Top Senior Analytics Jobs in Miami, FL

Leads data strategy for MetLife’s Group Benefits business by connecting business and Data & Analytics teams, establishing shared definitions, resolving ownership gaps, and improving governance and quality. The role leads Data Councils, supports Agile Release Trains, removes data-related blockers, and strengthens data foundations for decision-making, service delivery, analytics, and AI initiatives.

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 a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Build and maintain production data pipelines, dbt models, Airflow workflows, and governed datasets supporting People Analytics. Integrate Workday and other HR systems into reliable Snowflake data products, implement data quality monitoring, row-level security, semantic models, and AI agents. Partner with engineers, analysts, data scientists, and business stakeholders to deliver trusted data solutions, communicate technical trade-offs, enforce governance, and mentor other engineers.

Own the people analytics roadmap, build reliable HR data pipelines and reporting, and deliver workforce, talent, and process insights. Analyze employee lifecycle operations, measure performance, identify automation opportunities, and develop dashboards and predictive analyses for senior leaders. Partner across People, HRIS, IT, Finance, Legal, and data teams to improve data governance, privacy, operational efficiency, and employee experience. Establish analytical standards and coach People colleagues on data-driven decision-making.

Leads and manages a business analyst team supporting a data platform. Partners with clients, product managers, engineers, and stakeholders to gather requirements, write user stories, perform data gap analyses and source-to-target mapping, validate data using SQL, and support data quality, lineage, QA, Agile delivery, change management, and documentation. Requires healthcare data expertise, people leadership, strong communication, and experience translating technical information for varied audiences.

Lead marketplace analytics for Affirm’s two-sided ecosystem by optimizing monetization, supply, demand, pricing, profitability, and user experience. Build KPI dashboards, analyze marketplace and affiliate performance, conduct experiments, evaluate incentives and placement, and perform loan-level profitability analyses. Partner cross-functionally with Product, Engineering, Sales, Client Success, and Marketing to improve merchant value, consumer engagement, conversion, and sustainable GMV growth.

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.

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.

Analyze SKU counts, item-level profitability, design productivity, and pricing across toy products. Build SQL queries and Sigma dashboards, identify margin risks and SKU rationalization opportunities, support new item planning, and communicate actionable insights to nontechnical Brand Operations and marketing stakeholders.

Designs and supports enterprise data architecture, business intelligence applications, data warehouses, ETL processes, and integration environments. Develops architecture roadmaps, standards, governance practices, and technical designs; evaluates data sources, resolves infrastructure performance issues, and coordinates data warehouse architects. Collaborates with business and technical stakeholders to deliver reporting and information-access objectives.

Build scalable cloud-native data and machine learning solutions using Databricks, Spark, PySpark, and SQL. Develop batch and real-time healthcare data pipelines, enterprise data models, Lakehouse architectures, semantic layers, and AI-assisted analytics workflows. Partner directly with business and clinical stakeholders to discover requirements, prototype solutions, deliver demos, drive adoption, and provide technical leadership. Ensure HIPAA-compliant security, governance, lineage, auditability, and regulatory readiness.

Lead commercial data and analytics to enable sales effectiveness via CRM (Salesforce/Microsoft Dynamics); deliver behavioral insights, improve client relationship data integrity, develop measurement and data sources, partner with business and tech teams, and build and coach a high-performing team of business analysts.

Leads commercial analytics and optimization across pricing, promotions, forecasting, financial modeling, and business intelligence. Develops analytical models, evaluates promotional effectiveness, monitors commercial KPIs, and creates dashboards and performance scorecards. Translates complex data into actionable recommendations for Commercial and Operations leaders, validates reporting data, and identifies revenue and profitability opportunities. Manages and develops a Reporting Analyst while partnering with cross-functional teams on continuous improvement.

Leads commercial analytics, pricing optimization, promotional effectiveness measurement, forecasting, financial modeling, dashboards, and performance reporting. Translates transaction and product data into recommendations that improve revenue and profitability. Partners with Commercial and Operations teams, validates reporting data, evaluates vendor-funded programs, and manages a Reporting Analyst.

