Data Analyst

External

Rtbhouse · Brazil

Full-timeOn-site2w ago

BigQueryDeep LearningPythonScalaSQL

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Benefits

An attractive salary and benefits package, including language subsidies, Gympass and the possibility to participate in bonus programmes according to the rules established by RTB House.Good work-life balance.Work from home, from the office, hybrid... it is up to you!Unique opportunity to join a creative, fast growing company in online advertising.Opportunity to work in a truly international environment.Product that actually works, 99% retention rate and based on the newest AI Technology (Deep Learning).The joy of working and learning in one of the fastest growing tech companies in Europe (FT - 8th Europe's fastest-growing company 2020 / Deloitte Fast 50 Second Year Running).A rewarding career in a high energy and inspiring atmosphere with no corporate habits.The opportunity to participate in ambitious projects in a growing international organization.Apply now!You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.Information for Applicants: BrazilPerformance bonus

Additional Information

Location: Brazil We Are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. You Will: Analyze revenue, margin, CTR, conversion rates and other financial metrics; Interact (in a clear and effective way) with different business areas and teams; Execute seasonal studies and help to create relevant client-oriented material; Maintain reports in support of Account Management and Sales teams; Help Account Management and Technical Support teams with campaign optimization and strategies, providing on-demand analysis. Desired Experience: Bachelor's degree or higher in Mathematics, Computer Science, Engineering, Statistics, and related fields; Professional experience as a Data Analyst, Business Intelligence or similar; Programming experience (Python, R, Scala, etc.); Experience querying data with SQL; Experience with Google BigQuery is a plus; Experience with Digital Marketing is a plus.

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