Top Entry Level Data & Analytics Jobs
The Business Systems Analyst (CPQ) will support Oracle CPQ and its integration with Sales and Marketing processes. Responsibilities include requirement analysis, configuration, testing, troubleshooting CPQ issues, user documentation, and collaborating with global teams to enhance customer experiences using the CPQ platform.
The Operations Support Agent will review and upload documents to client accounts, perform data entry, and ensure the protection of sensitive client information. This entry-point position provides an opportunity for growth within the company while collaborating with various departments.
The Total Rewards Analyst will focus on managing total compensation for corporate employees, supporting various People Operations initiatives, building tools, analyzing data, and improving reward offerings while managing systems and data flows.
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Design and develop scalable and high-quality AI/ML features and solutions based on business needs. Collaborate with cross-functional teams to implement advanced AI technologies. Build infrastructure for AI/ML models and data collection mechanisms to meet customer demands. Ensure accuracy and freshness of enterprise operational data for thousands of customers.
The Business Systems Analyst role involves liaising between users and IT to capture business needs, document workflows, and assess ERP utilization. Responsibilities include managing user acceptance testing, facilitating workshops, and creating business process representations. The role also requires tracking KPIs and supporting change management through training and communication plans.
The Private Capital Analyst will support reporting, analysis, and presentations within the Private Capital department. Responsibilities include producing performance reports, assisting in investment recommendations, monitoring market movements, and conducting credit analysis.
As a Business Systems Analyst Sr at PNC, responsibilities include serving as the communication conduit between the client and developer, extracting business requirements, managing defects, facilitating project discussions, providing customer service and functional support, participating in test plans, conducting data analysis, and coordinating quality assurance.
The Data Analyst role involves understanding and improving Fulfillment Quality by analyzing operational performance data, diagnosing quality gaps, and providing data-driven recommendations. The analyst will support cross-functional teams, build dashboards for problem diagnosis, and improve metrics related to retailer-level fulfillment.
As an Analyst in Customer Success Analytics at Grammarly, you will define and monitor key metrics, conduct root cause analysis, leverage data to improve customer success, and collaborate with cross-functional teams to enhance data infrastructure. Your role focuses on maximizing customer value, driving product adoption, and supporting revenue growth initiatives.
The Data Analyst will support Public Safety Answering Points by analyzing emergency call data, tracking KPIs, developing reports, and providing actionable insights to optimize operations and enhance performance.
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