Top Senior Data & Analytics Jobs in Jacksonville, FL

Owns and leads commercial master data management across HCP, HCO, payer, patient, product, and organizational domains. Establishes governance frameworks, stewardship programs, data quality standards, matching and survivorship rules, and trusted golden records. Manages commercial data platforms, integrations, analytics datasets, releases, vendors, and offshore teams. Writes SQL, builds validations and data pipelines, troubleshoots integrations, supports commercial launches, and drives operational improvements across pharmaceutical commercial systems.

Build and operate core data infrastructure for edge and hybrid environments, including ingestion, OT/IoT integrations, real-time streaming, data contracts, schemas, validation, lineage, observability, telemetry, and scalable query access. The role requires production ownership, reliability practices, customer integration, and collaboration across engineering and customer-facing teams. Candidates should have 6+ years of experience with production data, streaming, or integration systems and proficiency in Python and/or Go.

Support Numerator clients through ad hoc analyses, consumer-panel insights, platform guidance, reporting, and recommendations that improve sales and marketing effectiveness. The role requires understanding syndicated and household panel data, business intelligence platforms, client relationship management, presentations, and data-driven problem solving. It also involves developing expertise in Numerator solutions and sharing consumer behavior findings through industry content, forums, whitepapers, and blogs.

Own the enterprise data glossary, business definitions, governance policies, quality controls, lineage documentation, and approved sources of truth. Translate cross-functional data needs into reusable definitions and reporting, support business users, investigate data quality issues, and coordinate with product and technical teams on data model changes. The role operates independently as a senior individual contributor and drives adoption of governed data across internal and external stakeholders.

Lead Voice of Customer practice through survey and listening-program design, fielding, vendor coordination, data-quality oversight, and synthesis. Manage enterprise insights repositories, decisions journals, methodology libraries, and knowledge-transfer rituals. Maintain VoC and knowledge-management platforms, establish taxonomy and metadata standards, coach peers on research quality and documentation, and ensure organizational insights remain discoverable, credible, and reusable across staff transitions.

Produce executive-grade briefs from cross-functional research and listening programs under compressed timelines. Shape questions, synthesize quantitative and qualitative evidence, craft recommendations and visuals for C-suite and Board, coach analysts, and track briefing-driven decisions to close the loop.

Design, develop, and optimize scalable Databricks data pipelines using PySpark, SQL, Spark, and Delta Lake. Build workflows, ingestion and transformation processes, data quality checks, monitoring, and CI/CD automation. Optimize distributed workloads, configure Databricks compute, support cloud governance and access controls, troubleshoot production issues, and collaborate with technical and research stakeholders to deliver secure, reliable analytical datasets.

Own the measurement program for a client engagement by building data infrastructure, designing incrementality experiments, managing MMM and measurement partners, and translating analytics into media investment and growth recommendations. The role requires advanced SQL, Python or R, experimentation, cohort analysis, forecasting, and cross-functional stakeholder communication across marketing, product, engineering, data, and finance.

Designs and implements Google Cloud database migration strategies, including architecture, data models, database objects, pipelines, orchestration, security, and data transfers. Advises customers on Cloud Spanner and Cloud SQL implementations, translates SQL and stored procedures, configures Google Cloud components, performs performance testing, resolves performance issues, and delivers technical workshops and architectural recommendations.

Develop and optimize marketing reports, monitor product and advertising campaign KPIs, integrate and visualize data, investigate performance deviations, analyze campaigns, and recommend improvements. The role requires strong Google Sheets skills, basic SQL, A/B testing, mathematical statistics, and English proficiency. Python, web analytics, Google Ads, and BI experience are preferred. This is a fully remote position.

Leads supply chain analytics, reporting, automation, and Power BI solutions while managing product readiness portfolios for launches and product changes. Coordinates cross-functional deliverables, governance forums, SKU readiness, risk escalation, documentation, and milestone tracking across commercialization projects. Translates business needs into scalable analytics and digital solutions, communicates insights, and drives stakeholder adoption and operational improvements.