Top Entry Level Data & Analytics Jobs

Design and maintain conceptual, logical, and physical data models for enterprise applications and warehouses. Translate business requirements into scalable data structures, dimensional models, and data dictionaries. Perform data profiling, quality assessments, validation, and database optimization. Collaborate with architects, ETL developers, DBAs, analytics teams, and business stakeholders while supporting governance, lineage, migration, integration, and modernization initiatives.

Coordinates freight weight-related research and analysis in a fast-paced transportation environment. The role requires analytical ability, computer proficiency, self-management, willingness to learn, and preferably experience with less-than-truckload transportation. This is a full-time Monday-through-Friday position with various shifts and includes comprehensive benefits.

Processes, cleans, validates, and reconstructs large tactical datasets supporting combat-system and Tactical Data Link testing. Performs event reconstruction, track association, data integration, troubleshooting, quality assurance, and root-cause analysis. Prepares analytical reports, visualizations, and metrics for technical and non-technical stakeholders while maintaining data integrity, security, and governance standards. Supports land-based testing and fleet exercises in a collaborative, on-site environment.

Conduct quantitative equity research and analysis, maintain and reoptimize multifactor stock-selection models, develop investment tools, prepare reports and charts, manage quantitative data, investigate AI applications, and support investment strategy and process improvements.

Two-year early-career rotational program with three cross-functional assignments focused on data engineering and analytics. Participants create analytical reports, work with machine learning and artificial intelligence, lead intensive business projects, and develop technical, interpersonal, and leadership skills. The program provides exposure to the full data lifecycle, business strategy, and continuous improvement, with potential placement into a post-program role.

Analyzes regulatory and statistical reporting data, investigates discrepancies, validates results, and supports data quality and reporting modernization initiatives. The role gathers business requirements, documents solutions, coordinates system testing, communicates findings to technical and business stakeholders, assists with process automation, and monitors implemented solutions. It also requires researching complex issues, identifying root causes, documenting findings, providing system training, and potentially supporting production systems on a 24/7 on-call basis.

The posting provides application instructions for an Enterprise Applications, Data and Analytics Manager role but does not describe specific responsibilities, qualifications, technologies, compensation, travel, or clearance requirements.

Analyze options trading data, identify actionable patterns, prototype strategies with traders, and build scripts, dashboards, and automated workflows. The role requires strong Python, statistical and numerical reasoning, SQL or willingness to learn, and familiarity with AI tools. The analyst will investigate market questions, test hypotheses, identify anomalies and operational improvements, and communicate findings that improve trading decisions and desk performance.

Organizes and analyzes construction and distribution data, improves data quality and workflows, supports standardized data structures and reporting, and identifies opportunities to automate manual processes. The role collaborates with cross-functional teams to implement practical digital solutions, develop dashboards, improve data accessibility, and support operational decision-making.

Monitors and quality-checks data processes, ETL workflows, data warehouses, and client reports. Reviews and improves documentation, identifies data quality issues, runs scripts, supports report modifications, automates production code, and develops ad hoc reports. The role requires understanding campaign data inputs, business requirements, and client objectives while communicating findings to internal stakeholders.