Top Hybrid Data Analysis Jobs

Support global Net Revenue Management initiatives by defining problems, performing advanced data analyses on pricing, menu, channel profitability, and COS%, cleansing large datasets, decoding consumer research, and delivering executive-ready slides and recommendations to drive pricing, promotional, and menu decisions.

Support execution of pricing and compliance strategies by performing data collection, analysis, pricing updates, promotional setup, reporting, audits, and competitive analyses. Coordinate with cross-functional teams, maintain pricing documentation, track requests and deliverables, identify data discrepancies, and suggest process improvements to optimize pricing and promotional performance.

The Quantitative Researcher will manage yield opportunities, design algorithms, perform risk analysis, and collaborate with engineers on DeFi strategies.

The EDI Operations Specialist ensures the accuracy of EDI data, analyzes claims data, resolves issues, and supports continuous improvement initiatives.

Senior Analyst provides systems guidance, analyzes and enhances business applications, prepares project documentation and test plans, trains partners, troubleshoots issues, and contributes to system design and prototyping. Works with stakeholders to define automation needs and deliver higher-quality work with minimal revisions.

Lead residual value forecasting and strategy for U.S. and Canada, overseeing modeling, validation, product translation, and customer engagement to ensure accurate, explainable, and revenue-driving residual analytics.

Provide GIS support for environmental permitting and data management for linear infrastructure and energy/mining projects. Produce maps, maintain spatial and non‑spatial datasets, perform analyses, and create deliverables using ArcGIS Pro, ArcGIS Online, Field Maps, and Experience Builder while collaborating with interdisciplinary teams.

Design and execute statistically rigorous analyses to quantify and inform safety and risk for autonomous driving systems. Apply Bayesian and frequentist methods (and ML where appropriate) to large, noisy or rare-event datasets, produce production-ready monitoring workflows, and communicate findings to engineers, safety stakeholders, and executives to support risk-based decision making.

As a Quantitative Research Intern, you'll develop and implement trading strategies, manage trades, optimize algorithms, and analyze market conditions in cryptocurrency and US equities.

The Senior Data Analyst will analyze and interpret data, improve data reliability, lead data initiatives, and collaborate with teams to optimize data processes and insights.