Top Entry Level Data & Analytics Jobs

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

Support LP Analyst's business strategy and client solutions by engaging in marketing efforts, conducting relationship development, and assisting in data analytics tasks.

Trace3 seeks enthusiastic individuals for its Data Intelligence Team. The role focuses on innovative technology solutions and consulting services, fostering a collaborative and dynamic work environment.

The Data Analyst will conduct data analysis, create visualizations, and collaborate with teams to derive actionable insights for DOW's contract, ensuring data integrity and security.

Analyzes business change needs, gathers and validates user requirements, translates business needs into functional specifications, and facilitates stakeholder and design sessions. Creates process maps, use cases, wireframes, data migration rules, business rules, and requirements traceability documentation. Supports business process redesign, data-entry component definition, solution analysis, and multiple moderately complex projects while collaborating with customers, users, technical teams, and other stakeholders.

The Analyst will work within Enterprise Resource Planning systems, potentially analyzing data and supporting operational efficiencies.

Designs and maintains Power BI dashboards and reports for sales decision-making. Extracts, integrates, cleans, and analyzes data from multiple market and category management sources. Conducts line reviews and category performance analyses, identifies trends and growth opportunities, and delivers data-driven recommendations. Develops customized dashboards, reporting materials, and PDF documentation to support sales teams, product evaluations, and customer presentations.

Analyzes autonomous-vehicle data and driving scenarios to validate dataset quality, identify edge cases and coverage gaps, monitor quality metrics, and investigate anomalies. Reviews annotation batches, maintains dashboards and reports, and automates validation and testing workflows using Python, Pandas, and ClickHouse. Collaborates with product and engineering teams to improve annotation efficiency, testing processes, and data quality.

Support users with business intelligence and OLAP tools for database queries, data extraction, and report generation. Review and optimize queries, help design and document systems, monitor and upgrade enterprise reporting tools, ensure front-end interoperability and security, and maintain metadata and production systems.

Process and analyze LiDAR datasets and GIS data; learn and use new geospatial software tools; ensure data quality and meet deadlines; communicate with team; complete training provided with potential for full- or part-time placement.