Decision Science - Marketing & Communications Intern

Responsibilities

• Utilize customer and market data to identify challenges and create actionable solutions using a blend of business and technical skills.
• Identify, integrate, and structure complex data flows.
• Design and conduct explanatory analysis at the right level of complexity to produce relevant results for the business.
• Provide qualitative and quantitative data support to ensure accuracy of metrics.
• Validate, manipulate, and perform data analysis tasks.
• Collaborate with team members on projects as directed.
• Be prepared to work with relational databases, reporting systems, discovery tools, or pilot new proofs of concept.
• Perform other duties as assigned.

Requirements

• Pursuing or Obtained a Bachelor's or Master's degree
• Related internship/data work experience.
• Python and/or SAS literacy.
• Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results.
• Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making.
• Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands.
• Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients.
• Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility.
• Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude.
• Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position.

Preferred

• Pursuing or Obtained a Bachelor's or Master's degree is a must have.
• GPA 3.0 or above (preferred).
• SQL experience strongly preferred, experience with dashboarding, scorecard, or reporting tools a plus.