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Product Analyst, Intern

Ancestry

Product Analyst, Intern

San Francisco, CA
Internship
Paid
  • Responsibilities

    Job Description

    Ancestry is currently seeking highly motivated, internet-savvy interns who can work full-time for 12-16 weeks during Summer 2018. Our summer internships allow you the freedom to experience impactful business projects that allow you to develop your talents. You will enjoy mentorship, and experience challenging work all while receiving fantastic pay, fully-paid temporary housing, and having a lot of fun—we have it all. Oh, and did we mention the possibility of full-time employment once you graduate?

    From Engineering to Marketing, UX Design, DNA Science, Product and more, we’re looking for fresh minds and diverse ideas with an interest in connecting families and technology. Come join a diverse company of enthusiastic, talented, smart, and very passionate people who bring their A-game each day.

    Internship Project Description

    If you are passionate about data driven decision making and rapid innovation in product, this will be an incredible experience for you. You will work in a professional environment and have ample opportunity to network with department heads and other professionals within your discipline. The Product Analyst intern will work with Sr. Product Analysts, Manager of Product Analytics and Sr. Director of Customer/Product Analytics.

    This is what you will do….

    Your main responsibility is to conduct insightful analysis, create data visualization and build advanced statistical models to understand, measure, and monitor customers experience within product incorporating qualitative data collected on customer satisfaction and NPS.

    Tasks & deliverables:

    Learning

    • Behavior tracking technology
    • SQL and data visualization
    • Analytical and data science process
    • Team work and presentation skills

    Deliverables

    • Pull dataset as requested by analysts
    • Document and QA data
    • Conduct exploratory and descriptive analysis.
    • Create visualization to tell data story
    • Use advanced statistical skills to analyze customer product and social behavior