Top Remote Data & Analytics Jobs in Pensacola, FL

Build and maintain product data models, ELT pipelines, semantic layers, and self-service analytics assets. Partner with Product Engineering and Data Governance to define canonical data, certify metrics, document taxonomies, monitor data quality, and support expansion and upsell analytics. Translate business requirements into governed data products, communicate insights to technical and non-technical stakeholders, and ensure data tooling complies with federal frameworks including FedRAMP and DoD IL4/5.

Analyzes, validates, reconciles, and extracts healthcare data from disparate systems using Excel and SQL. Supports SaaS implementation projects, customer troubleshooting, reporting automation through SFTP, and communication of findings to technical and nontechnical stakeholders. The role also assists with data integrity, issue resolution, customer updates, and implementation progress tracking.

Analyzes servicing, collections, application funnel, and contact-center data to identify performance gaps and inform business decisions. Builds automated reports, partner data files, Snowflake and dbt models, and operations dashboards. Maintains metric definitions, audits models, reconciles partner data, and develops business-case analyses. Uses AI tools to improve analytics workflows and collaborates with data engineering, product, and business teams.

Build and maintain production data pipelines and foundational datasets for Market Intelligence. Automate survey ingestion, cleaning, joining, scheduling, monitoring, and reporting-layer integration. Develop repeatable queries, improve data quality practices, document assumptions, support reproducible outputs, and translate research needs into technical solutions. The role requires close collaboration with technical and nontechnical stakeholders and ownership of reliable data infrastructure.

Own commercial and growth analytics for GeneDx’s top line, answering questions about volume, revenue, pricing, coverage, field capacity, and product performance. Serve as a senior advisor to commercial and product leaders, structure ambiguous problems, lead analyses end to end using AI agents, communicate executive-ready insights, support evidence-based decisions, monitor outcomes, and surface emerging opportunities. Maintain analytical governance, apply measurement and experimental design, and contribute reusable methods to the analytics function.

Own pre-sales funnel analytics from lead to closed-won for EverHealth products. Build funnel conversion and pipeline-quality reporting, ICP and win/loss analysis, cohort and TAM analyses, Salesforce dashboards, and actionable insights for Sales, Marketing, and RevOps. Use AI tools to accelerate reporting and support GTM planning, quota modeling, and competitive intelligence.

Leads operational analytics for the Take 5 Oil Change network, translating transactional and market data into insights that improve sales, profits, volume, and shop performance. Responsibilities include complex analysis, KPI reporting, dashboards, executive presentations, operational initiative measurement, stakeholder collaboration, data-quality improvement, and mentoring analysts. The role requires strong Excel, SQL, financial modeling, communication, and multi-shop operations experience.

Supports medical education evaluation and grant-seeking through data manipulation, statistical analysis, reporting, visualization, and stakeholder communication. The role prepares reports, presentations, conference abstracts, and publications using Excel, R, SPSS, SAS, and related tools. It also explores open-ended evaluation questions, manages multiple projects, and applies generative AI to accelerate report drafting, data validation, formatting, and deliverable quality assurance.

Collects and researches equipment cost data for quarterly product updates, performs data analysis, and supports ownership and operating cost calculations. Maintains reports and dashboards, responds to data requests, audits processes, improves documentation, and partners with engineering and data quality teams to streamline workflows and ensure reliable, high-quality data.

Manages enterprise data governance and privacy compliance programs, including GDPR and CCPA adherence, data subject rights processes, governance controls, privacy documentation, compliance metrics, and continuous improvement. Coordinates with business, legal, compliance, security, and technology stakeholders; maintains process documentation; monitors risks and response timelines; supports automation, reporting, awareness training, and audit readiness across global operating units.