Top Data & Analytics Jobs

Analyze workforce, portfolio, and operational data to deliver actionable insights for strategic planning and decision-making. Develop dashboards, reports, and analytical models covering workforce trends, capacity, portfolio health, resource allocation, risks, and performance. Partner with cross-functional stakeholders to define business questions, communicate findings, and recommend improvements. Apply data modeling, structured analysis, and AI/ML-enabled solutions to improve operational effectiveness.

Manages CRM data platform solutions across Expedia Group brands, including Salesforce Data Cloud and Marketing Cloud. Designs and maintains data pipelines, integrations, segmentation logic, ETL/ELT processes, and customer engagement capabilities. Uses SQL, Python, Java, AWS, and DevOps practices for data processing, validation, deployment, and troubleshooting. Oversees data quality, governance, privacy compliance, testing, monitoring, UAT, and stakeholder collaboration while mentoring junior colleagues.

Designs, builds, and operates scalable data pipelines, services, and products supporting clickstream and behavioral data. Responsibilities include data modeling, API and system design, automated quality frameworks, observability, governance, reliability, security, and performance optimization. The role collaborates with engineering, product, analytics, and domain teams, translates complex requirements into production solutions, and applies AI/ML-enabled tools and workflows. It also contributes to technical decisions, data-driven improvements, and operational excellence.

Leads the architecture and delivery of Salesforce Marketing Cloud and Data Cloud initiatives for partner marketing. Designs data models, knowledge graphs, identity resolution, batch and streaming pipelines, APIs, zero-copy integrations, and AI-enabled marketing workflows. Establishes orchestration, monitoring, reliability, CI/CD, governance, and platform standards while mentoring engineers and partnering with marketing, data science, and Salesforce stakeholders.

Lead the architecture and delivery of Salesforce Marketing Cloud and Data Cloud solutions for partner marketing. Design data models, knowledge graphs, identity resolution, batch and streaming pipelines, APIs, zero-copy integrations, and AI-enabled workflows. Establish orchestration, monitoring, CI/CD, governance, and reliability standards while mentoring engineers and partnering with marketing, data science, and Salesforce stakeholders.

Leads end-to-end people analytics projects, translating HR and business priorities into metrics, statistical analyses, visualizations, and executive recommendations. Partners with HR leaders, product teams, machine learning scientists, and data engineers to improve organizational insights, data quality, analytics products, and self-service capabilities. Designs employee listening programs, delivers data-literacy coaching, manages analytics intake, supports product development, and advances analytical practices across the People Analytics team.

Lead customer and product insight portfolios by defining research scope, analyzing quantitative and qualitative data, identifying root causes, and translating findings into measurable product and business recommendations. Partner cross-functionally with Product, Design, Technology, Research, Analytics, and Operations; deliver dashboards and leadership readouts; improve insight governance, tooling, taxonomies, and repositories; and use AI-enabled tools and SQL to accelerate customer analysis responsibly.

Own CRM and customer performance reporting, dashboards, measurement frameworks, and deep-dive analyses. Translate customer, campaign, and commercial data into actionable recommendations for strategic and executive decision-making. Develop KPIs, attribution, forecasting, experimentation, and optimization approaches while improving data quality and reporting scalability. Partner cross-functionally with marketing, finance, product, data, and business teams, and communicate complex findings through clear narratives and executive presentations.

Develops demand, workload, and staffing forecast models using historical data; analyzes trends, performance, risks, and business processes; recommends productivity improvements; monitors outcomes; and presents data-driven findings to senior stakeholders. The role requires advanced SQL, analytical tools, strong problem-solving, cross-functional partnership, effective communication, and the ability to manage multiple high-impact deliverables independently.