Top Senior Data & Analytics Jobs in Pensacola, FL

The Data SME will provide strategic guidance on data management and analytics, ensuring data quality and governance while collaborating with global teams to improve data solutions.

The Databricks SME will lead the design and development of data platforms and pipelines, optimize workflows, mentor teams, and ensure compliance and security standards.

The Senior Data Analyst will develop advanced Power BI dashboards, perform complex analyses using SQL and Python, mentor junior analysts, and ensure data quality governance.

The Senior Database Analyst will optimize a legacy SQL Server environment and design a modern platform using PostgreSQL and ClickHouse. Responsibilities include auditing server performance, designing database schemas, managing multi-tenant databases, and improving data ingestion methods.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

The Senior Geospatial Analyst performs advanced geospatial analysis, ensuring data integrity and quality, while supporting mission partners with actionable geospatial products. Responsibilities include data validation, quality control, metadata development, and stakeholder collaboration, along with mentorship of junior team members.

Lead architecture and implementation of scalable data systems and pipelines from ingestion to delivery. Own ambiguous, high-impact integrations, improve data quality and reliability, adopt AI-augmented engineering, mentor engineers, and collaborate with Product, ML, and customer teams to ship production solutions.

Design, implement, and manage scalable multi-cloud data platforms and ELT pipelines (AWS/Azure). Build and optimize Snowflake data models, dbt transformations, and Airflow orchestration. Define data engineering standards, enforce governance and quality, collaborate cross-functionally, and mentor global/offshore teams.

Build reliable data models and semantic layer for AI-powered analyses. Support Product, Finance, and Customer Success with SQL-based analytics, BI dashboards, and stakeholder storytelling. Standardize data team processes, prioritize work, and collaborate across company to enable data-informed decisions.

Partner with Sales, RevOps, Marketing, and Customer Success to connect the full revenue funnel. Produce GTM insights using advanced analytics, SQL, and BI tools; communicate findings to stakeholders; standardize Data team processes; mentor analysts and lead data-driven initiatives to drive business outcomes.

Lead data conversion processes, provide expert guidance on Oracle Cloud, and ensure the successful implementation of conversion solutions while collaborating with stakeholders.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.

Design, build, and operate production-grade data ingestion pipelines and dbt transformations into a Databricks lakehouse. Establish data quality, monitoring, and observability. Partner with Product and Engineering to enable metrics, dashboards, and longitudinal patient analytics supporting clinical and operational decision-making.