Responsibilities

• Execute analytical projects from established data requirements, that specific client deliverable, tasks, and analysis timing
• Acquire and aggregate data from a variety of sources; audit contents and ensure proper usage of data fields; merge, summarize, and transform data as required for analysis
• Work with internal teams to address client business problems, set expectations, communicate progress and issues, produce results, and deliver findings to clients in a highly professional manner
• Apply statistical methods and execute analyses, such as building targeting models, developing segmentation schemes, creating test designs, measuring program performance, identifying a

Requirements

• 4 Year / Bachelors Degree-Bachelor's degree in a quantitative discipline is required.
• 1 year of experience

Preferred

• Graduate Degree-Higher education in statistics, mathematics, analytic MBA, or other quantitative graduate degree preferred
• Familiarity with standard data analytics libraries such as Pandas and NumPy is a plus
• Experience with data visualization (e.g., matplotlib, R), other languages (e.g., Python), command line prompts in Linux and cloud platforms (e.g., AWS) is a plus
• Capable of working in a dynamic environment, handling multiple projects, meeting deadlines, able to prioritize appropriately and respond to issues quickly and creatively.