Top Entry Level Data & Analytics Jobs

Develop and enhance CGI Advantage HRM and ERP data integrations, Snowflake data pipelines, reporting datasets, and Power BI dashboards. Build semantic models and DAX solutions, troubleshoot data quality and integration issues, translate business requirements into scalable BI solutions, and collaborate with ERP, HR, data, and business stakeholders.

Analyze digital media performance across paid search, paid social, programmatic, and other channels. Build Power BI dashboards, define KPI frameworks, identify trends and optimization opportunities, design A/B tests, support data clean room and incrementality initiatives, and write SQL queries for unified cross-platform insights. Collaborate with engineering on data pipelines and tracking, then communicate actionable findings to stakeholders and leadership.

Performs spatial analysis, cartography, GIS data management, application development, scripting, and workflow automation for renewable energy projects. Creates accurate mapping products, maintains desktop and mobile geospatial applications, troubleshoots client and team issues, explains technical concepts, improves processes, and mentors junior GIS specialists. Collaborates with project teams to anticipate information needs and deliver technically proficient spatial data solutions.

Design, develop, test, and maintain ETL pipelines that integrate data from databases, APIs, and cloud sources into warehouses or lakes. Analyze schemas, implement transformations, troubleshoot data issues, collaborate with business and product owners, and deliver scalable software solutions. The role also involves optimizing pipelines as requirements and data volumes change, participating in peer review, and improving engineering processes.

The Data Analyst position requires U.S. citizenship and that all work be performed within the continental United States, Alaska, or Hawaii. The listed annual pay range is $90,000 to $110,000.

Supports ETL pipeline development, legacy data migration, data transformation, validation, profiling, cleaning, and integration for a secure DEA modernization program. Collaborates with technical and business teams, monitors pipeline performance, troubleshoots issues, documents data flows and migration results, and participates in Agile development activities under senior engineer guidance.

Analyze business processes, data, and systems; gather requirements; define data governance and quality practices; design data models and databases; perform statistical analysis; build reports and visualizations; and communicate insights to technical and business stakeholders. Collaborate with data engineers, architects, scientists, and product owners to deliver client solutions.

Leads data engineering for a functional area by defining future-state architecture, establishing technical standards, mentoring team members, developing code and procedures, fixing bugs, maintaining quality, gathering requirements, and supporting application functionality. The role serves as a subject matter expert, partners with architecture and application engineering leaders, and drives technology adoption and professional development.

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.