Top Analysis Reporting Jobs in Miami, FL

Senior ETL/BI analyst responsible for ETL, Oracle development, BI application development (Hyperion, Tableau), and data warehousing. Create Visio flowcharts, apply Kimball methodology, document functional/non-functional requirements, follow SDLC (Waterfall/RUP/Agile), collaborate in teams, and quickly learn new technologies.

Design and develop Informatica PIM solutions (Product 360) including supplier portal, import/export interfaces, iVOS workflows, IDQ, and batch/real-time integrations. Implement PIM services APIs, work with Java, web services, and databases, collaborate with global stakeholders, and participate in architecture and design reviews.

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.

The Business Analyst will work on clinical Starlims projects, analyze business needs, and transform them into functional requirements while facilitating stakeholder communication and managing change requests.

Perform data processing, exploratory analysis, visualization, KPI design and reporting to support clinical and non-clinical stakeholders. Build and validate analytical models, automate model deployment, conduct root cause analysis, create ad-hoc and periodic reports, and support business continuity planning, testing, training, and regulatory audits.

Design, build, and maintain production-grade data pipelines, Python services, and Databricks workloads for a large-scale financial data platform. Improve performance, reliability, observability, and data models; troubleshoot issues; participate in architecture, code review, and cross-team collaboration to deliver enterprise reporting and integrations.

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

Support the Master Data Manager to set up and maintain a master data warehouse, aggregate and normalize data sources, implement data auditing, and develop T-SQL/SSIS solutions. Collaborate with BI/Tableau developers; focus is on data engineering and warehouse maintenance rather than report creation.