Data Analyst 3 - San Jose, United States - Ursus Inc

    Ursus Inc
    Ursus Inc San Jose, United States

    2 weeks ago

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    Description

    JOB TITLE:
    Data Analyst 3


    LOCATION:
    San Jose or San Francisco, CA (hybrid)


    PAY RANGE:
    $ $69.00


    DURATION:
    10 monthsTOP 3


    SKILLS:


    5+ years of marketing or business analytics experience with synthesizing large-scale data sets to generate insights and recommendations.5+ years of working experience using SQL, Excel, Tableau, and/or Power B.

    R & Python knowledge are preferred.

    Understanding of the data science models used for measuring marketing incrementalityCompany:
    Our client a Fortune 500 Software Organization is seeking a Data Analyst 3 to bring onto the team

    Job Description:


    In this role, you will help plan and implement marketing effectiveness measurement across the paid and organic/owned Social Media channels.

    (Meta, YouTube, TikTok, etc...) This role will work closely with cross-functional teams toTrack weekly performance (spend & KPIs) and build automated dashboards/tools to enable self-serve insights.

    Set quarterly KPI targets, evaluate investment efficiency, and provide inputs on social channel optimizations.

    Perform content & audience level analysis, build full-funnel content measurement framework to understand 'what contents are performing best to which audience segments?'Design & Measure A/B tests (or Marketing Incrementality Test) to validate the hypothesis and findings to be used in modeling.

    Working with Social Marketers, Data Engineering, and Data Science teams to develop new tools from 0 to 1.


    Skills:


    5+ years of marketing or business analytics experience with synthesizing large-scale data sets to generate insights and recommendations.5+ years of working experience using SQL, Excel, Tableau, and/or Power B.

    R & Python knowledge are preferred.
    Understanding of the data science models used for measuring marketing incrementality, e.g.

    multi-touch attribution, marketing mix models, causal inference, time-series regression, match market test, etc....Understanding of the full-funnel cross-platform marketing and media landscape and experience evolving analytics and measurement capabilities.

    Flexibility in priority shifts and fast iterations/agile working environment.
    Strong problem-solving skills, and ability to structure problems into an analytics plan.
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