Top Senior Data & Analytics Jobs

Owns the design, development, deployment, and support of B2B data pipelines using BigQuery, dbt, Python, and orchestration frameworks. Translates client requirements into scalable data models, integrates CRM and marketing data, builds measurement and activation pipelines, and ensures quality through testing, validation, monitoring, and observability. The role also standardizes reusable B2B data capabilities, troubleshoots production issues, and supports account-level marketing-to-revenue measurement across multiple clients.

Leads RentSpree’s Data organization across data engineering, data science, analytics, and strategy. Owns the data and ML roadmap, analytics self-service, experimentation standards, governance, data quality, vendor strategy, and GTM data foundation. Manages analytics leaders and partners with engineering, product, finance, executives, and the Board to drive data-informed strategy. The role also scales globally distributed teams, develops talent, and remains hands-on enough to review SQL, models, metrics, and warehouse architecture.

Develop and maintain data engineering tools, services, ETL pipelines, ingestion processes, data transformations, extraction tools, and enterprise data models. Analyze structured and unstructured source data, optimize query performance, process large data volumes, collaborate with data scientists, and provide project documentation.

Own enterprise data platform architecture, modeling, pipelines, testing, and documentation using technologies such as AWS Redshift and dbt. Translate complex data into actionable commercial insights and client growth strategies. Lead executive client relationships, roadmap discussions, KPI definition, QBRs, and consulting delivery. Manage and develop a sizeable cross-functional team across offices and time zones while aligning data governance, analytics, marketing, engineering, and CI/CD practices.

Provides GIS and geospatial expertise across environmental, infrastructure, and regulatory projects. Responsibilities include spatial and non-spatial data management, QA/QC, thematic mapping, spatial analysis, web maps, dashboards, field data workflows, cartographic production, and data integration. The role collaborates with multidisciplinary teams, supports project delivery, troubleshoots technical issues, improves repeatable workflows, and mentors junior GIS staff using Esri ArcGIS platforms.

Owns clinical data operations by building and maintaining ELT pipelines, warehouse models, data contracts, quality controls, reconciliations, dashboards, and monitoring. Integrates clinical, laboratory, sequencing, and corporate data into validated, audit-ready systems. Supports production reliability, partner data transfers, regulatory compliance, root-cause analysis, documentation, stakeholder collaboration, and technical guidance for research and development teams.

Build and lead an applied analytics function that consolidates insurance data, creates trusted sources of truth, improves operational efficiency, and structures data for AI applications. The role owns solutions end to end across architecture, modeling, testing, governance, and production deployment using Snowflake and Azure. Initially hands-on, the leader will partner with Data Engineering and business teams, then hire and mentor data engineers, analytics engineers, and analysts while demonstrating measurable business impact.

Leads a business analytics team supporting revenue-management pricing decisions. Translates ambiguous business questions into hypotheses and analytical solutions, analyzes large structured and unstructured datasets, oversees A/B testing, and delivers recommendations on revenue, occupancy, yield, and pricing strategy. Manages senior analysts, prioritizes projects, coaches team members, and communicates findings to senior executives and revenue-management stakeholders.

Leads a business analytics team supporting cruise revenue management and pricing decisions. Translates ambiguous business questions into analytical objectives, hypotheses, and actionable recommendations using large structured and unstructured datasets. Oversees A/B testing and causal analysis to optimize revenue, occupancy, and yield. Partners with senior revenue-management stakeholders, presents findings to executives, prioritizes projects, coaches analysts, and manages team performance and development.

Owns global workforce dashboards, reporting products, analytical data models, and executive-ready insights. Integrates HR, finance, IT, recruiting, payroll, and engagement data to analyze workforce trends, retention, costs, performance, and organizational health. Partners with cross-functional stakeholders to define metrics, improve data quality and governance, automate reporting, and translate complex findings into actionable business recommendations while protecting confidential employee information.