Discovery

  • Media Science Digital Data Analyst

    Posted Date 1 month ago(10/12/2018 10:02 AM)
    Requisition ID
    21040
    Location
    US-NY-New York City
    Career Category
    Marketing & Communications
    Type
    Company Employee Full-Time
  • Position Summary

    Our Team

    The Media Strategy & Analytics team acts as an internal media agency that handles the strategy, execution, and reporting of all paid & owned media vehicles with the goal of driving viewership across TV, digital and direct-to-consumer products for all of Discovery, Inc’s 16+ networks (Discovery, TLC, HGTV, Food Network, etc.).

     

    The Role

    The Media Science Digital Data Analyst is a critical role within the Media Strategy and Analytics team. As media consumption changes, so do the platforms where consumers watch content and the data that is available. This role will focus on the paid media analytics and measurement infrastructure of Discovery’s digital platforms – particularly OTT platforms for TVE and Direct-to-consumer apps. The Data Analyst will work with the media planning and buying teams to make sure that rigorous reporting and advanced analytics are a cornerstone of all paid digital acquisition and remarketing campaigns.

    Responsibilities

    Lifetime Value and Media Campaign Performance Tracking
    1. Build dashboards for automated reporting that can easily be interpreted and shared
    2. Measure and monitor effectiveness of digital campaigns across multiple channels for TVE and Direct-to-consumer products
    3. Analyze lifecycle marketing metrics, including trial and paid customers, retained customers and churn rates

     

    Cross Platform Measurement Infrastructure
    1. Build and onboard cross-device measurement solutions to track users across all platforms – including connected TV and digital measurement SDKs (such as Kochava)
    2. Work with product teams and vendors to define and refine data capture
    3. Develop multi-touch attribution models for paid digital campaigns

     

    Audience Segmentation and Predictive Analytics
    1. Use predictive analytics to identify segments that are at risk of cancelling their subscription
    2. Identify subscriber and usage trends based on seasonality, programing, etc.
    3. Create audience segments based on high-revenue users for acquisition marketing
    4. Explain complex analytical approaches in layman’s terms for non-technical teams

    Requirements

    * College degree within a quantitative discipline
    * 3+ years of work experience with data analysis
    * Experience manipulating large datasets for analysis purposes using programming language (SQL, Python, R)
    * Proficient in Tableau Desktop
    * Strong data entry and analysis skills
    * Proficient in Microsoft Office systems, specifically Excel
    * Understanding of digital media metrics, particularly paid digital (CPM, CPA, CPC)
    * Experience with statistical software (SAS, SPSS, STATA) is a plus
    * Self-starter, highly motivated, positive demeanor, excellent communicator, and able to juggle multiple assignments simultaneously
    * Must have the legal right to work in the United States

    New York City, New York, NY, NYC

    Options

    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed