Top Data & Analytics Jobs

The Senior Product Analyst will analyze product pricing and performance, produce reports, and assist Product Management with data analysis for competitive opportunities.

The role involves project management, efficiency analysis, quality assurance, and systems management with a focus on improving operational workflows and processes.

The Data Scientist will lead predictive modeling, develop algorithm-based apps, manage data sources, and collaborate with stakeholders to solve key business challenges.

Support Equity Research team in Software sector, conduct financial analysis, research, and assist in writing reports on investment themes and trends.

Build and maintain dashboards and reports (Excel, Tableau, Sigma) by pulling and modeling production data (SQL, Python). Create pricing models for RFPs, define operational and financial metrics, optimize queries and data structures, run A/B experiment analyses, and partner with business leaders to generate insights and recommendations to improve roadside assistance operations and performance.

As a Senior Data Scientist at Waymo, you will develop evaluation frameworks and metrics for autonomous vehicle performance, analyze unique aspects of AV data, and mentor other data scientists.

Drive data-informed product and platform decisions by analyzing large datasets, building forecasts and statistical models, creating impactful visualizations, monitoring KPIs/OKRs, and partnering with product, engineering, and business teams to surface actionable insights that influence roadmap and strategy.

Analyze sales and operational data to produce recurring reports, support forecasting and QBRs, act as a CRM/BI power user, provide analytical support to Sales, Supply Chain, and leadership, and prepare data exhibits for executive-level presentations.

The Data Analyst will manage and analyze project data for HQMC's decision support tool, ensuring integration from various sources and reporting on milestones.

Execute financial models and pharmacy claims analyses to support underwriting for sales bids, present results to stakeholders, recommend pricing adjustments, drive pricing research, improve processes, and run quality control on analyses.