Top Entry Level Data & Analytics Jobs

Maintains Baan databases, master files, label databases, prices, costs, part numbers, bills of materials, routings, and related manufacturing data. Audits database accuracy, documents changes, supports engineering changes and label updates, assists with quality procedures, and trains functional teams on Baan and associated databases. The role requires strong attention to detail, independent prioritization, database knowledge, and familiarity with manufacturing processes and ISO/IATF systems.

Manage and interpret multiple data sources to deliver channel and customer intelligence, create and maintain reports and dashboards, analyze performance and market drivers, support product launches and commercial strategies using syndicated and customer data, and present actionable insights to Sales and Channel stakeholders to drive growth.

Supports ETF market-making by configuring and validating trading logic, onboarding products, managing venue and market-data dependencies, and analyzing production trading and execution data. Builds execution-quality metrics, identifies configuration and data-quality issues, automates validation and monitoring, supports testing and deployments, and develops productivity tools. Partners with traders and technology teams to improve workflows, controls, and trading strategies.

Partnering with Sales, Finance, and Supply Chain, the role delivers revenue insights, forecasting, demand-supply analysis, scenario modeling, and executive recommendations. Leads revenue forums, defines KPIs, improves forecasting processes and analytics workflows, identifies inventory and revenue risks, and leverages AI tools for decision support.

Monitor and verify real-time college and professional sports data feeds, identify and resolve discrepancies, cross-check information across sources, troubleshoot issues with technical teams, track sports schedules and statistics, and provide feedback to data collection scouts to improve accuracy and performance.

Supports enterprise data initiatives through data quality checks, cleanup, documentation, dashboards, reporting, and prototype development. Learns data governance, security, cloud platforms, SAP, analytics tools, and system integration. Collaborates with senior IT leaders and cross-functional teams while developing foundational skills in Python, SQL, data preparation, cloud technologies, predictive analytics, and enterprise applications.

Designs scalable data models, governance processes, quality checks, documentation, and internal data tools. Partners with Data Engineering and business stakeholders to create trustworthy, discoverable, AI-ready data assets supporting analytics, reporting, downstream applications, and machine learning initiatives. Uses AI tools to improve modeling, governance, analysis, documentation, and automation workflows.

Deployment Strategists work with customers to identify data-driven solutions, enhance operational workflows, and support decision-making by integrating and analyzing data.

The Research Specialist will assist the research team at Applecart in delivering data and strategic tools to stakeholders through research tasks, data entry, and by identifying publicly available data sources.

Conduct quantitative research to design, implement, and deploy mathematical trading models. Build custom tools for exploratory analysis, apply rigorous quantitative techniques to solve complex problems, and collaborate with traders and developers to productionize models while maintaining best practices.