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Top Data & Analytics Jobs in Miami, FL
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Analyze complex datasets, develop data models, dashboards, and visualizations, and conduct predictive and statistical analysis for client decision-making. Collaborate with clients to deliver tailored analytics solutions, maintain data integrity, communicate insights through reports and presentations, and support data-driven operational strategies using SAS, Power BI, Tableau, and SQL tools.
Top Skills:
AWSAzureDatabricksGoogle Cloud PlatformMicrosoft Sql ServerMicrosoft Sql Server Data ToolsPower BIPythonSASTableau
Information Technology • Software • Financial Services • Big Data Analytics
As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.
Top Skills:
C++PythonR
Information Technology • Software • Financial Services • Quantitative Trading
As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.
Top Skills:
C++CudaPython
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
Lead pricing programs by analyzing large transactional datasets, designing and measuring pricing tests, partnering with engineering and data science to build automation, and translating insights into scalable pricing processes that improve price perception, margins, and customer trust.
Top Skills:
PythonSQLTableau
eCommerce • Fintech • Real Estate • Software • PropTech
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.
Top Skills:
AIAirflowBigQueryDbtLlmsPythonSnowflakeSQL
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Artificial Intelligence • Blockchain • Software • Cryptocurrency
Build and operate production data pipelines and services integrating APIs, SFTP, files, databases, and cloud systems. Orchestrate workflows with Airflow and Google Cloud Composer, model data in BigQuery and Snowflake, support cloud infrastructure, and implement monitoring, data quality, security, governance, and production support practices. The role also involves incident resolution, documentation, testing, CI/CD, and collaboration with stakeholders and external providers.
Top Skills:
Apache AirflowArtifact RegistryBashBigQueryCi/CdCloud RunCloud SqlDbtDockerGitGitGoogle Cloud ComposerGoogle Cloud StorageGrafanaIamLinuxMetabasePostgresPythonRest ApisSecret ManagerSftpSnowflakeSQLTableau
Insurance
The Data Engineer role supports Sedgwick’s data engineering initiatives. The provided description contains limited role-specific information and does not detail responsibilities, required technologies, qualifications, travel, or clearance requirements.
Other
Lead enterprise marketing measurement strategy, govern data collection and BI tooling, ensure HIPAA-compliant analytics, build dashboards and attribution models, enable analytics literacy, manage vendors, and deliver decision-ready insights to senior leadership across university units.
Aerospace
Coordinates data processing and purchasing-related requests for utility programs. Reconciles information across internal and external systems, investigates discrepancies, maintains accurate records, performs data entry, coordinates field documentation, and creates operational and client-facing reports. Communicates with utility clients, field supervisors, and project teams while identifying process improvements that enhance efficiency, data quality, and customer satisfaction.
Top Skills:
Excel
Aerospace • Security • Energy • Industrial
Coordinates data processing and purchasing-related requests for utility program operations. Reconciles information across systems, investigates and resolves discrepancies, maintains accurate records, coordinates field documentation, performs data entry, and creates operational and client-facing reports. The role communicates with utility clients, field supervisors, and project teams while identifying process improvements that enhance data quality, efficiency, and customer satisfaction.
Top Skills:
Excel
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