Top Entry Level Data & Analytics Jobs

Work with internal and client teams to design and implement data-driven technology solutions. Apply SQL, Python, and data platform knowledge to process structured/unstructured data, build BI and engineering artifacts, communicate findings to stakeholders, and adapt to new tools and architectures while supporting client-facing delivery.

As a Quantitative Research Analyst, you will develop and test trading algorithms, conduct statistical analyses, and improve mathematical models using complex data sets.

The Data Program Associate will manage data acquisition, partner with product teams, evaluate business cases, and enhance data quality using AI systems.

The Vehicle Data Editor will manage automotive data entry, ensuring completeness and accuracy by researching and interpreting data from OEMs and assisting in data cleanup projects.

As a Quantitative Analyst, you will analyze and develop trading strategies, conduct research, maintain data sets, and enhance tools for investment decisions.

The role involves setting up items in MDM and ERP systems, ensuring data accuracy, and supporting new product development workflows.

The Catastrophe Analyst will support modeling processes, develop automation tools, analyze data, and work with underwriters to optimize portfolios and deliver model results.

The Quality Assurance Specialist reviews customer communications for accuracy and provides feedback. Skills needed include strong analytical and communication abilities, attention to detail, and proficiency in Microsoft Office.

The Digital Analyst role involves analyzing digital performance data, creating reports, and collaborating with teams to enhance digital solutions and customer experience.

The Analyst I, Global Data Manager role involves overseeing data management activities, collaborating with partners to meet trial requirements, and ensuring quality and compliance of clinical data documentation.

As a Data Entry Specialist, you will enter and manage data for AI training, ensuring accuracy and consistency while collaborating with AI developers and assisting in data analysis.