Leads commercial analytics and optimization, including pricing strategy, elasticity analysis, forecasting, financial modeling, promotional effectiveness, dashboards, and performance reporting. Translates complex transaction and purchasing data into recommendations that improve revenue and profitability. Partners with Commercial and Operations teams, validates reporting data, and manages a Reporting Analyst. The role requires advanced Excel, SQL, business intelligence, statistical modeling, and quantitative analysis skills.

Own BookNook’s Snowflake data platform, including data modeling, access, cost, performance, pipelines, automation, and reporting. Build Python-based exports and state data feeds, develop BI dashboards, support privacy and security requirements, and deliver district, partner, executive, and research reporting. Lead data projects end to end, communicate findings to technical and nontechnical stakeholders, improve onboarding and data quality, and establish foundations for longitudinal student-outcomes research.

Leads product analytics by developing dashboards, defining KPIs, analyzing customer behavior, and delivering insights that guide product strategy and roadmap prioritization. Builds forecasts, business cases, and ROI analyses; partners cross-functionally with Product, Engineering, Customer Success, Sales, and leadership; and ensures accurate reporting and data governance. Supports predictive analytics and AI initiatives while communicating recommendations to stakeholders. This is a fully remote role requiring up to 20% travel.

Leads enterprise analytics and strategy engagements that translate complex business questions into decision-ready insights. Partners with executives and cross-functional leaders to evaluate opportunities, define measurement frameworks, identify data needs, and support growth, transformation, and operational effectiveness. Directs a team of analysts, establishes analytics methodologies, develops talent, and influences enterprise strategy through rigorous analysis, business acumen, and consultative leadership.

Analyzes paid media performance across the full funnel, connecting spend and platform metrics to applications, enrollment, student lifetime value, and ROAS. Builds attribution frameworks, Databricks data pipelines, Power BI dashboards, semantic models, and advanced DAX reporting. Supports marketing mix modeling, experimentation, web analytics data quality, forecasting, governance, and workflow automation. Translates complex analytics into strategic recommendations for executive and cross-functional stakeholders.

Own sales insights and analytics as the trusted source of truth for sales leadership. Build forecast reporting, predictive and machine learning models for deal outcomes, executive dashboards in Salesforce and Tableau, and actionable analyses supporting GTM strategy. Partner cross-functionally on metrics, data governance, QBRs, and strategic planning while translating complex business problems into recommendations.

Build and govern trusted Power BI and Microsoft Fabric reporting products for Microsoft business acceleration. Define KPI frameworks, semantic models, dashboards, data governance, lineage, row-level security, and executive scorecards. Reconcile metrics to authoritative systems and analyze pipeline, revenue, adoption, and utilization trends. Automate recurring reporting and quarterly proof-of-execution evidence while delivering recommendations to leadership and portfolio stakeholders.

Architect and govern shared analytics infrastructure, data models, semantic layers, business metrics, and self-service BI capabilities. Establish standards for datasets, documentation, testing, and reporting tiers while partnering with Data Engineering, Data Science, Analytics, and business leaders. Own data and BI issues, optimize warehouse performance and costs, and coach practitioners on dimensional modeling and analytics practices.

Own the data layer for an AI-native retirement platform, including dbt models, marts, semantic layers, MCP connectors, data governance, product analytics, dashboards, and business metrics. Partner with engineering on warehouse architecture and data contracts while enabling teams and AI agents to securely access trusted data. Serve as the company’s primary data expert across product, servicing, go-to-market, and leadership functions.

Build scalable Python backend services, data pipelines, and analytics platforms supporting fraud attribute development, machine learning model development, deployment, and monitoring. Design maintainable production systems, implement CI/CD and infrastructure as code, manage AWS and on-premises environments, improve reliability and security, troubleshoot pipelines, and process large datasets for analytics and visualization.