Top Data & Analytics Jobs

Supports Global Distribution by monitoring industry and competitor activity, analyzing investment, performance, fee, flow, and market data, and developing competitive positioning insights. Prepares executive and governance reporting, advises senior sales and business stakeholders, contributes to product and pricing strategy, and partners cross-functionally on growth decisions. Improves and automates research and reporting workflows using approved AI tools while maintaining confidentiality, controls, and compliance.

Collects, analyzes, and validates aircraft system data; prepares and publishes monthly CASS reports; monitors mechanical interruptions, service difficulties, and adverse trends; reports qualifying events to the FAA; compiles fleet-level statistics; identifies irregularities; and submits data reports to manufacturers, regulatory agencies, and other entities.

Owns data operations supporting client reporting, campaign delivery, and month-end billing. Troubleshoots data and backend issues across Salesforce, Fivetran, Snowflake, Sigma, and partner platforms; builds workbooks, views, models, dashboards, and custom analyses; manages permissions, onboarding, data feeds, and external data delivery; resolves campaign, reporting, reconciliation, attribution, and data-quality issues; automates processes and coordinates cross-functional resolution.

Lead end-to-end analytics for client marketing and customer datasets, including data provisioning, cleaning, exploration, segmentation, forecasting, A/B testing, customer lifetime value, churn analysis, and propensity modeling. Build dashboards and visualizations, document data architecture, develop actionable recommendations, train clients, and present findings to technical and non-technical stakeholders. The role requires strong SQL and Python skills, cloud data warehouse experience, statistical analysis, and client-facing communication.

Leads Uber Freight strategy and planning analytics, including monthly and global business reviews, executive dashboards, competitive intelligence, and strategic initiatives. The role analyzes business performance, develops reporting using SQL and spreadsheets, creates leadership presentations, and collaborates cross-functionally with commercial, marketplace, operations, finance, and technology teams.

Interns will code software to automate processes, scrape and collect large datasets, and conduct advanced econometric analyses to investigate fraud across finance, healthcare, and cryptocurrency domains. The role involves individual and team projects, applying data science and econometric techniques, and translating academic knowledge into real-world consulting and forensic analytics applications.

Leads enterprise stakeholder voice and feedback programs, including student, faculty, and course evaluations. Designs qualitative and quantitative research approaches, synthesizes feedback into actionable insights, and develops executive communications, reports, dashboards, and visualizations. Partners with university leaders and cross-functional teams to support evidence-based planning, continuous improvement, governance, and institutional effectiveness. Requires strong stakeholder engagement, facilitation, analytical, presentation, and research capabilities.

Supports payer-related platform operations through SQL-based data analysis, reporting, validation, reconciliation, issue tracking, and documentation. Partners with cross-functional stakeholders to investigate operational issues, communicate updates, monitor workflows, and improve processes. Uses Excel, Jira, cloud data platforms, and AI tools to manage requests, summarize findings, support testing, and maintain accurate operational records.

Lead recurring operational reporting and data processes for finance and HR, owning month-end and year-end close activities. Read, analyze, and correct complex SQL (views, stored procedures), maintain BI reports (Power BI, Cognos, Crystal), validate data, trace root causes to source systems, and produce confidential leadership deliverables. Automate recurring work, document processes, and support report modernization and ad hoc analysis.

Analyzes complex business processes, data requirements, and information systems supporting the Defense Logistics Agency. Applies DoD Business Enterprise Architecture, data modeling, enterprise architecture, systems integration, and process analysis expertise to improve data quality, interoperability, modernization, and enterprise decision-making. This fully remote role requires Secret clearance and supports AMPS program initiatives.