Top Data & Analytics Jobs

Lead high-priority revenue cycle analytics: design and develop reports, dashboards, metrics, and audits. Manage BI and data teams, prioritize projects, liaise with stakeholders, and deliver actionable insights to support Revenue Cycle leadership and strategic objectives.

Support subscriber forecasting and acquisition planning for Disney+ US/Canada and Hulu. Build and improve forecast models, analyze KPI trends and variances, evaluate strategic initiatives, produce executive-ready presentations, and coordinate with cross-functional teams to align assumptions and drive subscriber growth.

Support Audience Modeling & Data Science by fielding data-driven sales requests, analyzing campaign performance, troubleshooting ad-tech platforms, producing reports/visualizations, and enabling data activation for ad targeting and revenue growth.

Design, build, and scale streaming and batch data pipelines and embedding workflows; integrate vector stores and AI platform services; implement observability, data quality, and governance; mentor engineers and lead production-ready AI data foundations supporting ad technology.

Serve as US regional analytics adoption lead, coach cross-functional teams, identify improvement opportunities, build MVPs, perform data analysis, deliver automated tools and dashboards, and define data standards and governance.

Lead research and benchmarking products for refurbished smartphones and online sales channels. Manage primary and secondary quantitative research, forecasts, market sizing, and an international research team. Serve as primary client contact, ensure methodological rigor and data quality, coordinate timelines and resources, and support project scoping and budgeting with senior leadership.

As a Senior Data Analyst, you will conduct advanced analytics, lead strategic projects, design experiments, and empower teams with data-driven insights, driving innovative business solutions.

Support marketplace operations by creating and maintaining reports, ensuring data accuracy across systems, executing promotions, coordinating seller offers, analyzing performance and trends, streamlining processes, and handling ad-hoc requests to drive commercial efficiency.

Analyze commercial brand and channel performance using descriptive and predictive methods. Build dashboards, automate KPI reporting, synthesize complex data, partner cross-functionally to inform business decisions, and mentor junior analysts while ensuring data integrity and actionable insights.

Analyze fleet-scale manufacturing, test, and operational data to create KPIs, dashboards, and AI-enabled applications. Perform ETL and statistical analysis, automate workflows with AI/ML, integrate cloud data services, and collaborate across engineering, product, suppliers, and operations to improve data quality and support NPI and product operations.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

Design, build, and maintain cloud-based data pipelines and services using Python and AWS Lambda. Work with distributed computing frameworks and various data stores (Postgres, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch). Operate in Linux/Unix environments, follow Agile practices, and collaborate via Jira and Confluence. Must hold an active Top-Secret/SCI clearance.

Lead customer analytics to reduce churn and drive upsell by building predictive models, customer health scores, and executive dashboards. Integrate data from Salesforce, Genesys, Pendo, and Qualtrics, ensure data governance, and partner with Customer Success, Product, Sales, and Finance to operationalize insights and influence strategy.