Top Hybrid Data Analysis Jobs

Supports business reporting, analytics, data quality, automation, and emerging AI initiatives in Microsoft Fabric. Responsibilities include maintaining Power BI dashboards, validating data and report outputs, organizing Fabric assets, documenting metrics and business rules, reconciling reports, assisting with Power Automate and AI pilot projects, and answering business questions using Excel, SQL, Power BI, and Fabric datasets. The intern collaborates with business and technical teams across finance, operations, supply chain, and project management.

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

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.

Support sales and CPG category management through multi-source data analysis (retailer POS, NielsenIQ/Circana). Produce insights, presentations, and recommendations for assortment, item performance, and store clustering. Collaborate with clients, Category Management, and Space Technology teams to drive action and deliver quality results.

Lead data analysis efforts across source systems: document assets and processes, perform exploratory analysis and data profiling, define mapping and global transformation rules, validate data quality and integrity, identify issues, support SDLC and developers, provide ad-hoc decision support, and present insights to senior stakeholders to enable data-driven decisions.

Drive data-led growth for US loans: analyze and optimize acquisition channels, design price tests, forecast and allocate volume, validate commercial hypotheses, and implement changes using SQL and analytics tools.

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.

Monitor and analyze growth metrics across acquisition, activation, engagement, and retention. Build and maintain dashboards and reports, support design and validation of growth experiments, identify drivers of metric changes and anomalies, and collaborate with cross-regional analytics stakeholders to ensure analytical consistency.

Lead quantitative analyses of loan originations and portfolio performance to identify credit risks and improvement opportunities. Build multivariate/predictive models, conduct diagnostic and funnel analyses, measure costs/benefits, design monitoring and controls, present recommendations to VP-level stakeholders, and drive hands-on implementation using SQL, Python, Excel, AI tools, and financial modeling.

Supports a Federal agency's litigation efforts by analyzing system requirements, developing system designs, testing software, and providing documentation and training.