Top Senior Analysis Reporting Jobs in Jacksonville, FL

Performs independent quality assurance and validation across enterprise data platforms, warehouses, integrations, reporting solutions, and business processes. Responsibilities include data quality analysis, test strategy and automation, regression and release validation, incident investigation, root cause analysis, requirements traceability, governance, regulatory validation, and monitoring data quality metrics. The role partners with engineering, business, compliance, and operational teams while improving enterprise data integrity, reliability, and governance.

Lead design and implementation of a scalable enterprise data warehouse: dimensional modeling, ETL/ELT pipelines, cloud data platforms, data governance, performance tuning, monitoring, and mentoring. Collaborate with stakeholders and engineering teams to enable analytics, ensure data quality and security, and support data science/ML workloads including feature engineering and NLP components.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Design, build, and maintain scalable ETL pipelines and data integration solutions using SQL Server, SSIS, and Azure Data Factory. Lead logical and physical data modeling, create data marts and operational stores, ensure data quality and governance, optimize ETL performance, and collaborate with stakeholders to translate business needs into enterprise data solutions.

Design, develop, deploy and maintain Tableau dashboards by blending data from Oracle and MS SQL Server. Lead dashboard lifecycle from requirements through implementation, perform Tableau admin tasks, mentor team, support Medicaid stakeholders, and produce standards, prototypes and presentations. Provide QA, deployment coordination, and user management.

Lead digital transformation by consolidating and cleaning data, building analytics and predictive models, migrating legacy systems to Microsoft 365, designing Power BI dashboards and DAX models, automating workflows with Power Automate/Forms/SharePoint, training users, and ensuring compliance with contractual and security requirements.

Senior ETL developer to design and develop AbInitio ETL processes, lead technical data mapping and requirements, support data warehouse and analytics, tune SQL/DB performance, mentor junior staff, and work with business users on BI solutions. Strong communication skills required; healthcare experience is a plus. Contract (12+ months).

Architect and maintain NetBrain’s first cloud data warehouse, ELT pipelines, transformation layer, semantic models, and BI foundation. Own data quality, governance, lineage, access controls, and curated models supporting product usage, customer adoption, account health, and go-to-market reporting. Partner with stakeholders to establish reliable metrics and a standardized source of truth, while supporting AI-assisted analytics and natural-language reporting use cases.

Leads advanced analytics for Airbnb’s Community Blueprint Quality team. Responsibilities include diagnosing customer experience issues, designing experiments, applying causal inference, developing metrics, using LLMs to analyze unstructured data, building dashboards and analytical artifacts, and translating complex findings into recommendations for senior leadership. The role partners cross-functionally with Product, Engineering, Data Science, Data Engineering, Operations, and Finance.

Lead marketing analytics for Airbnb’s loyalty and community pilot, designing experiments, measuring incremental impact, analyzing customer and campaign performance, and delivering recommendations to senior leadership. Partner with Marketing, Finance, Data Science, Product, and Operations to optimize investment across growth initiatives and expand experimentation across business lines.

Leads enterprise data strategy, platform architecture, Master Data Management, federated governance, data quality, compliance, and real-time analytics. Builds scalable data infrastructure, modernizes legacy pipelines, establishes operational data hubs, and enables secure data products across the enterprise. Oversees data engineering, architecture, MDM, governance, and embedded analytics teams while partnering with executives and business units to drive transformation, operational efficiency, AI readiness, and acquisition integration.