We’re looking for a data and operations analyst to join our user fraud product area at Spotify. You will support the overall anti-abuse strategy at Spotify, to effectively combat behavior that negatively impacts the experience of our artists, fans and users. Above all, your work will impact the way the world experiences music and the method in which a billion fans will connect with a million artists. This is a great way to introduce an Operations Analyst to data science and/or the music industry.
As an Anti-Abuse Operations analyst at Spotify, you will work globally across technology, legal, royalty payments and licensing teams, as well as with the teams engaging with the music industry directly. You will defend the integrity of the Spotify platform, its users and label partners worldwide. The operations staff, data scientists, and engineers on the Anti-Abuse team are passionate about data, have an investigative attitude and a curiosity about spotting patterns, trends, and anomalous behaviors. The team also appreciates a fun, friendly, high-impact, and music-oriented work environment!.
What You'll Do
Address incoming support cases by demonstrating hands-on mitigation workflows and ad-hoc analysisMaintain proper written and verbal communication threads and protocols with relevant internal and external collaborators, such as local Spotify music teams, rights-holders, legal and other affected partiesDuring daily work, you identify and recommend improvements to policies, processes, systems, and products that enable efficient anti-abuse mitigation for the company
Who You Are
Preferred Bachelor’s degree in technology or analytical disciplineAn awareness of SQL and a contextual understanding of querying large data sets.You have a deep understanding of numbers, as well as a strong business sense to understand impact to the companyYou are capable to meet tight deadlines and will be focused on executionPrevious exposure to using data visualisation dashboards (Tableau / Looker)You are structured and detail orientedStrong verbal and written English communication skillsStrong presentation skills and the ability to explain complex topics and recommendations in simple termsExperience in deriving a set of relevant signals from a large set of data, summarising it and drawing conclusions from it that can facilitate automation and preventionExperience with fraud/abuse investigations, fraud risk management, security, and threat analysis for Internet-related productsComfort using AI-powered tools to enhance productivity and streamline fraud analysis workflows
Where You'll Be
This role is based in London or Stockholm.We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.