Top Entry Level Data & Analytics Jobs

Analyze and validate EVV and business data, create dashboards and monthly executive reports, identify trends and compliance risks, and recommend corrective actions. The role maintains reporting systems, improves data quality and workflows, collaborates with operations and stakeholders, supports state and federal EVV compliance, and safeguards sensitive information.

Build and govern semantic models in Snowflake using SQL, tests, and documentation. Translate finance, operations, and project-controls logic into auditable dimensional models; migrate legacy reporting logic; maintain models as source systems change; and resolve metric definitions with business stakeholders. The role requires strong SQL fundamentals, analytical rigor, curiosity, and communication skills. Early-career candidates are welcome, with senior engineers available for mentorship.

Designs, builds, and maintains university data pipelines, integrations, data models, and analytics-ready datasets. Transforms operational data into trusted, governed assets; implements data quality checks, documentation, security, and access controls; and supports reporting, self-service analytics, AI-ready workflows, and institutional decision-making. Troubleshoots platform issues, automates manual processes, and partners with technical and university stakeholders to improve data delivery.

Owns end-to-end analytics for the global digital booking funnel across web and app. The role defines funnel KPIs, builds executive dashboards, diagnoses conversion changes, designs and analyzes experiments, and quantifies revenue impact. It also establishes tracking standards, audits data quality, governs metric definitions, presents recommendations to senior stakeholders, collaborates with global teams, and mentors analysts.

Develops and maintains Power BI, SQL Server, SSRS, and Excel reporting solutions. Transforms operational data into trusted datasets, models, dashboards, and analytical tools; manages Power BI resources; ensures data quality, governance, testing, security, and documentation; and partners with stakeholders to translate business needs into actionable insights. Coaches users on data-driven management and evaluates AI-enabled analytics and natural-language data access technologies.

Manage Epic Cogito reporting projects for healthcare organizations by gathering requirements, designing and developing reports, performing testing and validation, and providing post-implementation support. Collaborate with internal and external stakeholders, solve complex problems, and manage multiple projects independently while delivering healthcare IT and analytics solutions.

Leads content analytics by designing reporting systems, analyzing performance across digital platforms, generating data-driven insights, advising content teams, automating data collection and analysis, and presenting findings to senior and non-analytical audiences. The role also uses experimentation, data science techniques, LLM prompting, and agentic AI tools to improve content performance.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

Delivers recurring and ad hoc financial, operational, and productivity analytics across departments. Analyzes billing, collections, inventory, staffing, utilization, profitability, and other performance metrics. Develops reports, dashboards, written analyses, and executive summaries; maintains reporting tools, databases, templates, and visualizations; validates data quality; and collaborates with finance teams on strategic and operational initiatives.

Conduct spatial analysis and create GIS maps, visualizations, charts, and reports using demographic, census, and agency data. Acquire, clean, format, analyze, and interpret complex datasets; develop Python or Arcade scripts to automate map generation and publishing; and present findings and recommendations supporting agency operations.