Top Entry Level Data & Analytics Jobs

Supports stakeholders by gathering reporting requirements, conducting research, facilitating client meetings, and developing, maintaining, and delivering standard and ad hoc operational reports. Identifies data anomalies, performs quality assurance, analyzes data, collaborates with colleagues, and ensures accurate, timely reporting. The role requires Washington, DC residency and an active Secret clearance.

Supports institutional research through data collection, validation, recurring reporting, survey administration, benchmarking, and routine analysis. Prepares basic reports, summaries, and visualizations; responds to institutional data requests; documents procedures; maintains data accuracy, confidentiality, and integrity; and collaborates with academic and administrative departments. Works under close supervision while developing expertise in higher education analytics, reporting systems, and analytical tools.

Designs and maintains automated reporting, dashboards, self-service analytics, and AI-powered data agents. Analyzes large datasets, develops actionable campaign and operational insights, presents findings through visualizations, recommends process improvements, and supports data quality and analytical workflows. The role partners with stakeholders to improve campaign performance, reporting efficiency, and business decision-making.

Analyzes rental markets, competitor pricing, fleet levels, demand, and booking trends to develop and execute pricing strategies for assigned locations. Uses Excel, Cognos, Tableau, and data analytics to forecast demand, monitor performance, produce reports, evaluate promotions, and support profitability decisions. Collaborates with stakeholders across management levels and manages multiple analytical projects and deadlines.

Designs and implements AWS cloud data solutions for customer engagements, including data lakes, ingestion frameworks, orchestration, storage, governance, quality, cataloging, and serving layers. Provides technical and strategic cloud guidance, develops automation tools and reference architectures, supports technology roadmaps, and contributes to thought leadership through blogs and case studies. Requires customer-facing consulting experience and expertise architecting or operating AWS data and DevOps solutions.

Support banking data and analytics by extracting, validating, organizing, and analyzing operational and customer data. Identify trends and anomalies, reconcile discrepancies, monitor data quality, and prepare summaries, tables, visualizations, recurring reports, dashboards, and ad hoc analyses for business and compliance stakeholders. Document data sources, assumptions, and methodologies while following regulatory, data-handling, and reporting standards.

The Database Administrator III role requires U.S. citizenship and completion of all work within the continental United States, Alaska, or Hawaii. The provided description does not specify database administration responsibilities, tools, or technical qualifications. Compensation is $120,000 to $150,000 annually.

Performs accurate data entry for the Family Homeless Prevention and Assistance Program in SIMS and HMIS. Verifies records, responds to data inquiries, manages source documents, supports database integrity, and coordinates with help desks to resolve inconsistencies or missing information. This temporary, part-time position requires confidentiality, computer literacy, typing accuracy, independent work, occasional local travel, and in-person attendance.

Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, Snowflake, and Azure technologies. Build data ingestion frameworks, dimensional data models, and enterprise warehouse solutions. Optimize Snowflake workloads, implement data quality and governance controls, monitor production pipelines, troubleshoot incidents, document data processes, and collaborate with architects, analysts, data scientists, and business stakeholders. Support secure, compliant, reliable data platforms for analytics, reporting, and operational use cases.

Conduct pricing and business data analysis, build statistical and machine learning models, run analytical experiments, and identify trends in complex datasets. Partner with IT, management, data scientists, and third-party pricing software firms to implement solutions. Clean and interpret data, create reports and visualizations, present insights, support pricing decisions, and train others on analytical techniques.