Fraud Operational Analyst

Fraud Operational Analyst at Spotify

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, 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 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 analysis.
• Maintain 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 parties.
• During 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 discipline.
• An 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 company.
• You are capable to meet tight deadlines and will be focused on execution.
• Previous exposure to using data visualisation dashboards (Tableau / Looker).
• You are structured and detail-oriented.
• Strong verbal and written English communication skills.
• Strong presentation skills and the ability to explain complex topics and recommendations in simple terms.
• Experience 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 prevention.
• Experience with fraud/abuse investigations, fraud risk management, security, and threat analysis for Internet-related products.
• Comfort 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.

Key skills/competency

• Fraud Investigation
• Anti-Abuse Strategy
• Data Analysis
• SQL
• Data Visualization (Tableau/Looker)
• Risk Management
• Threat Analysis
• Operational Support
• Communication
• Pattern Recognition