Top Entry Level Data & Analytics Jobs

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

This role offers training for aspiring Data Engineers, focusing on technology of choice, interview preparation, and skill enhancement with guidance on OPT STEM extension.

As a Business Analyst, you'll support client engagements, conduct data analysis, develop insights, and collaborate with team members to solve complex problems.

Work as a Data Architect splitting time between Workday integration development (simple, supportable integrations) and data platform/data warehouse work for a larger DW project.

Build and maintain Power BI reporting products, integrate and validate institutional data, conduct applied quantitative and qualitative research, deliver analyses and visualizations, manage projects and reporting standards, and support cross-organization analytics and stakeholder decision-making.

No responsibilities or role details were provided in the job description. The posting only lists the job title (Business Analyst) and contact information for further inquiry.

Contract SQL Developer positions (W2) for AZ, MN, and NC. Posting provides no specific responsibilities or technical requirements beyond the SQL developer title.

Seeking candidates for a junior production support role in Risk and Finance with a background in SQL and technology. Long-term engagement expected with growth potential.

Manage and steward enterprise master data, metadata, reference and content/document management systems. Maintain the metadata repository, create training and documentation, support data governance councils, assess non-technical impacts of policy changes, ensure compliance, and support standardized reporting and MDM strategy and processes.

Develop, maintain, and optimize SAS programs for data extraction, transformation, analysis, and reporting. Collaborate with analysts and stakeholders to ensure data quality, documentation, and reproducible analytics workflows.