Top Entry Level Data & Analytics Jobs in Denver & Boulder, CO

Analyze large datasets for the Fraud and Risk team, develop dashboards and reporting structures, present insights, and support data-driven risk prevention. The role involves quantitative research, fraud detection, risk assessment, rules-based and machine learning models, and collaboration with stakeholders to solve business problems.

Analyze large datasets for the Fraud and Risk team, develop dashboards and reporting structures, present insights, and support data-driven risk prevention. The role involves quantitative research, stakeholder communication, and assisting with rules-based and machine learning models to detect fraud, assess risk, and improve compliance and security measures.

Analyze large datasets for fraud prevention and risk management, develop dashboards and reporting structures, present quantitative research, and support rules-based or machine-learning models. Collaborate with management and cross-functional stakeholders to identify business problems and implement data-driven solutions that improve risk prevention and compliance.

Analyze large behavioral and transaction datasets, build reports and dashboards, collaborate with product and engineering to inform data-driven product decisions, automate analyses, communicate insights to stakeholders, and brainstorm new data uses to improve user experience.

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.

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.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

The job description provides no substantive responsibilities or qualifications beyond the Director, Data Engineering title. The posting contains general company information, benefits, equal employment opportunity language, and application details. Specific duties, required technologies, experience, education, and other role expectations are marked as TBD or not provided.

Manage and mentor a data engineering team while leading Snowflake-based platform architecture, enterprise data integrations, governance, observability, and pipeline reliability. Partner with analysts, business leaders, product management, and engineering teams to improve trusted self-service data access. Establish engineering standards, modernize the data stack, optimize costs, and deliver an AI-ready data foundation supporting analytics, reporting, and future AI initiatives.

The Campaign Data Associate manages data, reporting, quality control, and support needs for nationwide door-knocking programs. Responsibilities include maintaining Touchstone territory groups and accounts, building departmental data tools, managing daily and nightly reporting, and responding to data support requests. The role is remote but may require occasional travel for training and in-person events, with flexible 50+ hour schedules during peak periods.

The Solutions Analyst delivers reporting and operational outputs, analyzes datasets, resolves issues, maintains solution components, and collaborates with teams to improve efficiency.