Top Remote Analytics Jobs in Palm Bay, FL

Manage analytics to improve billing and account experiences, financial performance, and customer service. Collaborate across teams to turn data into actionable insights.

The Associate Director, Data Strategy will establish and deliver a comprehensive data strategy for rare diseases, partnering with stakeholders to manage data sourcing, governance, and reporting, while ensuring alignment with business priorities.

The Staff Analyst will design analytical frameworks, lead business case development, and provide insights across departments while mastering insurance analytics.

The Analytics Lead will leverage data analytics to optimize credit strategies, monitor portfolio performance, and collaborate on credit policy with stakeholders across technical and non-technical teams.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

The Staff Analytics Engineer will own the Financial Subledger Data Platform, build dbt models, implement data quality controls, and mentor a junior engineer, ensuring high operational reliability and cross-functional collaboration.

Design, build, and maintain dbt models, ELT pipelines, Looker explores and visualizations. Drive analytics strategy, data discoverability, observability, lineage, and security. Mentor engineers, collaborate cross-functionally, apply software engineering best practices, and integrate AI to scale data products and self-service BI.

Drive marketing performance measurement and attribution by building dashboards, standardizing campaign tracking across HubSpot and Salesforce, running funnel and cohort analyses, ensuring data integrity, and delivering executive reporting to connect marketing activity to pipeline and revenue.

The Director of Growth Strategy & Analytics will lead analytics efforts, develop strategies for consumer engagement, and improve app experiences through data insights and collaboration with teams, utilizing AI tools for automation.

Design and maintain a dbt-based business data layer for GTM metrics, centralize and reconcile multi-source data, implement automated data quality and reconciliation checks, align and document metrics with stakeholders, mentor analytics team, and lead root-cause investigations into complex data anomalies.

Lead development and scaling of financial analytics: build data models, dashboards, and reporting; translate financial data into executive insights; embed predictive analytics; partner with Finance, IT, and business units to improve data quality, governance, forecasting, and automation.

Build and maintain scalable Python-based data pipelines and backend services for analytics and ML workflows. Design software systems, support analytics/model training and deployment platforms, implement CI/CD and IaC, manage AWS/on-prem environments, monitor and improve pipeline reliability, and evaluate new AI technologies to increase platform efficiency.

Analyze business performance, provide insights, improve processes, participate in continuous improvement projects, and collaborate with cross-functional teams.

Lead and build a centralized enterprise analytics organization combining clinical, claims, demographic, and operational data to standardize KPIs, create dashboards, develop predictive models, support performance management, enforce data governance, and deliver analytic products for clinical, finance, and operational stakeholders.

The Analyst provides strategic research and analytics to optimize donor strategies for fundraising, ensuring data accuracy and creating comprehensive profiles of prospective donors.

The Applied Data Scientist will manage client engagements, unifying datasets, building models, deriving insights, and collaborating with teams to implement solutions.

Lead the analytics team for the third-party agent business, driving business strategy, product analytics, and AI-powered insights while fostering cross-functional partnerships.

As a Director in the Data & Analytics team, you will lead client engagements, manage projects, develop strategies, create proposals, and mentor team members in data-driven initiatives.

Lead global partner analytics and planning for partner GTM motions. Build dashboards, business models, AI-enabled workflows, and executive reports to support partner planning, incentives, coverage, performance management, and cross-functional decision-making across hyperscalers, ISVs, marketplaces, and reseller channels.

Lead Southern California risk, actuarial, and analytics strategy for employee benefits. Serve as market-facing advisor, drive client retention and growth, oversee advanced modeling (funding, stop-loss, forecasting), lead analytics team, scale delivery, and partner with national centers of excellence to align tools and execution.

Lead enterprise analytics initiatives across Sales, Marketing, and Operations. Build predictive and statistical models, create KPI dashboards, translate data into executive-ready insights, mentor junior analysts, and partner with stakeholders and data engineering to deliver actionable recommendations that improve acquisition, retention, and channel performance.

Analyze and forecast financial, economic, and market data to support strategic and operational decisions. Develop premium variance reports, set monthly revenue targets, perform A:E analyses, expand explanatory driver interfaces, ensure data integrity and controls, troubleshoot anomalies, and collaborate with actuarial and finance partners.

Lead a team to analyze sales data, build and maintain Power BI and Excel reporting, leverage AI and automation for pipeline and lead scoring, align cross-functional GTM strategies, ensure data quality, and deliver actionable, executive-ready insights to drive sales performance and quota attainment.

Lead BI developer who owns reporting infrastructure end-to-end: SQL-based data extraction from messy sources, LookML/BI model development, dashboard standardization, stakeholder partnership, and performance marketing optimization to drive actionable insights and business outcomes.

Lead analytics function: deliver product, marketing, and business analytics; build and scale the analytics team; partner with CEO to drive growth; be a hands-on manager and top analyst; hire and manage teammates.