Product Analytics Intern

• Partner with Product Engineering Data Platform Data Science Design and Business Operations peers to first understand the business and identify opportunities to improve how we understand consumer engagement
  
• Deep dive analyses feature experimentation and selfserve analytics reporting for crossfunctional teams
  
• Work directly with stakeholders delivering impact and shaping the role of data throughout
  
• Contribute to highpriority workstreams within Kounsel. Your work and understanding will help shape the direction of the intersection of data and design decisionmaking
  
• Develop a set of learning goals to be incorporated into daily responsibilities.
  
• Hone technical and analytical skills working closely with stakeholders to define and deliver effective analytical solutions (selfservice data platforms dashboards exploratory data analysis)
  
• Develop strong relationships with peers and crossfunctional teams to thoroughly understand the editorial product and its workflow delivering sharp insights
  
• Collaborate across multiple functions and tackle the analytics process end to end from cleaning and transforming data to analysis and presenting insights
  

Requirements

• Cumulative GPA of 3.0 or higher (Please upload ALL transcripts as part of the application process)
  
• Recently completed a degree in Marketing Business Management Economics or a related field
  
• Excellent English communication problemsolving and creative thinking abilities
  
• Demonstrated analytical mathematical and data management skills
  
• Proficient computer skills including Microsoft Excel and some additional programming skills
  
• Proficiency in a technical language or tool e.g. SQL Git and R or Python
  
• Familiarity in one or more visualization tools such as Looker/Mixpanel/Tableau/Mode/Domo or willingness to learn
  
• Academic experience in a quantitative/ tech discipline
  
• Interest in product analytics or technology space
  
• Ability to explain technical concepts in nontechnical terms
  

• Completed Bachelors degree within the last two years or enrolled in a Masters or PhD program.
  
• Excellent written and oral communication and presentation skills in English.
  
• Strong problemsolving abilities and attention to detail
  
• Ability to work independently and manage time effectively while also contributing to a team environment.
  
• Must have the equipment and environment to work remotely (laptop/computer reliable internet connection quiet conducive space).