Job description

Requirements

  • Entry level
  • No Education
  • Salary to negotiate
  • New York City

Description

We’re looking for a Research Manager to drive measurement innovation at Spotify. This role will be an integral part of the Advertiser Research & Measurement team – driving our value proposition to agencies and brands by demonstrating the power and performance of Spotify as a media platform. Above all, your work will impact the way the world experiences music.

What You’ll Do
Execute research across all areas of survey and attribution measurement: survey design, project management, data integrity and fieldwork supervision, data analysis, storytelling, report creation and presentation and troubleshooting
Partner with our most strategic advertiser and agency partners on research and ad effectiveness execution
Develop and execute against vertical-specific measurement strategies
Work cross-functionally with Marketing, Sales, and Product to evaluate and onboard new measurement partners and custom research projects based on industry needs
Contribute to Spotify’s POV regarding new/current measurement solutions, and educate our Sales and Marketing teams accordingly
Provide critical industry expertise – staying ahead of industry trends, methodologies, and 3rd party partnerships, adjusting Spotify’s measurement product roadmap accordingly
Track the performance and impact of measurement capabilities, making product optimization and partnership recommendations
Partner with internal stakeholders and clients regarding training and product consultation as needed
Lead measurement vendor relationships
We’re an ever-evolving team – responsibilities may shift over time and there is a huge opportunity to drive impact within Spotify!
Who You Are
6-10 years in advertising research – at a research vendor, media owner, advertiser or agency partner – with at least 4 of those years working in digital advertising
A successful track record of evaluating and on-boarding digital measurement solutions and products from beginning to end
Experience working with Product teams to bring new products and capabilities to life at a technology company
Strong background in quantitative advertising research, with solid skills in designing and analyzing complex research studies
Extensive experience in data analysis and storytelling, going beyond the “what” to tell the “why” within research results
Hands-on and inherently curious, and go above and beyond if you find data taking you in interesting and/or unexpected places
Extensive experience with vendors in these three measurement areas:
-Reach: viewability, on-target percentage, etc.
-Resonance: brand awareness, consideration, intent, etc.
-Reaction: attribution, sales lift, online-to-online, foot traffic, econometric modeling, etc.

An extremely strong knowledge of the digital marketing ecosystem, measurement capability landscape, and how it all works from a technical perspective
Broad knowledge of measurement solutions, spanning CPG, Auto, Entertainment, Retail, Tech, etc.
A positive and collaborative team player who values building strong relationships with colleagues and stakeholders
Global research experience is a plus
Skills in big data tools like R, Python or SQL are a plus
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.

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About the company

Spotify is a Swedish commercial music streaming, podcast and video service that provides digital rights management-restricted[4] content from record labels and media companies including BBC, Sony, EMI, Warner Music Group, and Universal.[5][6] Music can be browsed or searched by artist, album, genre, playlist, or record label. Paid "Premium" subscriptions remove advertisements, improve audio quality and allow users to download music for offline listening.[7]

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