Top Senior Data & Analytics Jobs

Leads paid media analytics initiatives, including media mix modeling, experimentation, attribution, forecasting, and scenario planning. Owns data workflows using SQL, Python, and Databricks; translates findings into recommendations for marketing and senior leaders. Partners cross-functionally to define metrics, communicate analytical insights, automate reporting with AI and GenAI, and optimize media investments against business outcomes.

Leads business performance analysis for Expedia Lodging and Portfolio brands, evaluating site metrics across brands, geographies, channels, platforms, and business lines. Sets and reforecasts performance targets with Finance and business leaders, monitors results, optimizes spend allocation, identifies performance drivers, and communicates insights to senior stakeholders. Builds trusted partnerships across Finance, Marketing, Analytics, Product, Technology, and Supply teams.

Designs, develops, and operates scalable batch and streaming data pipelines and products. Integrates data from multiple sources, improves reliability and performance, establishes reusable engineering patterns, and supports AI, search, analytics, and machine learning workloads. Partners with technical and business stakeholders on architecture and requirements, while providing technical guidance and mentoring to less-experienced engineers.

Leads data engineering, data science, and AI initiatives, including Snowflake architecture, ETL pipelines, AWS data systems, data warehousing, analytics, and AI/ML solutions. Manages data governance, dashboards, experimentation, and web analytics integrations while building and mentoring multidisciplinary teams. Partners with Product, Editorial, Engineering, and business stakeholders to translate data needs into scalable solutions and drive business impact.

Lead enterprise data engineering and integration efforts, designing pipelines, data models, migration strategies, automation, and highly available database solutions. Support MongoDB, Cassandra, and Oracle environments; perform performance tuning and operational support; and implement automation using Liquibase, Harness, Python, and OpenShift. The role provides technical leadership, mentoring, vendor communication, collaboration with security and application teams, and oversight of complex projects in a regulated banking environment.

Design and evolve enterprise-scale data architectures, including system-to-system data flows, conceptual and logical data models, and reusable data products. Lead solution evaluation and deployment, develop architecture deliverables, analyze requirements, and collaborate with engineering and product teams to deliver cloud-based digital and data solutions. The role is onsite five days per week in Chicago or Peoria and requires up to 5% travel.

Staff Data Engineer responsible for setting technical direction, architecting scalable data platforms, leading cross-functional initiatives, improving reliability and performance, and enabling AI-assisted analytics and development. The role includes hands-on development with Python, SQL, cloud data warehouses, orchestration, infrastructure as code, Kubernetes, Kafka, and streaming pipelines, along with mentoring, technical advocacy, documentation, code reviews, and on-call troubleshooting.

Lead business intelligence initiatives supporting Snapchat’s Sales organization. Analyze data from multiple sources, identify campaign and industry trends, build dashboards and reports, deliver actionable revenue insights, and recommend optimization strategies. Partner with cross-functional teams on measurement strategies, product feedback, revenue programs, and growth initiatives. Communicate complex analyses to technical and non-technical audiences and influence business decisions through compelling data stories.

Leads the People data ecosystem, including Snowflake workforce data models, pipelines, governance, metric certification, and data quality. Develops scalable workforce analytics products using Visier and Snowflake, enables governed AI-driven insights, replaces manual reporting with self-service solutions, and manages a high-performing team of data and analytics professionals.

Analyzes account portfolio whitespace, pipeline, deal performance, campaign attribution, rep productivity, budgets, forecasts, and expenses. Builds models and executive reporting to improve revenue planning, forecast accuracy, and account management decisions. Partners with Account Management, Finance, Marketing, Contract Administration, and regional leaders; validates Salesforce data and translates complex findings into actionable recommendations.