Top Senior Analysis Reporting Jobs in Jacksonville, FL

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.

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.

Lead design and delivery of enterprise cloud data platforms using Snowflake and AWS. Architect Data Vault 2.0 models and scalable ELT/event-driven pipelines, mentor engineers, drive performance tuning and cost optimization, implement monitoring and observability, and partner with stakeholders to ensure reliable, production-ready analytics and reporting solutions.

Lead design and implementation of a scalable enterprise data warehouse: dimensional modeling, ETL/ELT pipelines, cloud data platforms, data governance, performance tuning, monitoring, and mentoring. Collaborate with stakeholders and engineering teams to enable analytics, ensure data quality and security, and support data science/ML workloads including feature engineering and NLP components.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Responsible for managing, validating, and analyzing data within Fortegra's data ecosystem, ensuring data accuracy and delivering business insights. Develops reporting tools and collaborates with Data Engineers and business stakeholders.

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce 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, build, and scale end-to-end data pipelines and production-grade data products in Palantir Foundry. Create and maintain ontologies and data models, embed governance, monitoring, and testing, and ensure reliability and quality of datasets. Collaborate with analytics, AI, and business teams to translate requirements into scalable solutions, contribute engineering standards, and support production operations and troubleshooting.

Design, build, and maintain scalable ETL pipelines and data integration solutions using SQL Server, SSIS, and Azure Data Factory. Lead logical and physical data modeling, create data marts and operational stores, ensure data quality and governance, optimize ETL performance, and collaborate with stakeholders to translate business needs into enterprise data solutions.