Top Entry Level Data & Analytics Jobs

The Category Analyst will manage category performance through vendor engagement, data analysis, and collaboration across teams while supporting category goals.

Analyze the Argus Consortia dataset to produce actionable analyses and visualizations, present findings to clients and management, own client deliverables, manage internal and client projects, and collaborate across the Argus US team using SQL, AWS/SAS, Tableau, Excel and PowerPoint.

Deployment Strategists work with customers to identify data-driven solutions, enhance operational workflows, and support decision-making by integrating and analyzing data.

The Research Specialist will assist the research team at Applecart in delivering data and strategic tools to stakeholders through research tasks, data entry, and by identifying publicly available data sources.

Develop, deploy, and monitor models and pattern-recognition algorithms to detect fraud across lending products. Write Python for analysis and modeling, query complex datasets with SQL, partner with Fraud Operations to refine features and reduce false positives/negatives, conduct ad hoc analyses, and communicate findings to support verification and underwriting improvements.

Nine-week summer analyst internship rotating across Analytics, Project Management, and Process Improvement. Work with data to generate insights, support project delivery, analyze workflows, and use modern tools (including AI) to improve processes and inform business decisions. High performers may be considered for a full-time rotational program.

As a Quantitative Research Analyst, you will develop and test trading algorithms, conduct statistical analyses, and improve mathematical models using complex data sets.

Develop and improve mathematical models for trading strategies, conduct research and statistical analysis in a fast-paced team environment.

Conduct quantitative research to improve and design trading models, build tooling, implement and deploy models to production, and collaborate with traders and developers to solve complex problems.

Support product managers and tech leads by defining backtesting and validation plans, performing data analysis and validation for client deployments, improving data flows and operations, and conducting financial securities research and modeling (regression, simulations, portfolio risk analytics).