Top Data & Analytics Jobs

Designs enterprise data ecosystems spanning legacy and cloud platforms. Leads data modeling, ETL/ELT architecture, Azure data solutions, governance, metadata, lineage, validation, curated datasets, and semantic layers. Translates business KPIs into technical components, guides architecture reviews, manages technical debt, and partners with engineering and business stakeholders. Requires strong SQL and Python skills, hybrid infrastructure experience, and advanced data architecture expertise.

Develop and maintain scalable data pipelines, streaming systems, data warehouses, and analytics infrastructure using Kafka, Flink, ClickHouse, SQL, Java, Python, AWS, and related technologies. Assemble complex datasets, improve data delivery and process efficiency, validate data integrity, support Tableau analytics, document business processes, assist with testing and project delivery, and collaborate with technical and business stakeholders.

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.

Leads eCommerce marketing analytics and customer acquisition strategy across paid search, social, display, and affiliate channels. Translates complex data into recommendations for investment, attribution, forecasting, and channel performance. Oversees dashboards, experimentation, statistical analysis, bidding models, and scalable reporting infrastructure while partnering with marketing, data science, engineering, and senior leadership. Manages and mentors analysts and drives end-to-end analytical initiatives that improve profitability, customer experience, and marketing efficiency.

Partners with institutional stakeholders to define analytical needs, conduct data analysis, identify trends and risks, and translate findings into actionable insights. Builds and maintains Tableau dashboards, reporting products, data assets, transformation logic, and analytics infrastructure. Ensures data quality, consistency, documentation, and reliable business metrics. Provides guidance on reporting and analytical practices, supports dashboard development, and may supervise or mentor analytics staff.

Serves as a data-management subject matter expert supporting intelligence and counterintelligence organizations. Establishes data frameworks, governance policies, metadata standards, quality controls, interoperability processes, KPIs, dashboards, and analytical products. Advises leadership on modernization, resource allocation, and operational planning; coordinates with data scientists, engineers, security personnel, and Intelligence Community stakeholders. Requires active TS/SCI CI Poly and on-site work in a DIA SCIF.

Develop and maintain end-to-end data pipelines, data models, backend architectures, and campaign-planning tools for Disney’s Performance Marketing team. Establish engineering standards for pipeline development, observability, documentation, quality controls, and monitoring. Collaborate with marketers, data scientists, analysts, and engineers to turn prototypes into reliable production applications and ensure advertising optimizations and business metrics remain accurate.

Owns data architecture and pipeline infrastructure for classified government AI model evaluation. Responsibilities include building database schemas, ETL workflows, API-based cross-domain data movement, sensor data standardization, geospatial transformations, pipeline monitoring, governance compliance, and documentation. The role requires collaboration with imagery scientists and government customers in a SCIF-based environment.

Analyze pricing, campaign, and portfolio performance to inform Ad Sales and Capital business decisions. Build dashboards, reports, and analytical tools; identify trends and optimization opportunities; automate recurring processes; monitor campaign and portfolio results; and translate complex data into actionable recommendations. Collaborate with Creator, Ad Sales, Finance, Engineering, and Analytics teams to develop scalable, data-driven solutions.

Own daily data operations, including data collection, pipeline monitoring, quality validation, root-cause investigation, SQL-based cleaning, and Metabase dashboards. Partner with engineering and deployment teams to resolve data issues, standardize metrics, document processes, and build tooling that improves reliability and scalability for government clients.