Top Data & Analytics Jobs in Jacksonville, FL

Deliver analytics and reporting across television, streaming, digital, social, and cross-platform media. Build dashboards, automate recurring reports, analyze audience and performance data, identify trends, support strategic initiatives, and communicate insights to stakeholders to inform media rights, distribution, and commercial decisions.

The role involves leading analytics initiatives, collaborating with teams to develop solutions, and ensuring customer satisfaction through effective insights and tools. Responsibilities include managing analytics projects, facilitating scrum meetings, and promoting data-driven decision-making within the organization.

Design and implement scalable data lakes, warehouses, and lakehouses. Build Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest data from 3rd-party APIs, optimize columnar file formats and SQL, and support ML initiatives. Serve as technical consultant translating business requirements into data architecture and infrastructure using Spark, Snowflake, AWS/GCP, and Terraform.

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 fraud analytics for financial-services clients: analyze large datasets to detect fraud trends (application, synthetic identity, account takeover), develop prevention strategies, support fraud decision systems, monitor models, create dashboards and reports, and present findings to stakeholders to reduce losses and strengthen controls.

The Senior Data Engineer will design and maintain scalable cloud-native data pipelines, develop APIs, implement advanced analytics, manage AI workflows, and enhance data operations collaboratively.

Design, implement, and maintain automated data testing and validation frameworks to ensure data integrity across ETL/ELT pipelines and reporting. Develop reconciliation, profiling, and automated test scripts; embed quality controls into Snowflake, Oracle, and AWS pipelines; support test environment strategy and governance; collaborate with engineers, QA, and stakeholders to improve DataOps, monitoring, and reporting validation while mentoring junior team members.

Design, architect, and implement scalable, secure AWS-based data pipelines and ETL/ELT workflows. Integrate, transform, and harmonize structured and unstructured data, optimize warehouses/lakes and SQL Server performance, and support dashboards and analytics. Mentor junior engineers, work with customers to clarify requirements, and uphold data governance, quality, and pipeline reliability.

The Quality Data Analyst collects and analyzes quality data to improve manufacturing performance. They support QC and QA teams by generating reports, monitoring metrics, and collaborating on process improvements.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.