Top Remote Data & Analytics Jobs in Jacksonville, FL

Build and operate scalable batch, streaming, and event-driven data pipelines, cloud data platforms, trusted data products, and analytical models. Improve data quality, observability, reliability, performance, and cost efficiency while supporting risk, finance, product, analytics, and AI initiatives. Partner cross-functionally, influence architecture, lead complex technical initiatives, mentor engineers, and establish strong engineering practices including testing, CI/CD, governance, and infrastructure automation.

Develops governed semantic models, analytical datasets, metrics, and reusable reporting assets using Microsoft Fabric and Power BI. Builds SQL transformations, dimensional models, DAX calculations, validation controls, and enterprise reports. Partners with data engineering, governance, and business stakeholders to document lineage, ensure data quality and security, support AI-ready datasets, modernize reporting, and provide production support.

Leads Bristow’s global Flight Data Monitoring program, overseeing data processing, validation, analysis, reporting, quality control, systems, change management, confidentiality, and stakeholder coordination across participating AOCs. Manages the FDM team, maintains data integrity, evaluates event effectiveness, supports approved event-set implementation, and provides safety trends, KPIs, and recommendations to operational leaders, regulators, customers, and safety groups.

Analyze complex content, datasets, research questions, and logical problems; verify claims through online research; summarize information; evaluate and correct AI-generated responses; and create annotations and scenarios to improve large language model performance. The role is fully remote, full-time for 16 weeks, requires U.S. English fluency, independent work, strong analytical and research skills, and an existing Gemini account with relevant conversation history.

Supports the Reporting and Insights team by developing data models, pipelines, dashboards, and ad hoc analyses. Responsibilities include SQL optimization, data validation, pipeline governance, requirements documentation, release management, stakeholder collaboration, and resolving business and technical issues across teams.

Build and maintain analytics solutions for cloud technology and network infrastructure teams. Responsibilities include gathering requirements, automating reporting, developing self-service analytics, maintaining data pipelines and models, querying multiple data sources, and communicating insights through dashboards and reports. The role supports data-driven planning, capacity management, colocation, and finance decisions while collaborating with technical and business stakeholders.

Analyze customer behavior, forecasts, market share, retention, revenue growth, and operational performance. Develop analytics frameworks, use Tableau and Snowflake with cross-functional analytics teams, apply AI-enabled workflows, and communicate actionable recommendations to leadership to support staffing, prioritization, and strategic decision-making.

Designs, develops, and maintains scalable data pipelines, data warehouses, databases, and analytical systems. Responsibilities include ETL implementation, data modeling, performance monitoring, troubleshooting, infrastructure optimization, process automation, and collaboration with cross-functional teams to support reporting and analytics. Requires 5+ years of data engineering experience and a relevant bachelor’s degree. Financial services experience is preferred.

Analyze complex data to support business decisions across marketing, finance, product, sales, medical affairs, and customer success. Responsibilities include defining data requirements, developing and automating data pipelines, building interactive dashboards, identifying trends and process improvements, and presenting insights to executives and external partners. The role requires advanced SQL, Python, BI, visualization, and cross-functional analytics experience, with an emphasis on using AI to improve efficiency.

Leads market research and insights partnerships across operating groups, shaping research agendas and translating qualitative and quantitative findings into strategic recommendations. Manages and develops insights analysts in a matrixed environment, allocates resources across portfolios, oversees research quality and methodology, and presents actionable findings to executive stakeholders. Requires advanced research, statistical analysis, survey design, storytelling, stakeholder influence, and project management expertise.

Supports PMI’s research agenda through survey, qualitative, secondary, quantitative, business analysis, and foresight research. Analyzes AI, technology disruption, macroeconomic, industry, and future-of-work trends; translates complex findings into executive-ready insights, narratives, thought leadership, and strategic recommendations. The role requires rigorous methodology, independent initiative, cross-functional collaboration, strong communication, and the ability to assess technical developments and their business implications.