Top Entry Level Data & Analytics Jobs

Reviews and annotates video footage to identify traffic events and potential violations, verifies detailed incident data, follows strict confidentiality protocols, and provides feedback to improve annotation tools and processes. The role requires careful attention to detail, accurate data review, timely completion of work, and collaboration in training and team meetings. This is a full-time, on-site position in Salt Lake City with occasional overtime.

Conduct financial, biographical, philanthropic, and quantitative research to identify and evaluate prospective donors. Prepare intelligence reports, briefing materials, trustee materials, and fundraising recommendations for advancement officers and senior leaders. Support portfolio reviews, solicitation monitoring, trip planning, database maintenance, data integrity, and staff training. Collaborate with fundraising partners while handling confidential information and applying prospect development best practices.

Modernize legacy IBM DataStage ETL/ELT workloads by re-engineering them as scalable Databricks and Spark pipelines on AWS. Responsibilities include migration assessment, pipeline development, testing, data validation, CI/CD automation, production cutover, stabilization, legacy decommissioning, documentation, and technical training. The role performs parity, unit, functional, UAT, regression, and performance testing while supporting application redeployment and operational readiness.

Develop and maintain Power BI and web application dashboards, semantic models, and ad hoc analyses for internal and external stakeholders. Use SQL, DAX, dbt, Snowflake, and data modeling best practices to support scalable analytics and reporting. Collaborate with senior team members, contribute to version control and project management processes, manage multiple priorities, and build expertise in private markets and firmwide analytics.

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.