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Top Analysis Reporting Jobs in Jacksonville, FL
Healthtech • Software
Senior individual-contributor analyst leading end-to-end, high-stakes analyses, designing dashboards and reporting, mentoring analysts, applying statistical methods and causal inference, partnering with analytics engineering to shape warehouse models, and translating findings for technical and non-technical stakeholders.
Top Skills:
BigQueryLookerLookmlPythonRedshiftSnowflakeSQL
Fintech
Lead and grow a data engineering team; define architecture and standards for ETL/ELT pipelines; hands-on design, code review, and development; ensure production reliability, monitoring, and incident response; partner with product and engineering on data roadmap.
Top Skills:
AksAWSBatch ProcessingClaude CodeDockerEtl/Elt PipelinesGitlab PipelinesJavaKubernetesPostgresPythonSQL
Other
Lead demand forecasting and performance analytics for eCommerce: build forecasting models, run scenario and promotional analyses, produce executive reporting, drive cross-functional predictive initiatives, and deliver market and competitive insights to inform planning and resource allocation.
Top Skills:
AICausal ModelingExcelRegressionTime-Series Modeling
Insurance • Financial Services
Lead catastrophe risk analytics across lines, validate and customize Cat models, collaborate with underwriting/actuarial/finance to inform pricing and portfolio strategy, build Cat modeling workflows, mentor analytics staff, support live catastrophe events, and drive R&D on emerging risks and vendor/model calibration.
Top Skills:
Air WorldwideGisKatriskPythonRRmsSQL
AdTech • Digital Media • Software • Analytics
Analyze ad performance metrics (revenue, CPM, fill rates), produce regular reports, support yield and ad ops to optimize inventory across direct and programmatic channels, perform basic forecasting and scenario analysis, collaborate with cross-functional teams, and document insights and testing frameworks to improve monetization.
Top Skills:
Ad ServersExcelGoogle Ad ManagerHeader BiddingLookerPower BIProgrammatic AdvertisingPythonSQLSspsTableau
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Software
Define and govern enterprise data architecture, models, canonical and semantic layers, field-level mappings, and data governance. Partner with IT, Data Engineering, Security, and product teams to ensure data quality, lineage, integrations (Boomi), and platform alignment (Salesforce, Snowflake, NetSuite). Lead M&A data activities, perform hands-on data profiling and validation, and drive adoption of enterprise data standards to support analytics, AI, and automation initiatives.
Top Skills:
BoomiMicrosoft FabricNetSuiteSalesforceSnowflakeSQL
Food • Manufacturing
Serve as embedded BI lead for a divisional sales book, delivering actionable insights from syndicated and commercial data, leading opportunity analysis, training field teams, supporting Power BI reporting, and translating complex data into executive presentations to drive sales performance and planning.
Top Skills:
CircanaDaxErpNielsenPower BI
Healthtech • Pet • Biotech
Lead design and implementation of end-to-end ELT pipelines and transformation layers (dbt) to produce curated, reporting-ready datasets. Define data models, governance, metadata, lineage, and engineering standards. Partner with cross-functional teams to translate requirements, optimize performance and costs (cloud DW like Snowflake), and grow a data architecture practice that supports BI, self-service analytics, and AI agents.
Top Skills:
Automated TestingCi/CdData LineageDbtEltMetadata ManagementOrchestration ToolingPythonSigmaSnowflakeSQLVersion Control
Fintech
Senior Data Office leader responsible for shaping enterprise data governance, operating model modernization, and transformation to ensure trusted, accessible data. Advises executives, drives organizational change, aligns data investments to business priorities, and embeds governance into operations to support analytics, regulatory reporting, risk management, and AI readiness.
Social Impact
Lead and scale Prevail's Research function: set vision and strategy, manage and hire researchers, run complex quantitative and qualitative analyses, build cost-effectiveness and fund-sizing models, evaluate interventions, synthesize evidence into clear decision-ready outputs, and advise senior leaders to inform philanthropic investments.
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