Company

Iris.tvSee more

addressAddressRemote
type Form of workInternship
salary Salary$32K - $40.5K a year
CategorySales/marketing

Job description

IRIS.TV is the world's leading video data platform. Founded in 2013, our mission is to connect and activate video data from any source to power better consumer experiences and business outcomes.

At IRIS.TV, we help our customers and partners maximize the value of their investment in video. Our privacy-first, neutral video data platform provides the leading media, data, advertising, and marketing companies with seamless ingestion, enrichment, and activation of video data.

We're in the business of creating more valuable and enjoyable streaming video experiences for everyone. Because when great storytelling and journalism thrives, so too does our culture and communities.

We're growing our world-class team and we'd like to meet you.


Our values

We see a world where consumers, brands, and publishers are aligned - with more engaged audiences, fewer wasted impressions, greater respect for privacy, and better results for all stakeholders.

Innovation

We're building the future of video and transforming the way video data is shared with the entire marketplace. From our products to our people, innovation is a core tenet of our business.

Trust

We've engineered an open ecosystem that enables anyone investing in video to unlock the power of their data. And it's all built on a foundation of trust and transparency with our partners and customers.

Impact-Oriented

The bottom line is our top priority. We've built our entire platform to deliver measurable business outcomes with frictionless, flexible technology solutions.

Privacy & Security

We put privacy and data security first. Our solutions are built to solve problems in a post-cookie world, elevating video-level data while being fully compliant with global privacy laws.


The Role

IRIS.TV is looking for a Summer Marketing Research Intern. This is a paid internship. As a marketing research intern, you'll help turn data into insights for the entire IRIS.TV team. In this role, you'll use your analytical and storytelling skills to share data-backed perspectives that inform critical business decisions.


Location

Remote. Eastern or Central Time Zone preferred


Responsibilities

  • Support the execution of primary and secondary research initiatives by applying a variety of research methodologies and techniques including online surveys, in-depth interviews, marketplace analysis, and competitive research
  • Analyze, organize, and distill both quantitative and qualitative data into key insights; package insights into comprehensive and cohesive internal reports
  • Serve as research liaison with internal stakeholders, regularly sharing findings with broader marketing and sales teams

Qualifications

  • Internship will last approximately 1x semester
  • Must have at least a 3.0 GPA or greater at time of application
  • At time of application, you must be enrolled in an educational institution
  • Ideally working towards marketing, business, economics, or other research-driven degree
  • If undergrad, must be a final year student
  • Strong Excel & Powerpoint skills
  • Experience finding insights/telling stories using data
  • Excellent verbal and written communication skills

Bonus points if you have experience with

  • Hands-on experience with modern Video AdServers and SSPs, such as Freewheel, SpringServe, GAM, and/or Publica; Magnite, SpotX, Xandr, Index, etc.
  • MVPD/Content Distribution Partners such as Sling/Dish, Xumo, Fubo, etc.
  • Prior roles have varied practical experience across more than one pillar of the CTV Lumascape
  • Knowledge of code platforms such as Airtable and Zapier as well as experience in data visualization tools such as Google DataStudio a plus

Diversity, Equity, and Inclusion

IRIS.TV is committed to building a diverse, equitable and inclusive workforce. IRIS.TV is an equal opportunity employer; we welcome and consider qualified applicants regardless of gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, pregnancy status, veteran status, or any other differences. Members of communities historically underrepresented in tech are encouraged to apply.

Refer code: 8634441. Iris.tv - The previous day - 2024-03-19 06:24

Iris.tv

Remote
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