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Data Analytics Intern

S

SmartNews

Data Analytics Intern

San Francisco, CA
Internship
Paid
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  • Responsibilities

    Job Description

    Founded in Tokyo in 2012, SmartNews has quickly become the go-to source of news for millions of users around the world, and a leading news discovery mobile app. Our mission is to deliver the worlds quality information.

    We are looking for someone with an insatiable curiosity to deeply understand how to leverage growth technology to make our efforts to scale in the US the most efficient they can be. Are you an experienced analyst who is passionate about marketing technology and news? Join us, and help us scale SmartNews in the US and beyond.

    Responsibilities

    • Build and iterate on key models, reports and tools used by SmartNews US marketing team
    • Analyze long term trends to help US marketing team achieve optimal return on ad spend (ROAS) with continual improvements for our acquisition and onboarding metrics
    • Surface key data insights via visualizations, self-serve tools and dashboards as well as written and verbal communication during weekly stand-up and ad hoc meetings
    • Ensure optimal A/B test framework for paid acquisition, app store optimization (ASO) and onboarding tests
    • Create and improve predictive models (e.g. predict user propensity to become a loyal user early on)

    REQUIREMENTS

    MINIMUM REQUIREMENTS

    • Bachelors degree in Computer Science, Statistics or Economics
    • 2 or more years of experience in one or more programming languages used for data analysis (Python, R, etc.) and advanced SQL
    • Intermediate knowledge of applied statistics (fit regression curves, build predictive models, choose sample sizes, etc)
    • Experience with the Linux command line, github best practices, CI-CD best practices
    • Strong communication skills

    PREFERRED REQUIREMENT

    • Experience related to marketing / user growth, including 3rd-party APIs and tools
    • Experience with Apache Airflow
    • Prior work or internship experience related to apps or websites
    • Good understanding of the Mobile Attribution / Mobile App Tracking platform technology (Adjust, Appsflyer, Kochava, Singular) and underlying logic of mobile marketing technology