Top Data & Analytics Jobs in Tallahassee, FL

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

Develop and enhance trade and commercial reporting solutions using Snowflake, Tableau, and related BI platforms. Modernize manual and legacy workflows into automated dashboards, migrate reporting logic across data warehouses, validate data accuracy, investigate discrepancies, document processes, and collaborate with commercial and technical stakeholders to deliver actionable reporting.

Cleans and categorizes product data by researching UPCs, identifying products, and assigning manufacturers, brands, and grocery taxonomy categories. Performs accurate data entry, validates data integrity, and corrects categorization errors. The remote contractor is expected to process 900–1,200 SKUs weekly while maintaining accuracy and meeting a minimum 30-hour weekly commitment.

Performs high-volume product data analysis and entry, identifying products and assigning manufacturers, brands, and grocery taxonomy categories. Maintains data integrity by researching product information, correcting categorization errors, and ensuring accurate spelling and capitalization. Requires familiarity with U.S. grocery products, store layouts, and merchandising locations. This is a remote, 30–40 hour per week contractor position with specific productivity expectations.

Designs and implements enterprise cloud data architectures supporting analytics, geospatial visualization, data integration, migration, governance, and high-performance querying. Develops conceptual, logical, and physical data models, data lakes, data marts, OLAP solutions, reusable SQL metrics, and Gold-layer structures using Azure services and SQL Managed Instance. Advises clients and business leaders, aligns technical decisions with enterprise roadmaps, leads data modernization efforts, and optimizes performance, scalability, and cost.

Analyze public spending datasets, collaborate with the Deputy Policy Director, and develop comparative research projects that reveal insights about government waste and public policy outcomes. The role involves brainstorming data-driven story ideas, drawing conclusions from proprietary datasets, and pitching findings in a fully remote environment.

Work with clients and technology teams to gather and translate business requirements into technical user stories and solutions, propose process improvements, and communicate effectively with stakeholders. Assist in analytical solution delivery and may write/execute SQL queries.

Analyze marketing and customer data to measure campaign impact, uncover customer insights, and improve marketing ROI. Build Tableau dashboards, write and optimize SQL queries, conduct segmentation and lifecycle analysis, validate data quality, and provide actionable recommendations. Partner with marketing, product, and analytics stakeholders to translate business needs into analytical solutions and support strategy across channels, including spend allocation, targeting, attribution, and campaign effectiveness.

Leads marketing and sales analytics strategy, architecture, and measurement. Builds data models, pipelines, machine learning datasets, attribution and incrementality models, and revenue-performance analyses. Advises leaders on investments, tools, account prioritization, and funnel economics. Establishes data, metric, testing, and privacy standards; partners with Marketing, Sales, Finance, Revenue Operations, Data Engineering, and IT; plans roadmaps; presents recommendations to executives; and mentors analysts and engineers.

Own advanced advertising measurement strategy for Connected TV, including incrementality testing, lift studies, attribution, experimental design, and performance validation. Advise customers and internal teams on interpreting complex measurement results, lead analytical enablement, partner with engineering and measurement vendors, resolve ambiguous post-launch challenges, and translate cross-customer insights into product strategy, go-to-market materials, and scalable best practices.

Designs and delivers backend systems, APIs, data models, ETL workflows, data interactions, and user interfaces. Optimizes data operations for scalability, performance, integrity, and security while contributing to automated testing and CI/CD. Requires strong Python and Apache Spark experience, distributed computing knowledge, Agile experience, and data analysis skills. The role supports healthcare-focused digital services in a remote-first environment.