精选Data岗位 | Roblox、SelectQuote、Axios发布最新岗位！

👇👇👇

• Minimum 3.5 GPA Required within one of the specified fields of study: Economics, Statistics, Business Analytics, Business Analytics, Actuarial Science, Mathematics, Finance, Data Science, etc.

• Evidence of applying analytical skills through an analytically focused internship

• Strong track record of extracurricular involvement

• “SelectQuote Sauce” – well-rounded analytical skills, and the ability to apply those skills to developing holistic solutions while effectively communicating with stakeholders along the way. Strong ability to tackle complex and ambiguous requests from senior leaders and executives.

• Commitment to continued learning and professional development

• Willing to relocate to the Kansas City area

Preferred Qualifications:

• Successful completion of 2 or more analytical internships (Investment Banking,Private Equity, M&A Advisory, Strategic Consulting preferred)

• MBA or relevant graduate degree (either completed, pursuing, or planning to pursue)

• locations

• Working towards a degree (PhD included) in CS, Statistics, Mathematics, Economics, or similar

• Passionate about using knowledge in data science, machine learning to deliver insights

• Highly proficient in SQL, Python/R, Linux

• Able to thrive in a fast-paced work environment: provide insights from data that help to improve our product

• Interested in large user-generated content platforms

• Willing to work full-time and onsite

  
  

• locations

  
  

• locations

• You are excited by data and its impact 

• You are comfortable digging into something new and asking questions

• You exhibit strong attention to detail

• You possess exceptional communication skills

• You have a wildly collaborative spirit 

• Skills:

• Excellent problem-solving and troubleshooting skills

• Self-motivated to dive in and figure things out and proactively reach out for help when necessary

• Experienced telling stories with data

• Exposure to data visualization & business intelligence (BI) tools such as Looker, Google Data Studio, R-Shiny, Excel, Tableau, etc.

• Exposure to a programming language such as SQL, Python, R

• Basic understanding of descriptive statistics

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