multiple projects.

Lead enterprise analytics strategy and roadmap, consolidate analytics teams, deliver data products and governance, scale advanced analytics and MLOps, partner with IT and business leaders to drive data-driven decision-making and measurable financial impact.

Lead design and scaling of enterprise data architecture and pipelines. Build and maintain ETL/ELT and CDC/streaming workflows, improve data quality and observability, own schema and warehouse modeling, implement governance (RBAC), and provide cross-functional technical leadership to enable trusted, scalable data for analytics and product teams.

Support data-driven operations by sourcing, integrating, validating, and transforming data; build and maintain dashboards, agency scorecards, and reports; analyze KPIs to identify improvement and cross-sell opportunities; measure campaign effectiveness; ensure data quality; partner with stakeholders and technology teams; support monthly reviews and ad-hoc analytics requests.

Support randomized control trials and A/B tests for Party at the Polls: maintain experimental data tables, prepare samples, analyze results (pre/post-election), prioritize sites, and produce reports and timely program performance analysis.

Owner of cross-functional analytics projects: build and maintain dbt models, write advanced BigQuery SQL, create BI dashboards (Omni/Power BI), monitor data quality, define metrics, enable stakeholder decisions, and use AI tools to accelerate analysis and QA.