Top Data & Analytics Jobs in Orlando, FL

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

The Business Systems Analyst will link business goals with technical execution, leveraging AI tools to improve efficiency and enhance user experience. Responsibilities include project ownership, creating technical documentation, API integration analysis, and testing new products while collaborating with developers and stakeholders.

The Marketing Research Analyst analyzes marketing data trends, updates forecasts, assists in budgeting, and generates reports to recommend adjustments for marketing strategies.

Lead and manage a QA team focused on data and reporting quality. Develop QA strategies, test plans, and automated scripts for ETL, data pipelines, and BI reports. Validate dashboards (Tableau/Power BI), Snowflake queries, APIs, and data models. Collaborate with data engineers, developers, and stakeholders to identify and remediate issues, and report quality metrics.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines and Airflow orchestration, ingest data from third-party APIs, optimize columnar formats and SQL, support ML initiatives, consult with stakeholders, and provision infrastructure using AWS, Snowflake, Spark, and Terraform.

Analyze and integrate project data to produce dashboards, reports, and visualizations (PowerBI). Automate workflows with Python/R, maintain data integrity across PMIS, extract data with SQL, and present actionable insights to stakeholders and clients.

Work with internal and external datasets and client reference data to support statistical, financial, and econometric model development. Prepare standard and ad hoc reports, perform data management, run models, identify exceptions, and take corrective actions while providing analytical support under general guidance.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.

Lead operations for a portfolio of enterprise data, analytics, AI and automation platforms. Manage onshore/offshore systems engineers and vendors to deliver 24x7 support, incident management, security/compliance, service level management, continuous improvement, and platform lifecycle activities while partnering with architects and business stakeholders.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.