Top Remote Data & Analytics Jobs in Pensacola, FL

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

The Senior DataOps Engineer oversees data management and storage systems, ensuring timely access to secure and accurate data, improving data workflow automation, and collaborating with teams to meet business needs.

The role involves developing insights from data to shape strategies for eyewear and software operations, focusing on customer experience, operational efficiency, and business growth. Collaboration across functions and advanced analytics are key to identify trends and enhance the customer journey.

The Strategy Analyst provides analysis and strategic recommendations to enhance sales, underwriting, marketing, and operations, leveraging data to drive business growth and improve operational efficiency.

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.

The Solutions Architect will lead the creation of AI-driven tools and data models, partnering with teams to transform complex datasets into actionable insights and developing robust dashboards and frameworks to empower business solutions.

The Solutions Engineer for media will curate and validate datasets from Protege's catalog, collaborating with sales and partners to meet customer AI data needs effectively.

The Senior Data Engineer will design and maintain data pipelines, write production-grade Python and SQL code, and support AI initiatives while collaborating across teams.

The Business Analyst will gather requirements from clients, support project lifecycles, conduct demos, and manage change, while utilizing ServiceNow. Responsibilities include documentation and relationship building.

Lead a small BI team while remaining hands-on: write advanced SQL, build dashboards and models, enable self-service analytics, set governance, surface insights for stakeholders, and shape a BI roadmap that scales with alerting, anomaly detection, and applied AI/ML.