Top Entry Level Data & Analytics Jobs

Prepares and analyzes client data, runs and troubleshoots SAS programs, writes SAS infile programs, modifies audit templates, and develops meaningful business insights. The role requires SQL, data mining and ETL experience, programming skills, stakeholder communication, problem solving, and the ability to support reporting and process improvements.

Builds and maintains production data pipelines, data models, and user-facing applications. The role works directly with customers to scope needs, configure solutions, analyze data, troubleshoot complex code, improve application performance, manage support requests, and collaborate with engineers to resolve bugs. Python, SQL, and TypeScript or JavaScript proficiency are required, along with an active Secret clearance and U.S. citizenship.

Manage item data creation, maintenance, lifecycle control, and quality within Valmet systems. Monitor data accuracy, perform corrective actions, support efficient quote-to-delivery processes, and collaborate with global business professionals. Contribute to item data concepts and strategies while applying technical documentation and enterprise systems. The role requires analytical thinking, communication, customer orientation, and familiarity with PDM/PLM, ERP, Infor LN, or master data management.

Analyzes complex automotive data, standardizes datasets and KPI definitions, partners with engineering and governance teams, and develops scalable self-service dashboards. The role translates ambiguous business needs into data requirements, automates digital analytics programs, investigates trends and attributes, and supports enterprise reporting. It requires SQL, Excel, data visualization, statistical analysis, and AI tool experience. The position is hybrid, requiring at least 10 office days monthly, with travel up to 10%.

The Data and BI Manager leads reporting and analytics design, development, implementation, and infrastructure management. Responsibilities include maintaining dashboards and data warehouses, scaling reporting performance, guiding deployment, auditing financial data accuracy, and supervising related activities. The role requires advanced SQL, BI expertise, data programming knowledge, communication skills, and systems leadership experience.

Provides data analysis, reporting, and coordination support for project managers. Responsibilities include tracking project schedules, budgets, milestones, risks, financials, purchase orders, and performance metrics; preparing dashboards and management reports; coordinating cross-functional data; maintaining project documentation; supporting forecasting, project changes, and continuous improvement.

Lead delivery for analytics and data platform initiatives as a hands-on player-coach. Build and refine Bronze-to-Silver-to-Gold Medallion transformations, develop performant data models, improve pipeline reliability, and implement complex Spark and Databricks solutions. Coordinate contractors, plan sprints, review pull requests, manage dependencies, and communicate progress and risks. Support a GDPR-first, multi-region data strategy and collaborate with engineering leadership on data warehouse unification.

Lead data engineering role responsible for administering SQL Server and Amazon Redshift, building Python ETL/ELT pipelines, developing data warehouse models, and preparing data for AI and ML applications. The role includes database performance tuning, AWS data platform security, workflow orchestration, CI/CD, production support, release management, and on-call ownership. Collaboration with product and marketing teams supports modernization of data environments and broader analytics adoption.

Manages career-related data, reporting, dashboards, data quality, and analysis for university leadership. Administers Handshake and 12Twenty, supports users, maintains accounts and labels, verifies student data, handles vendor support tickets, and assists with system cleanup and events. Provides tutorials, data uploads, and operational support while promoting AI-informed workflow improvements.

Leads consumer, category, market, and growth insights across infant formula and new ventures. Supports qualitative and quantitative research, opportunity sizing, commercialization, pricing, go-to-market strategy, KPI dashboards, syndicated data analysis, campaign evaluation, launch measurement, and executive reporting. Partners cross-functionally with Innovation, Marketing, Sales, Product Development, Finance, research agencies, and data providers to translate intelligence into actionable growth recommendations.