Launching next year, Quibi is the first entertainment platform that fits perfectly into any moment of your day. We’re on a mission to entertain, inform and inspire with fresh content from today’s top talent—one quick bite at a time. Founded by Jeffrey Katzenberg and Meg Whitman, Quibi brings together the best of Hollywood and Silicon Valley.
Every day, we’re defining the next era of storytelling while reinventing what a start-up can look like. Our trailblazing team is laser focused on our core audience, producing awe-inspiring shows for an intuitive, mobile-first platform, and creating a culture where everyone is heard. Yes, it’s a tall order—and that’s what makes it so exciting. If you’re ready to roll up your sleeves and build something from the ground up, working here will never be just a job.
Quibi is seeking an experienced analytics engineer to join our Data and Analytics Engineering team. We are looking for someone who is an expert at turning large, complex data sets into simple, actionable insights and data visualizations.
What You'll Do:
Develop high-impact dashboards and analyses to build visibility into core business metrics and consumer behavior
Facilitate information self-service to business users through data pipelines and custom analytic tools
Define and track key business metrics; design reports and analyses to monitor and understand them
Spearhead the creation of metrics that provide actionable insights to key decision-makers
Clearly communicate insights and recommendations to key stakeholders
What You'll Need:
5+ years of experience in data analytics roles, preferably at content and/or subscription businesses
Analytics and Dashboarding - Looker, Tableau, etc
Data Modeling, Analysis, and Design
Building and refining metrics to drive business priorities
Expertise in SQL, programming skills (e.g. Python, Scala), ETL and data warehousing concepts
Intellectual curiosity with an ability to turn analysis into actionable insights to guide decision making
Strong communication skills and the ability to present analysis, clearly and concisely, to senior executives and team members who may not have an analytics background
Passion for creating bespoke analytic tools using basic software engineering principles
Enthusiastic about innovating in a fast-paced data and analytics space