Top Data & Analytics Jobs in Pensacola, FL

The Sr Analyst in Marketing Technologies will oversee the evolution of the marketing technology portfolio, ensuring reliable, customer-focused solutions. Responsibilities include designing architectures, delivering features and upgrades, and collaborating across teams. The role demands the adoption of best practices and the ability to monitor emerging trends to enhance the MarTech stack for organizational needs.

The Strategic Planning Analyst will monitor and analyze inventory levels, ensure compliance with OEM contracts, collaborate with engineering teams to optimize aircraft planning, conduct cost comparisons, assist with special projects, manage ERP system accuracy, and develop inventory purchasing strategies based on performance analysis and KPI evaluations.

The Credit Analyst will perform in-depth credit research to identify investment opportunities in US markets. Responsibilities include analyzing capital structures, developing trade ideas, monitoring market developments, and collaborating with the portfolio manager and other analysts.

The role involves leading and developing data engineering capabilities, architecting data solutions, guiding technology choices, collaborating with teams, mentoring engineers, and working directly with customers to address data challenges in a clinical research platform.

The Strategy Analyst will support Operations and Pricing functions by performing strategic analyses, creating reports, forecasting, and providing business recommendations. This role also includes monitoring pricing and building analytic tools for pricing performance assessment.

As an Entry-Level AI Data Rater, you will engage in data management tasks such as data annotation and rating to help improve AI models. You will follow project guidelines, conduct research, and collaborate with teams to ensure data accuracy. This role offers a flexible schedule with comprehensive learning support for entry-level candidates.

As a Senior Data Scientist at Amperon, you'll build and deploy advanced machine learning models for time series forecasting in the energy sector. You'll validate data, create forecasting features, and analyze consumption patterns to optimize energy distribution. Your work will directly impact sustainable energy solutions.