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.

Design and execute complex analyses evaluating property claims operations, process changes, tools, and vendor partnerships. Build reporting frameworks, synthesize multi-source data, and translate findings into actionable recommendations for senior stakeholders. Independently lead analytical projects that improve financial outcomes, claims handling, customer results, and operational efficiency.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Designs and maintains scalable ELT/ETL pipelines, data models, and automation systems supporting cloud cost visibility and optimization. Uses Python, SQL, dbt, Airflow, AWS services, and Snowflake to process telemetry and usage data. Optimizes performance, reliability, storage, and compute costs while ensuring data quality, validation, and auditability. Partners with Engineering, Finance, and Product stakeholders on usage-based insights and cost-efficiency initiatives.

Manage macroeconomic and financial datasets for economic forecasting, regulatory stress testing, and reserve estimation. Responsibilities include data collection, updates, validation, revision review, documentation, model-development support, vendor collaboration, and responding to ad hoc requests. The role requires coordinating with modelers and bank teams while delivering accurate results on schedule. Strong quantitative, communication, organizational, and analytical skills are essential; R or Python programming is preferred.

Develops and maintains business intelligence applications, reports, and SQL-based data solutions. Analyzes requirements, builds and tests complex system components, connects operational data sources, tunes queries, and supports data warehouse integrity. Collaborates with technical and business teams, manages small projects, mentors colleagues, provides training, and serves as a subject matter expert for BI applications.

Own the measurement program for a client engagement by building data infrastructure, designing incrementality experiments, managing MMM and measurement partners, and translating analytics into media investment and growth recommendations. The role requires advanced SQL, Python or R, experimentation, cohort analysis, forecasting, and cross-functional stakeholder communication across marketing, product, engineering, data, and finance.

Leads market research and analytics projects for Walt Disney World Resort Hotels. Analyzes quantitative and qualitative research, large datasets, and business performance metrics to generate consumer insights. Synthesizes complex findings into actionable recommendations, reports, and presentations that influence strategy, improve guest experiences, identify commercial opportunities, and support profitability. Builds stakeholder relationships, leads workstreams, and serves as a consumer insights subject matter expert.

Serve as the technical authority for enterprise SQL Server administration and database engineering. Manage configuration, upgrades, patching, performance, security, backups, disaster recovery, and high availability. Design schemas, optimize T-SQL, enforce data integrity, and establish retention policies. Lead incident root-cause analysis, database initiatives, documentation, and continuous improvement while collaborating with DevOps, infrastructure, engineering, QA, and product teams. Mentor developers and maintain highly available, secure, and recoverable production databases.

Leads client-facing data engineering engagements by designing scalable data architectures, pipelines, models, and schemas. Translates business requirements into technical solutions, optimizes data delivery and automation, and supports analytics initiatives. Mentors data engineering teams, collaborates with technical and business stakeholders, contributes to proposals and estimates, and manages project communications. The role requires consulting expertise, strong SQL and big data skills, cloud experience, and frequent client travel.