Top Senior Data & Analytics Jobs in Orlando, FL

Lead design and implementation of enterprise data architecture and cloud-based data solutions. Manage large data engineering projects, develop data models and pipelines, ensure governance and security compliance, advise clients strategically, and build high-performing inclusive teams.

Lead design and implementation of data architecture, ETL/ELT pipelines, data models, warehouses and lakes. Ensure data governance, security, cloud deployments, performance and cost optimization. Coach and manage team members, partner with stakeholders, and drive data-driven solutions for clients.

Design and implement data architecture and scalable ETL/ELT pipelines on cloud platforms (AWS/Azure/GCP). Analyze complex problems, mentor junior staff, ensure data governance/security compliance, liaise with stakeholders, and deliver high-quality client solutions while developing technical and client-facing skills.

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.

Design, build, and maintain Tableau dashboards and scalable ETL pipelines (SQL/Python) into Snowflake. Partner with stakeholders to define KPIs, translate data into actionable insights, mentor analysts, and improve BI processes, governance, and tool performance to support resort operations.

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.

Lead governance and enablement of customer and lead data across Martech and CDP platforms. Define data requirements, identity resolution, and data standards to support segmentation, personalization, campaign activation, and measurement. Partner with Marketing, IT, Data Engineering, and Architecture to modernize customer databases, enforce governance, and translate business use cases into actionable data definitions.

Lead development and maintenance of actuarial data marts, extracts, reports, validations and audits. Drive requirements, technical specs, automations, and financial analyses; mentor staff and coordinate with vendors and business partners to ensure accurate, auditable financial data.

Lead end-to-end customer experience analytics: translate business questions, build/validate datasets, perform root-cause and impact analyses, influence stakeholders, and track post-implementation results. Partner cross-functionally, manage multiple projects, and communicate insights to senior leaders.

Senior Data/Business Analyst responsible for marketing campaign analytics: campaign performance analysis, customer segmentation, attribution modeling, ROI tracking, and data quality. Translate marketing requirements into functional specs and user stories, define KPIs and dashboards, and collaborate with data engineering, BI and product teams to deliver analytics on Azure (ADF, Databricks, Synapse) and MDW.