Media.net is seeking a mid-level Data & Spam Analyst for a hybrid role combining data analysis and spam/fraud detection in AdTech. Responsibilities include managing business reporting, verifying revenue accuracy, analyzing data impacting business, delivering reports, monitoring ad traffic for fraud, investigating suspicious activities, developing detection rules, collaborating with teams, and documenting fraud cases. Required skills include proficiency in SQL, Excel, Python, BI tools (Tableau, Power BI, Looker), ETL processes, and strong attention to detail. Preferred experience includes statistical tools (SAS, SPSS, R), fraud detection methodologies, big data tools (Hive, Spark, Presto), advertising platforms (Google Ads, DSPs, SSPs, Exchanges), and machine learning for fraud detection. Candidates should have 3-5 years experience in data analytics or fraud analysis within AdTech or related fields and a relevant bachelor's degree. Benefits include competitive salary, medical and life insurance, catered meals, flexible hours and holidays, casual dress code, and a concierge desk.
What you'll do
Manage business reporting for multiple teams and monitor performance against KPIs
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Competitive salariesMedical insuranceLife insuranceCatered mealsComfortable and fun workspaces with bean bag chairs, ping pong tables, and snacksNo dress codeFlexible work hoursFlexible holidaysConcierge desk that doubles as a travel agency
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