Top Entry Level Data & Analytics Jobs

Maintain the AMPLIFY benefits database, reconcile benefits data with finance records, investigate discrepancies, and provide accurate reporting. Analyze trends, risks, and opportunities; support Power BI dashboards and visualizations; coordinate benefits review meetings; maintain governance documentation, audit trails, and SharePoint content; and engage project teams and stakeholders to support effective benefits realization across major nuclear infrastructure programs.

Develop and test mathematical models for sports betting pricing and risk management. Collect, clean, and analyze sports and betting datasets to identify trends and inform trading strategies. Use Python, C#, R, or C++ to build quantitative models and automate analysis. Collaborate with senior quants, traders, engineers, and product managers, document methodologies, and communicate findings. This hybrid role requires working two to five days weekly in the Denver office.

Designs and implements scalable Databricks Lakehouse data architectures, ETL/ELT pipelines, and batch or real-time processing solutions. Uses Spark, Delta Lake, SQL, cloud platforms, orchestration tools, and governance frameworks to optimize performance, cost, security, and scalability. Collaborates with stakeholders to translate business needs into technical solutions, integrates enterprise systems, supports migrations, and provides technical leadership and mentoring to data engineering teams.

Supports the Dean’s Office by collecting, cleaning, analyzing, and presenting enrollment, faculty workload, academic program, and survey data. Builds Excel datasets, dashboards, visualizations, and recurring reports using university systems such as WebFOCUS and Banner. Administers Qualtrics surveys, validates and documents data, responds to analytical requests, identifies trends and inconsistencies, and communicates findings to college leadership while maintaining confidentiality and data security.

Processes, analyzes, validates, and quality-controls LiDAR, point cloud, aerial imagery, and other geospatial datasets. Produces maps, terrain and surface models, contours, orthomosaics, 3D models, and infrastructure-focused deliverables. Supports GIS data management, utility GIS, spatial analysis, schema development, web maps, field data solutions, and automation using Python and related tools. Collaborates with engineers, surveyors, GIS professionals, and project managers to troubleshoot data issues and improve repeatable geospatial workflows.

Develop and maintain Palantir Foundry data pipelines, transformations, Ontology models, workflows, data products, and user-facing applications. Integrate structured and unstructured data from enterprise systems and cloud platforms using Python and SQL. Implement data quality, governance, metadata, lineage, testing, and validation practices while collaborating with technical and business stakeholders. Support Agile development, documentation, modernization, AI-enabled analytics, troubleshooting, and federal data solutions.

Analyze semiconductor materials pricing data, identify market trends, validate and standardize information, monitor data quality, investigate discrepancies, document analyses, and support data pipeline and ETL optimization. The role also involves communicating findings, improving data hygiene, and collaborating cross-functionally while learning new analytical tools and best practices.

Clean, standardize, enrich, and import product data into the PIM while maintaining data integrity and governance standards. Oversee bulk ingestion processes, leverage AI and automation, support data model improvements, resolve product listing issues, and contribute to data hygiene and workflow modernization. The role also involves collaborating with client-facing teams, documenting processes, proofreading product data, communicating progress, and adapting to changing priorities.

Research Analysts support project teams by gathering, processing, and analyzing economic data; conducting qualitative research; producing tables, graphs, and visualizations; reviewing documents; auditing analyses; and preparing expert testimony and client deliverables. The role also includes participating in meetings and collaborating with project managers and senior staff.

Analyze data from multiple sources to identify trends, anomalies, and process-improvement opportunities. Develop dashboards, reports, SQL queries, and data visualizations; perform data validation, cleansing, reconciliation, and quality assurance. Partner with cross-functional stakeholders to translate business requirements into analytical solutions, support forecasting and capacity planning, automate recurring reporting, document processes, and present actionable findings to technical and non-technical audiences.