Top Entry Level Data & Analytics Jobs

Manage end-to-end data operations, including collection, processing, delivery, pipeline optimization, and data quality monitoring. Collaborate with engineering, product, and operations teams to improve data workflows, identify inefficiencies, and implement scalable solutions. Analyze data to provide actionable insights for decision-making and AI model development while communicating technical issues to non-technical stakeholders.

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.

Manage MSSQL and PostgreSQL databases, including installation, configuration, monitoring, performance tuning, security, backup and recovery. Develop optimized SQL queries, stored procedures, triggers, and views. Use AWS services for database deployment and scaling, Git/GitHub for version control, and collaborate with developers and system administrators. Support data warehouse design, ETL processes, reporting requirements, and database troubleshooting.

Leads enterprise data architecture and big data initiatives supporting mission and operational objectives. Designs scalable architectures for structured, semi-structured, and unstructured data; translates requirements into data systems, analytics, and visualization solutions; guides engineering teams; and develops strategies for high-volume, high-velocity, and real-time data environments. Collaborates with multidisciplinary teams to generate operational insights from complex datasets.

Manage and curate clinical, biospecimen, experimental, raw, and derived scientific data for a biomedical research laboratory. Maintain institutional and cloud data resources and scientific websites, support open science and FAIR principles, contribute to grants and manuscripts, train lab members, and attend scientific conferences. The role requires careful data management, collaboration with researchers and engineering staff, strong communication, and the ability to manage shifting priorities in an in-person academic environment.

Performs collection, processing, quality assurance, and analysis of LiDAR and aerial imagery data. Troubleshoots geospatial processing workflows, GNSS and IMU equipment, supports data management and archiving strategies, and helps train associates. The role requires GIS knowledge, 3D modeling and visualization understanding, teamwork, problem-solving, travel, and adherence to safety and information security policies.

Build and optimize data pipelines, backend services, forecasting systems, dashboards, and automated workflows supporting Starlink ground-network inventory, logistics, deployment, and reliability. Integrate ERP/MRP and logistics systems, manage hardware demand forecasting, improve supply-chain processes, monitor operational metrics, and support emergency deployments. The role requires collaboration across engineering, infrastructure, logistics, and program teams, with up to 25% travel and occasional extended or weekend hours.

Designs and leads enterprise data architecture and strategy for an asset management business. Responsibilities include defining roadmaps, data platforms, architecture patterns, database models, data warehouses, data acquisition and distribution processes, governance, security, and AI solutions. The role requires hands-on prototyping with Snowflake, Azure, Databricks, SQL, and Python, while collaborating with global teams and influencing stakeholders across business and technology functions.

Supports implementation and stabilization of inbound and outbound healthcare data processes. Ingests, transforms, validates, and reconciles Medicaid claims and eligibility feeds from Gainwell, Arcadia, DHCS, and other sources. Establishes data-quality, refresh, completeness, and reconciliation controls for PRISM, case creation, and reporting. Supports Atrezzo interfaces, data exchanges, production analytics, troubleshooting, root-cause analysis, stakeholder communication, and implementation workstreams.

Lead the design, development, and support of enterprise business intelligence reporting and visualization solutions. Translate stakeholder requirements into scalable semantic models, data layers, reporting architectures, and intuitive dashboards. Manage data transformation and loading processes, security controls, performance optimization, troubleshooting, production support, code reviews, architectural standards, mentoring, and Scrum-based delivery through Jira.