Top Data & Analytics Jobs

Conduct data-driven business analyses for field performance, spend, procurement, and vendor reporting. Gather requirements, query and organize data from SQL and enterprise reporting systems, build reports and spend models, track vendor benefits and compliance, analyze sourcing responses, identify cost-saving opportunities, and present insights to stakeholders. Apply AI-assisted tools and automation to improve analysis, reporting, and documentation workflows.

Collects and analyzes competitive, market, pricing, content, industry, and media data to produce recurring and ad hoc reports. Synthesizes metrics and research into actionable insights supporting marketing, competitive strategy, and cross-departmental decision-making. Responsibilities include data visualization, dashboard development, quantitative and qualitative analysis, report writing, stakeholder support, and business requirements analysis.

Lead advanced data analysis and campaign measurement initiatives, developing statistical models, causal inference methods, dashboards, reporting solutions, and measurement frameworks. Collaborate cross-functionally to evaluate campaign effectiveness, validate incrementality, investigate anomalous results, and provide actionable recommendations. Present complex analytical findings and limitations to executives, influencing strategic and operational decisions. The role requires expertise in SQL, statistical modeling, data visualization, and data science programming languages.

Lead a small Legal Intelligence team to design, build, and maintain Legal data pipelines, models, and BI solutions. Drive data governance, partner with Legal and IT, embed data strategy into tools, deliver dashboards and AI-enabled insights, and manage roadmap and team performance.

Design and build cloud, on-premises, and hybrid data architectures and pipelines; perform data wrangling, ETL validation, and streaming ingestion; integrate CI/CD and automated testing; develop automation and Agentic AI data workflows; collaborate cross-functionally, mentor engineers, and support analytics, reporting, and supply chain AI/ML use cases using Azure, Databricks, Snowflake, Denodo, and relational databases.

Senior individual contributor leading end-to-end business and systems analysis for complex finance and compensation systems. Drive requirements, assess system impacts, investigate data discrepancies, and recommend scalable solutions. Partner cross-functionally with Finance, IT, Product, and Operations. Mentor analysts, present findings to senior leaders, and ensure systems align with financial controls and operational requirements.

Lead design and delivery of scalable data warehouses and analytics platforms for T-Mobile Advertising Solutions. Architect and implement cloud data pipelines, mentor engineers, run design workshops, scope projects, and deliver end-to-end data solutions using cloud data services and modern data platforms.