Top Entry Level Data & Analytics Jobs in Miami, FL

Build and maintain Databricks data pipelines using SparkSQL and PySpark, integrating payer, provider, claims, platform, and API data. Develop transformations, models, file exchanges, dashboards, automated workflows, tests, and data-quality validations. Collaborate in design and code reviews, use AI coding tools responsibly, and protect PHI through governance, access controls, and audit logging.

Build and support scalable data platforms, pipelines, warehouses, lakes, integrations, and transformation processes. Improve data quality, observability, testing, monitoring, security, and platform performance. Collaborate with analysts, data scientists, engineers, product teams, and business stakeholders to deliver trusted data solutions. Opportunities may include cloud data engineering, architecture, streaming, analytics engineering, governance, and technical leadership. This is a proactive talent community posting for future opportunities, with travel up to 10%.

Lead live DeFi education sessions, support approximately 400 students per six months, explain complex crypto concepts simply, research crypto projects, write DeFi articles, create video content, and conduct trading, technical, and on-chain analysis to evaluate investments and identify opportunities.

Reviews and validates music royalty statements, investigates data inconsistencies, and converts financial reports into standardized datasets. Builds Python automation tools, improves processing accuracy and scalability, monitors operational metrics, and collaborates with Engineering, Finance, Investment, Research, and Product teams to support pricing and underwriting decisions.

Lead and mentor data engineering and DBA teams while driving GCP-based streaming and batch data platform initiatives. Oversee BigQuery, dbt, Apache Flink or Dataflow, data quality, testing, observability, governance, reliability, and cloud cost optimization. Remain hands-on with coding, code reviews, architecture, and complex system problems while aligning data infrastructure with business and product goals. Champion AI-assisted engineering and automation across the platform.

The Data Analyst will organize, validate, transform, and reconcile data from multiple healthcare practice management systems. Responsibilities include writing SQL and Python scripts, supporting a centralized data warehouse, building BI dashboards, validating data quality, analyzing business trends, documenting data processes, and partnering with Finance, Operations, Marketing, and leadership to deliver actionable insights.

Collect and transmit data from retail stores using a hand-held scanning device. Responsibilities include counting inventories and scanning UPC codes.

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.

This position involves supporting client-based data analytics and engineering projects, utilizing SQL, Python, or R, and presenting findings clearly.