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Waitlist: Mock Interviewer - Data Analytics Career Track (Part-time/Remote)
Remote
Please note: we are currently at capacity for this role. However, we'd still love to connect with you! By applying to this role, you will be added to our waitlist. We will contact you as soon as we need more mentor support in this role .
**Mock interviews are all 1-hour video calls.**
There are two types of mock interviews:
- 1-Hour General Data Analytics Interview
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- Description: The General Data Analytics interview tests both a candidate’s problem-solving abilities as well as technical aptitude. The interviewer is looking to understand the ability of a candidate to solve data analytics problems. This type of interview can be posed in multiple forms - technical questions that have a correct answer, a scenario/case interview, or a mix of both.
- Skills for Interviewer: Ability to assess communication, to probe based on what the student shares. Sound knowledge of SQL, Excel, and related Statistical Analysis concepts.
- 1-Hour Project Presentation Interview
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- Description: During an interview process, candidates are typically required to present their findings on a project. This may be the final portion of a case study review or a request to share previous work. In this case, you will interview a student who is presenting a capstone project, and have them walk you through all elements, from conception and data cleaning to their recommendations and potential business impacts their recommendations would yield.
- Skills for Interviewer: Ability to assess communication, to probe based on what the student shares. Sound knowledge of SQL, Excel, and related Statistical Analysis concepts.
- Description: During an interview process, candidates are typically required to present their findings on a project. This may be the final portion of a case study review or a request to share previous work. In this case, you will interview a student who is presenting a capstone project, and have them walk you through all elements, from conception and data cleaning to their recommendations and potential business impacts their recommendations would yield.
We are an equal opportunity employer and value diversity at our company. We welcome applications from all backgrounds, and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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