Top Entry Level Data & Analytics Jobs

The Data Entry Associate will support the Product Management team by ensuring product information is complete, accurate, and up-to-date. This role involves enriching product data, validating and cleansing data across various systems including CRM, ERP, and PIM, and working cross-functionally with multiple departments.

The Pricing Analyst supports the US Sales and Customer Service teams by maintaining pricing tables, resolving customer disputes, auditing claims, and ensuring compliance with company policies regarding pricing changes. They also assist with pricing projects and liaise with auditors for compliance purposes.

As an Analyst at Chatham Financial, you will focus on managing financial risks related to interest rates, foreign currency, and commodities. Responsibilities include conducting detailed analyses of clients' financial exposures, supporting trade structuring and execution, coordinating regulatory processes, and performing market research. You will work on various projects and collaborate with clients and internal teams to deliver effective solutions.

The Cloud Data Engineer supports the Data and Analytics organization by designing, optimizing, and developing data pipelines and machine learning models. They work on cross-functional teams to build infrastructure, support feature engineering, and deploy AI models.

As a Third Party Risk Analyst, you will evaluate suppliers for potential risks, document control methods, and advise stakeholders on risk management. You will work on ensuring compliance with regulations while collaborating across teams to meet business objectives.

The Operations Planning Analyst supports senior management by ensuring the feasibility of flight schedules, analyzing operational performance, and identifying improvement opportunities. They work with various stakeholders to balance revenue and operational needs, develop analytical tools, and communicate insights to management.

The Digital Analytics Specialist will enhance web performance through data analytics, implementing best practices, analyzing large data sets, and collaborating with marketing teams to drive insights and optimize customer experiences.