Top Senior Data & Analytics Jobs in Pensacola, FL

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

Embed with the CRO to deliver GTM analytics and insights: write SQL and dbt models, build Looker and Salesforce dashboards, define and track revenue KPIs, forecast and model revenue, partner with GTM leaders and Data Engineering, lead analytics projects, and translate complex data into executive-ready recommendations to drive upsell and new-business growth.

The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

Advise on automation opportunities, analyze multiple data sources to produce reports, dashboards, and models; validate curriculum data across Navy systems; create visualizations and deliver training; develop and test data algorithms; provide business recommendations to improve operations.

The Principal Technical Product Analyst will strategize and enhance observability and AIOps capabilities, promote insights into operational efficiency, and lead cross-functional collaboration while ensuring standards and frameworks are established.

Lead complex analytics projects for commercial real estate: translate business needs into data solutions, perform advanced statistical modeling and scenario analysis, design launch and change-management plans, mentor junior analysts, and partner with technical teams to implement cloud-based analytics (Azure) and visualization solutions.

Partner with sales to design and present scalable Databricks Lakehouse architectures. Consult on big data pipelines, data engineering, and ML projects, validate integrations, build demos and reference architectures, and act as a trusted technical advisor to grow platform adoption and deliver production solutions.

Design analytical models, metric logic, and data schemas powering an AI marketing product; spec models and partner with engineering and AI teams; lead incrementality testing, power analysis, and MMM support; translate test results into budget recommendations and measurement guidance for paid media teams.