Top Senior 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.

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.

Lead and grow a data engineering team to design, build, and operate scalable ETL/ELT pipelines and cloud data platforms. Own delivery across client implementations and internal programs, ensure data quality, governance, and compliance (PHI/PII), provide technical architecture oversight, stakeholder collaboration, and continuous improvement.

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.

Lead CRM and operational analytics to improve commercial performance. Integrate and validate datasets, build dashboards and predictive models, identify trends and opportunities, partner cross-functionally to inform decisions, and deliver actionable insights to leadership.

Translate marketing requirements into scalable, identity-aware audiences in Segment. Build and govern audiences, manage data ingestion and identity resolution, monitor data quality and platform health, configure Unify and destination activations, enforce SOPs and governance, collaborate with Marketing/Data/Engineering, and train stakeholders to drive lifecycle marketing and activation.

The Senior Technical Analyst collaborates with stakeholders and engineers to document requirements, ensure quality, and support SDLC activities, while being a trusted advisor on solution design and process impacts.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

Lead Brambles' enterprise data foundations program: define and scale data strategy, governance, MDM, metadata, data quality and architecture; coordinate cross-functional delivery, embed data into ERP/analytics/digital programmes, build teams, and ensure compliance and global adoption.