Top Senior Data & Analytics Jobs in Miami, FL

Lead payer analytics engagements that transform claims, membership, and operational data into actionable insights. Manage project planning, budgets, timelines, deliverables, and client workstreams while coaching analytics teams. Apply statistical analysis, predictive modeling, machine learning, SQL, dashboards, and data visualization to healthcare payer challenges. Validate data quality and analytic outputs, translate modernization needs into solutions, and guide compliance with healthcare data standards and payer regulations.

Leads payer healthcare data engineering and analytics initiatives, designing pipelines, data models, and interoperability frameworks for claims, membership, and provider data. Directs large technical programs, advises clients on data architecture and modernization, validates data quality and HIPAA controls, applies statistical and machine learning methods, coaches technical teams, and presents actionable recommendations to stakeholders.

Leads advanced analytics, reporting, scalable data models, dashboards, and data pipelines supporting Business and Marketing teams. Partners with senior stakeholders and AI Engineering to implement AI and machine learning workflows, predictive insights, and automation. Develops documentation, drives analytics engineering best practices, and mentors team members. Requires strong SQL, Python, APIs, data modeling, stakeholder communication, project leadership, and blockchain expertise.

Manages programmatic analytics and insights for client accounts, leading measurement frameworks, brand lift studies, incrementality testing, and A/B experiments. Develops media and campaign strategies, communicates performance insights to clients, and supports pitches and QBRs. Oversees, mentors, and develops analysts while partnering with Product, Engineering, Sales, and Customer Success teams to improve measurement tools, campaign optimization, and analytical capabilities.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

As a Senior+ Agentic Analytics Engineer, you will design and deploy AI systems that provide actionable insights, build analytics tools, and manage the analytics-to-action pipeline to drive business decision-making using AI.

Leads end-to-end analytical projects, transforming complex data into actionable recommendations for executives, business partners, and clients. Builds predictive models using regression, forecasting, classification, segmentation, and related techniques. Develops Power BI and Fabric assets, supports data governance, modernizes reporting, mentors analysts, communicates insights, and delivers advanced analytics products that improve decisions, operations, customer experience, and growth.

Build and own World Emblem’s centralized Microsoft Fabric data platform. Develop ETL/ELT pipelines from ERP, ecommerce, CRM, middleware, and internal databases; engineer SQL databases and dimensional models; implement data quality, monitoring, security, governance, and CI/CD; and enable Power BI reporting and AI initiatives through reliable, documented datasets.

Designs and evolves enterprise cloud data lake and lakehouse architectures, including Medallion architectures, ingestion frameworks, ETL/ELT pipelines, dimensional models, semantic layers, and data integrations. Establishes data quality, governance, lineage, metadata, security, CI/CD, and infrastructure-as-code standards while collaborating with stakeholders and application teams. Requires strong SQL and experience with Snowflake, Microsoft Fabric, or Databricks. Requires 10–25% domestic and international travel and four days weekly in a VSE office.

Analyzes complex healthcare datasets involving claims, utilization, costs, pharmacy, and performance. Develops reports, dashboards, data processes, forecasts, and analytical models using SQL, Excel, and reporting tools. Ensures data quality, supports regulatory reporting, identifies process improvements, manages analytical projects, and presents actionable recommendations to stakeholders and leadership. Provides training and collaborates cross-functionally to translate business needs into scalable reporting and data solutions.

Leads the design, development, migration, and deployment of scalable data pipelines and cloud data solutions. Establishes reusable ingestion, transformation, quality, governance, compliance, and orchestration processes. Partners with business and BI stakeholders to define data requirements, support financial and operational reporting, and enable AI use cases. Requires expertise in cloud and big data technologies, DevOps, CI/CD, data management, and governance, with preferred experience in Databricks, Snowflake, data warehousing, and finance-domain data.