Über
Become the foremost expert on Inscape's ACR dataknowing how it works, where it breaks, and how to adapt it for client needs. You are the bridge between our internal data teams and external clients. Internally, you partner with engineering to understand product rollouts and surface viewership trends. Externally, you are the trusted guide for data licensees and media clientstroubleshooting issues, educating on workflows, and overseeing audience segment creation. You ensure clients feel taken care of while helping VIZIO define the future of connected TV. About the Team
We are the connective tissue between VIZIO's data team and the businesses that rely on us. Sitting at the intersection of Inscape's ACR technology and our external clientsboth data licensees and media buyerswe make sure the data actually works for the people who need it. We are problem solvers who speak two languages fluently: engineering and business. Whether we are helping a licensee unlock a new insight or ensuring a media buyer trusts the numbers, our goal is simple: make VIZIO's first-party data the most accessible, reliable asset in the ecosystem. What You'll Do
Master Inscape's ACR data to uncover novel applications for data licensees and VIZIO Ads clients Troubleshoot client issues around data delivery, comprehension, limitations, and bug fixes Create deliverables that help customers quickly understand our products and workflows Partner with product and engineering teams to assess how rollouts impact data licensees Ensure customers feel fully supported and well taken care of Oversee ACR audience segment creation for both licensee and VIZIO Ads clients Surface viewership trends and craft compelling narratives for clients, marketing, and industry publications What You'll Bring
Experience in product, engineering, data, or TAM roles working with technical systems. Comfortable presenting to large groups internally and externally. Deep familiarity with programmatic video and CTV workflows. Proficient in SQL, RedShift, Oracle, Tableau, Excel, and PowerPoint. High urgency for customer responsiveness paired with strong technical skills. Good understanding of database architecture and datasets for media targeting and measurement. Genuine desire to understand customer businesses and build lasting relationships. Ability to distill complex problems into simple, actionable solutions. Thrive in ambiguous, fast-paced environments. Bachelor's degree in a technical field required. Minimum Qualifications
Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field. Preferred Qualifications
Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau) Primary Location
180 Montgomery St, San Francisco, CA 94104-4230, United States of America
Sprachkenntnisse
- English
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