Top Data & Analytics Jobs in Miami, FL

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

As a PhD intern, you will develop and test trading strategies, perform statistical analysis, and collaborate with senior researchers.

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.

As a Salesforce TPM Manager, you will lead Trade Promotion Management implementations, translate requirements into solutions, mentor teams, and foster client relationships while ensuring adherence to project quality and timelines.

Lead design and build finance-focused data products and enterprise lakehouse platform capabilities. Develop reusable data engineering frameworks, Spark/Iceberg-based pipelines, Airflow orchestration, CI/CD and IaC on AWS, and enforce data quality, lineage, and governance standards.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

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.

As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.

Own design, build, and reliability of a cloud-native data lakehouse (Bronze->Silver->Gold). Build scalable ETL/ELT pipelines (ADF, Airflow), optimise Snowflake, develop dbt models, embed data quality/observability (Elementary), manage ADLS Gen2 and Azure serverless components, and drive infra-as-code, CI/CD, and cross-team collaboration.

Design, build, and improve recurring and ad-hoc reports, dashboards, and BI tools. Partner with FP&A and IT to validate requirements and data integrity, extract and automate data pipelines, apply analytics to identify financial opportunities, and communicate results to stakeholders while ensuring regulatory compliance.

Design, build, and maintain enterprise ETL pipelines using Informatica; support production stability, troubleshoot failures, ensure data quality, and collaborate with stakeholders. Provide optimization, documentation, and exposure to cloud platforms (Snowflake, AWS, dbt).

The role involves leading analytics for product and marketing, defining measurement strategies, running experiments, and developing predictive models to optimize growth and performance.