Top Data & Analytics Jobs

Lead client-facing architecture for Microsoft Data & AI solutions, translating business priorities into secure, governed, scalable architectures and modernization roadmaps. Design lakehouse, batch and streaming platforms using Fabric, Databricks, Azure, Power BI, and related governance tools. Architect AI-ready data platforms supporting generative AI, agentic AI, RAG, vector search, and enterprise data agents. Support presales, proposals, estimation, executive presentations, implementation guidance, and mentorship of architects and engineering teams.

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.

Own and architect marketing and storefront analytics systems, including metric definitions, single sources of truth, multi-touch attribution, marketing mix modeling foundations, semantic models, and data health metrics. Partner with marketing, storefront, and leadership teams to improve acquisition measurement, budget allocation, data quality, and decision-making across international markets.

Maintains carrier rates, analyzes freight data, supports carrier contract management, measures carrier performance, and reports metrics. Uses customer and carrier data to identify issues and support logistics operations. The role emphasizes problem-solving, numerical analysis, attention to detail, multitasking, collaboration, and back-end support. No logistics experience is required because comprehensive training is provided.

Build and deliver accurate, secure audience files for multi-channel marketing campaigns using CRM and campaign orchestration technologies. Create reports and dashboards, maintain campaign calendars, investigate data issues, and perform quality assurance on segments, flows, and output files. The role requires database marketing, SQL or Python, reporting tools, campaign channel knowledge, strong organization, and attention to data accuracy, compliance, and deadlines. This is a hybrid position based in Orlando.

Design, build, and maintain scalable data pipelines and the enterprise data warehouse. Optimize schemas, implement ETL/ELT, manage cloud data infrastructure, enforce security/governance, and partner with BI and technology teams to ensure reliable, performant data for analytics.

Develop and maintain Power BI dashboards, reports, data models, and visualizations. Build solutions using SQL, DAX, Azure, Databricks, and enterprise data sources. Optimize performance, manage governance and refresh processes, troubleshoot data issues, document BI solutions, and collaborate with stakeholders to translate business requirements into technical deliverables. Participate in code reviews, testing, version control, and the establishment of BI development standards.

Lead the design and evolution of an enterprise AWS data platform supporting analytics, reporting, operational decisions, and future AI capabilities. Architect scalable data pipelines, establish data engineering and governance standards, implement infrastructure as code and CI/CD, and deliver reliable data products. Provide hands-on technical leadership, architectural direction, mentoring, and cross-functional collaboration while balancing performance, scalability, security, complexity, and cost.

Supports Equifax’s data strategy by identifying and qualifying potential data sources, managing third-party data acquisition and governance activities, and connecting data sourcing to product revenue. Conducts market and competitive research, develops business cases, tracks portfolio performance through dashboards, and advises stakeholders on data capabilities, value, and acquisition opportunities. Collaborates across teams to implement data requirements and improve the use of data products.

Leads Employee Benefits sales reporting, commercial insights, and broader data strategy. Establishes KPIs, dashboards, governance, prioritization models, trusted data sources, and multiyear roadmaps. Partners with business, Technology, Enterprise Data, Analytics, and AI teams to translate needs into capabilities, improve reporting adoption, and support data-driven decisions. The role begins as a highly visible individual contributor with potential to build a reporting and data strategy team.