Top Analytics Jobs in Miami, FL

Serve as a strategic analytics advisor designing and implementing Adobe Analytics and CJA solutions, conducting measurement workshops and audits, building dashboards, translating insights into action, training clients, and ensuring data security and privacy compliance.

Leads and develops a team of Conversion Data Analysts, owning workload prioritization, delivery quality, and performance outcomes. Uses KPIs and data to identify risks, guide decisions, and improve high-volume conversion workflows. Partners with project management, Engineering, Product, Support, and leadership to ensure accurate data mapping and successful customer onboarding. Requires people leadership, SQL, Excel, data validation, CRM, and conversion tooling experience.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

Manages the enterprise Data Governance and Analytics Center of Excellence, leading staff, governance initiatives, analytics strategy, maturity modeling, budgets, vendors, and planning. Coordinates data quality, stewardship, privacy, acquisition, and release programs while partnering with data scientists, engineers, technology governance teams, and business stakeholders. Develops executive presentations, aligns enterprise definitions and algorithms, establishes standards, and ensures analytics projects and business cases meet organizational objectives and deadlines.

Serves as a strategic analytics partner to Marketing, owning funnel, attribution, ROI, account scoring, experimentation, and pipeline analytics. Builds scalable datasets, dashboards, and quality controls while connecting customer, campaign, product usage, CRM, and revenue data. Delivers executive-ready reporting, QBR insights, and recommendations that improve conversion, marketing investment effectiveness, account-based marketing, product adoption, and pipeline growth.

Owns analytics datasets and data products for Netflix’s cloud games infrastructure. Builds scalable pipelines, data models, metrics, dashboards, tooling, and self-service assets from massive telemetry data. Partners with infrastructure engineering, data engineering, and data science teams to improve quality of experience, capacity, and utilization insights. Responsibilities include telemetry and logging, visualization, trustworthy documentation, scalable data solutions, and independently prioritizing high-impact investments.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Embed with agency teams to turn underused data (call transcripts, CRM activity, financials) into structured, actionable insights. Build repeatable pipelines and analytics products, push trusted metrics into the semantic layer, partner with Analytics Engineering and Data Science, and track insight-to-action outcomes tied to client accounts.

Design and maintain scalable dbt data models and ELT pipelines in Snowflake. Architect data foundations to power AI and LLM-enabled workflows, operationalize core SaaS metrics, and build reusable data assets for analytics and activation. Partner cross-functionally to embed analytics into workflows and ensure scalable, secure architecture.

Design and maintain scalable dbt data models and ELT pipelines in Snowflake; architect reusable data assets, governance, and SaaS metrics; build AI-enabled data foundations and LLM workflows; integrate analytics into operational tools and partner cross-functionally to productionize AI-driven use cases.

Manages global sourcing analytics across travel, gaming, and onboard media categories. Designs Power BI dashboards, analyzes complex datasets, builds business models, and delivers insights supporting sourcing strategies, negotiations, and operational improvements. Leads data governance, automation, AI adoption, and reporting optimization while serving as the team’s Power BI subject matter expert. Partners with IT, Finance, and Centers of Excellence to improve data structures, analytics tools, and transactional data quality.

Manage global sourcing analytics for travel, gaming, and onboard media categories. Design and maintain Power BI dashboards, analyze complex datasets, build models, identify sourcing opportunities, and support negotiation strategies. Lead data governance, automation, AI adoption, and analytics projects while partnering with IT, Finance, and sourcing teams. Ensure data integrity and improve reporting efficiency across enterprise-scale datasets.

Manages global sourcing analytics for travel, gaming, and onboard media categories. Designs and maintains Power BI dashboards, analyzes complex datasets, develops models, identifies sourcing opportunities, and supports negotiation strategies. Leads data governance, automation, AI adoption, and analytics improvement initiatives while partnering with IT, Finance, and other stakeholders. Serves as the team’s Power BI subject matter expert and oversees data integrity, reporting accuracy, and enterprise-scale analytical solutions.

Leads the design and delivery of scalable analytics solutions using Azure Databricks, Power BI, and related platforms. Transforms and validates structured and unstructured data, applies statistical techniques, develops dashboards and analytical models, and implements data governance and quality processes. Partners with business and technology stakeholders to translate requirements into technical solutions, provides peer guidance, monitors data trends, and communicates actionable insights to technical and non-technical audiences.

Leads data strategy and analytics for the Risk/Credit team, translating complex datasets into insights for Credit, Operations, Marketing, Product, and Finance. Responsibilities include automating Python/R workflows, building Tableau dashboards, partnering with Data Engineering on Databricks workflows, conducting strategic analyses, monitoring data quality, presenting recommendations to leadership, and documenting analytical methodologies. The role requires strong SQL, cloud data warehouse, visualization, analytics programming, distributed computing, and version-control expertise.

Lead the firm’s analytics strategy, roadmap, and growing analyst team. Partner with executives and law firm operations leaders to define KPIs, evaluate performance, identify bottlenecks, build forecasting and predictive capabilities, and translate data into business actions. Guide SQL, Python/R, statistical modeling, visualization, data quality, and analytics infrastructure standards while partnering with technology and data engineering teams to embed insights into operational workflows.

Design and develop scalable analytics tools, dashboards, evaluation frameworks, and observability systems for promotional media and marketing workflows. Partner with machine learning engineers, data scientists, product managers, and business stakeholders to monitor algorithm adoption, pipeline health, performance drift, and SLA adherence. Translate ambiguous creative and quality requirements into measurable objectives, improve recommendation and asset-generation models, and use data insights to guide business decisions.

The Data and Analytics Consultant collaborates with clients to develop strategic data solutions, facilitate transformation initiatives, and implement data governance and analytics frameworks. Responsibilities include designing data platforms and visualizations, and delivering actionable insights to drive business results.

Build and optimize end-to-end data pipelines, production-grade dbt models, BigQuery schemas, Fivetran integrations, and Looker semantic layers. Partner with clinical, operations, finance, and growth teams to translate business questions into analytics projects focused on acquisition, attribution, conversion, and funnel performance. Establish data quality, governance, documentation, testing, and version-control practices while mentoring analysts and supporting secure, compliant data use.

Own end-to-end analytics delivery for a client POD, translating business priorities into workplans, coordinating cross-functional teams, governing delivery and revenue KPIs, and managing risks through resolution. Perform hands-on data profiling, validation, reconciliation, exploratory analysis, automation, and quality reviews using SQL, Python, Databricks, and Excel. Create executive-ready KPI, revenue, and business-impact narratives, prioritize initiatives, support business cases, and identify opportunities for analytics automation and AI-enabled improvements.

Lead growth of the customer analytics practice in Communications, Media & Technology. Define strategy and thought leadership, communicate analytics value, and lead large-scale, complex client engagements. Deliver customer analytics, CRM modeling, reporting, and predictive analytics solutions while mentoring teams and driving client relationships.

Lead destination operational analytics: build dashboards, KPI architecture, and labor productivity models; support Manning Optimization, OPEX/CAPEX planning, Voice of Customer analysis, and executive reporting using AI-enabled tools to drive performance improvements and measurable savings.

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 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.

Build and maintain a regulatory reporting data platform using SQL and dbt, including models, automated validations, data pipelines, and testing. Investigate data issues end to end, validate submissions, support audits and legal data requests, monitor upstream changes, collaborate with product, engineering, compliance, and leadership, and participate in on-call coverage. WOOF WOOF