Top Entry Level Data & Analytics Jobs

Gather and verify metals recycling pricing data, set price assessments per methodology and IOSCO principles, write market commentary and news, expand and manage industry contacts, peer-review pricing, provide coverage for colleagues, engage markets through events and presentations, and handle market inquiries.

As an ERP Analyst I, you will assist in configuring ERP systems, support data migration and testing, document requirements, optimize workflows, and participate in training sessions, while gaining hands-on experience with ERP systems.

The analyst will design and execute risk management strategies, evaluate policies, and collaborate across teams to enhance credit and fraud risk controls.

TigerGraph seeks individuals to promote their scalable graph database technology used for analytics and machine learning across various industries.

Support research economists by accessing, organizing, analyzing, and visualizing economic data; perform statistical and econometric analysis; run quantitative models; write memos, blog posts, and articles; and assist on projects and presentations for policy audiences.

Designs and implements data quality monitoring systems, enforces data standards and policies, performs data quality assessments and root-cause analysis, develops data models and dictionaries, and monitors/remediates data defects across classified networks and enterprise systems.

The Analyst will manage data and perform financial analysis on private equity and alternative assets, while providing feedback for the analytics platform.

The Anti Money Laundering Analyst monitors customer activity, completes reports, collaborates with teams, and ensures compliance with regulations.

Join Oliver Wyman's Data & Analytics team to design and implement analytics and ML solutions, build prototypes, communicate results to clients, and support projects across industries including finance, energy, retail, and transportation.

Build, maintain, and improve Python- and SQL-based data tools, pipelines, and dashboards to support production planning and scheduling. Automate manual planning tasks, ensure data accuracy across ERP systems, prototype AI-assisted decision-support tools, and partner with operations to analyze demand, capacity, and production performance.