Top Entry Level Data & Analytics Jobs

Participate in a rotational analyst program supporting Marketing, Digital, Credit, Deposit Management and Product teams. Gather and structure data, perform analyses, design and monitor tests and strategies, optimize workflows, present findings to stakeholders, and support execution of product, pricing, and customer management strategies.

Manages financial aid systems, databases, SQL queries, reports, dashboards, integrations, automation, and data quality. Troubleshoots complex technical issues, supports Banner and related enterprise systems, administers compliant financial aid processes, and coordinates upgrades and testing. Leads process improvement initiatives, trains staff, documents technical procedures, and collaborates with IT, vendors, and campus stakeholders. Provides financial aid customer service and counseling while supporting regulatory compliance and operational reporting.

Provides day-to-day data and technical support for GOTV campaign staff, including managing VAN support tickets, troubleshooting VAN issues, completing data tasks, writing and debugging SQL queries, and maintaining Google Sheets, reports, and dashboards. The role also supports VAN administration, phone banking, texting programs, documentation, and broader data projects while communicating solutions clearly and managing competing priorities in a fast-paced campaign environment.

Design and maintain scalable data pipelines, models, curated datasets, analytics solutions, and manufacturing automation tools. Support Ignition and Sepasoft MES systems, integrate manufacturing software, and develop solutions for metrology and image inspection data. Apply software engineering practices and independently lead complex cross-functional projects from requirements through deployment.

Owns analytics datasets and data products for Netflix’s cloud games infrastructure. Builds scalable pipelines, data models, metrics, dashboards, tooling, and self-service assets from massive telemetry data. Partners with infrastructure engineering, data engineering, and data science teams to improve quality of experience, capacity, and utilization insights. Responsibilities include telemetry and logging, visualization, trustworthy documentation, scalable data solutions, and independently prioritizing high-impact investments.

Develops and operates integrated data systems supporting New Glenn certification and launch services. Responsibilities include ensuring data quality, maintenance, sharing, governance, customer engagement, training metrics, and certification support. The role collaborates with New Glenn teams, NASA, and U.S. Space Force partners; plans technical products, communicates results, enforces data-marking practices, manages resources, and provides product ownership in a fast-paced aerospace environment.

Manages fisheries data requests, develops SQL retrieval and validation scripts, documents business rules and data definitions, produces statistical reports, defines database requirements, creates reusable database objects, and administers user accounts and access policies. The role also coordinates with agencies, researchers, and other stakeholders to resolve data issues and ensure accurate, standardized, timely information for fisheries management and research.

Serves as the technical and functional lead for enterprise Master Data Management. Translates business needs into MDM requirements, data models, business rules, and processes across party, account, and reference data domains. Oversees data ingestion, transformation, quality assurance, governance compliance, and master-data distribution. Defines data-quality KPIs and collaborates with stakeholders, data stewards, owners, architecture, and governance teams to support regulatory, client lifecycle, and enterprise data strategies.

Build and maintain dashboards, visualizations, analytics tools, and applications for Permian Production Operations. Retrieve, query, integrate, cleanse, validate, and model operational data from multiple systems. Translate findings into actionable insights that improve safety, reliability, efficiency, and decision-making. Collaborate with operations, engineering, HSE, supply chain, IT, and field teams; support data workflows, tool rollouts, application administration, end-user education, process automation, and analytics modernization.

Perform quality control on student and client data: audit records for missing or duplicate values, compare data sources, correct errors in systems/spreadsheets, follow validation rules, and communicate findings to internal teams to maintain accurate, reliable data.