Top Analytics Jobs in Miami, FL

Lead development and maintenance of destination performance dashboards, KPI architecture, and labor productivity models. Provide analytics for manning optimization, OPEX/CAPEX planning, and guest experience insights. Partner with Finance and destination teams to deliver executive-ready analyses, track savings and actions, and apply AI-enabled automation to improve reporting, decision support, and continuous improvement.

Lead a team delivering financial and operational insights for shipboard operations. Oversee dashboarding, forecasting, data governance, stakeholder engagement, and scalable analytics solutions using Tableau/Power BI and SQL to drive financial performance and decision-making.

Lead e-commerce analytics for Carnival.com: define measurement strategy and KPIs, analyze site performance and purchase funnel, oversee A/B and UAT testing, deliver dashboards and reports, manage vendors, and partner with product, CRM, marketing, BI, and IT. Mentor team members and translate analytics into business recommendations to drive bookings and improve consumer experience.

Lead e-commerce analytics strategy for Carnival.com, overseeing site measurement, funnel and site performance analysis, A/B and UAT testing, reporting/dashboards, vendor relationships, and cross-functional collaboration while managing and mentoring analytics resources.

Develop and maintain destination performance dashboards, KPI architecture, and executive analyses. Support Manning Optimization with labor productivity models and savings tracking. Provide OPEX/CAPEX planning analysis, destination experience analytics (Voice of Customer, capacity, utilization), and Operational Management System reporting. Apply AI-enabled tools to automate analysis and generate insights. Partner with Finance and destination teams to convert data into actionable recommendations and track implementation.

Lead a team delivering shipboard financial and operational insights via dashboards, forecasting, data validation, and cross-functional collaboration. Drive analytics strategy, ensure data quality, and translate complex financial data into actionable recommendations to support decision-making and operational efficiency.

Design, implement, and maintain dbt/Snowflake ELT transformations to convert raw clinical and multimodal health data into trusted, analysis-ready models; enforce data quality, lineage, testing, CI/CD, and documentation; collaborate with clinical and ML teams to harmonize ontologies and support de-identification and ETL across health systems.

Lead measurement and insights strategies across B2B client programs. Analyze earned/social/web data, conduct secondary research, build measurement frameworks and dashboards, deliver client-facing recommendations, mentor junior staff, and advance agency analytics capabilities.

Lead development and governance of the supply chain data warehouse and analytics platforms. Build SQL-driven models, dashboards, and KPIs to drive inventory optimization, cost reduction, supplier performance, and working capital improvements. Support ERP integrations and data migrations, perform deep data discovery and predictive analytics, and present actionable insights to senior leaders to enable strategic decision-making.

Lead revenue operations and business insights by owning GTM and revenue data integrity. Build reporting and AI-driven insights, run billable usage analysis, manage data flows with Fivetran/Salesforce/Sigma, investigate billing disputes, and translate data into actionable narratives for leadership.

The Director, Analytics Infrastructure & Pipeline Operations is responsible for creating automated data pipelines and centralized feature stores for data science, leveraging AI technologies to optimize workflows and ensure data quality.

Lead implementations and analytics for community health centers: run stakeholder meetings, extract/clean/analyze EHR data, write SQL, build reports and visualizations, provide consultative support and training, manage data initiatives, and recommend product improvements.

Lead implementations and ongoing analytics consulting for community health centers: extract, clean, and analyze EHR data (heavy SQL), build reports and visualizations, manage projects and stakeholders, train client data teams, and inform product improvements based on customer feedback and domain expertise.

Lead implementations and provide consultative analytics for community health centers: extract, clean, and analyze EHR data (heavy SQL), build reports and visualizations, manage projects and stakeholders, train health center teams, and inform product improvements based on customer feedback and domain expertise.

The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.

Lead and build Harvey’s people analytics function: design the people data architecture, consolidate HR systems, define metrics and methodology, create dashboards and forecasting models, surface leading indicators for intervention, enable self-serve analytics, and partner with People Ops, Recruiting, Finance, and Data Engineering to drive strategic workforce decisions.

Manage performance, reliability, and accountability for high-volume messaging programs. Build dashboards and alerting, run ad hoc analyses, coordinate incident response and vendor testing, conduct post-incident reviews, and maintain documentation and compliance tracking to inform program decisions and improvements.

Lead the Sales Strategy & Analytics function to deliver reporting, KPI tracking, profitability and competitive analysis, and sales technology ownership. Partner cross-functionally to provide executive insights, optimize tools and processes, drive adoption, and develop a high-performing analytics team that improves sales productivity, profitability, and strategic decision-making.

Design, support, and improve data analytics solutions (OAC and Power BI). Manage data ingestion, ETL, data quality, access, and documentation. Liaise with stakeholders, migrate dashboards from OAC to Power BI, and follow SDLC and project management practices.

Own and evolve the analytics platform: build and maintain dbt data models, govern semantic metrics in Lightdash, ensure data quality and observability, and partner with analysts and stakeholders to enable reliable self-service reporting.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Build end-to-end data and analytics features: ingest and model data, build transformations and pipelines, create client-facing dashboards and interfaces, and develop LLM-powered workflows to accelerate analysis and app development. Partner with stakeholders, perform exploratory analyses, and ensure data quality, observability, and maintainability while influencing data engineering strategy.

Manage end-to-end analytics projects, lead cross-functional teams, ensure client satisfaction, and utilize AI tools to enhance data insights.

Owner of finance data infrastructure and reporting; builds Power BI dashboards and semantic models, develops Excel/Python-based financial models and automations, partners with IT to ensure data reliability, drives AI adoption and pilots, trains finance users, and manages the finance technology roadmap to enable data-driven decision-making.

Design, build, and maintain scalable dbt transformation pipelines and dimensional data models on Databricks. Partner with data engineering and stakeholders to deliver trusted silver/gold datasets, implement data quality tests and monitoring, enable self-service semantic layers, and enhance LLM-driven tooling to accelerate analytics and automation.