Top Data & Analytics Jobs in Tallahassee, FL

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

Lead architecture and buildout of a new graph-backed enterprise data platform: design ingestion, graph and relational storage, entity resolution pipelines, temporal models, ETL/ELT pipelines, governance, APIs, and production connectors. Ship scalable graph data models, traversal queries, and platform roadmap while enabling observability, security, and containerized deployments.

Manage performance, reliability, and accountability for high-volume messaging programs. Build dashboards and alerting, run ad hoc analyses, coordinate incident response and vendor testing, conduct post-incident reviews, and maintain documentation and compliance tracking to inform program decisions and improvements.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Design, build, and maintain Power BI reports, semantic models, and refresh pipelines for financial and operational reporting. Author DAX and Power Query transformations, write/optimize T-SQL, administer Power BI Service artifacts, implement RLS, document data lineage, and provide production support while collaborating with business and IT stakeholders.

Design and build Power BI solutions: analyze data environments, convert WebFOCUS/mainframe queries to T-SQL, create dataflows, views and stored procedures, develop dashboards and paginated reports, administer Power BI workspace, analyze financial data, automate ETL to reduce Excel reliance, and train comptroller staff.

Analyze and document existing WebFOCUS/Mainframe FOCUS reports and data structures, convert queries to T-SQL, build Power BI dashboards and paginated reports, create dataflows, work with DBAs to build views/stored procedures, improve financial data models, administer Power BI workspace, and train staff.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest from third-party APIs, optimize columnar formats, and support ML initiatives using cloud (AWS/GCP), Snowflake, and Spark. Act as technical consultant translating business goals into data architecture roadmaps.

The Database Analyst will manage and maintain Informatica Data Quality software, conduct data profiling, develop data cleansing strategies, and provide consulting services on data conversion and migration processes.

The Data Analyst will oversee database administration, design logical data models, ensure data accuracy, and collaborate with development teams on enterprise applications.