Top Remote Data & Analytics Jobs in Pensacola, FL

Analyze, clean, validate, and interpret data to identify trends and actionable insights. Develop SQL queries, maintain databases and Excel workbooks, calculate financial KPIs, collaborate with stakeholders, gather business requirements, and present recommendations to nontechnical audiences. The role supports Finance Analytics and contributes to building a new data ecosystem.

Analyzes complex healthcare data supporting claims, provider, member, clinical, HEDIS, pharmacy, and external reporting operations. Extracts, loads, models, reconciles, and audits data from multiple systems; develops management reports; identifies trends and operational impacts; ensures regulatory reporting quality; and mentors other Data Analysts. The role also supports project implementations and requires advanced analytical capabilities.

Defines and documents client business and technical requirements for analytics solutions, collaborates with developers on design and testing, and delivers data ingestion, reporting, dashboards, business intelligence, data warehousing, and advanced AI/ML applications. Partners with delivery and account management teams to ensure customer satisfaction, provide analytics consulting, and recommend appropriate cloud and BI technologies.

Build and maintain branch network performance reporting, dashboards, semantic models, and analytical datasets using SQL and Alteryx. Translate banker, branch, market, and enterprise data into actionable insights for senior leaders. Lead analytical projects, manage timelines, communicate executive-ready findings, improve reporting processes, and mentor junior analysts. Partner with Distribution and Consumer Bank leadership in a hybrid, primarily onsite environment.

Research and monitor political news, government sources, candidates, officeholders, and elections. Update Ballotpedia articles and databases, verify data accuracy, conduct jurisdictional research, write and proofread neutral content, maintain tracking spreadsheets, and collaborate across teams. The role requires strong political knowledge, organization, communication, project management, attention to detail, and flexibility for occasional evening and weekend work.

Build and maintain data models, pipelines, metrics, dashboards, and analytics supporting Netflix’s advertising identity graph, entity matching, and identity resolution systems. Evaluate match quality, coverage, graph stability, and data drift; collaborate with engineering, data science, product, and identity providers; and communicate technical insights and trade-offs to technical and non-technical stakeholders.

Analyze consumer and macroeconomic data to develop insights on inflation, spending, sentiment, retail trends, and broader economic conditions. Create client presentations, written analyses, original research, and thought leadership using public and proprietary datasets. Support sales, consulting, marketing, Federal Reserve, and academic engagements; present findings to clients; design surveys; maintain reusable insights; and mentor associate economists.

Leads business intelligence, workflow automation, and data stewardship for financial risk operations. Builds governed Tableau and Power BI reporting environments, develops Python, SQL, RPA, and ETL solutions, analyzes trends, and delivers predictive insights. Maintains audit-ready controls, data integrity, version management, error handling, and compliance. Partners with stakeholders to modernize manual processes, improve efficiency, track operational performance, and scale self-service analytics.

Build and maintain Nex’s data backend, reporting infrastructure, and automated data pipelines. Partner with Accounting, Finance, Supply Chain, Publishing, and other cross-functional teams to understand data needs, prioritize projects, improve data access, and ensure reliable, cost-effective operations. Investigate issues, iterate on data workflows, and support data environments using AWS and related technologies.

Data Engineer II will modernize BlueLabs’ data platform by leading Kimball dimensional modeling and legacy warehouse migrations, building reliable production data pipelines, and enforcing data quality standards. The role requires advanced SQL, Python, and dbt expertise, hands-on Snowflake and Redshift experience, and ownership of testing, documentation, observability, and scalable architecture. The engineer will collaborate cross-functionally, guide Data Engineer I team members, contribute to architectural decisions, and translate business logic into maintainable, cloud-agnostic data layers.