Performance Marketing Manager - Analytics
We are looking for a strong Performance Marketing Manager with solid technical and analytical capabilities. You will be working closely with data scientists and will have a deep expertise in using AB testing to validate observations. In this role, you will own global P&L and optimization of paid app marketing campaigns. Focusing on Mobile Apps Marketing, your analytical prowess will be instrumental in making data-driven decisions that contribute to the strategic success of your channel. You will exert influence across various technical teams, fostering cross-functional collaboration with data science, product, and engineering to efficiently manage marketing operations on a large scale.
What you’ll do:
* Own budget management and run ROI steering assessments independently
* Use your analytical expertise to draw relationship between data and performance, size opportunities to drive actions
* Develop channel strategy and testing roadmap, determine different phase milestones and priorities
* Lead process improvements and identify opportunities for operation automation
* Implement reporting and dashboards
* Proactively share industry trends, test results, partner updates, stay on top of the evolving app industry
Who you are:
* Master’s or Bachelor’s in Computer Science/Mathematics/Engineering/Statistics or related technical field, or equivalent related professional experience in applied analytical and statistics
* 5+ years of relevant experience in tech and highly analytical environment
* Hands-on experience managing online growth marketing channels (SEM, paid app, etc) including optimization of complex auctions at scale
* SQL/ Tableau expertise - Python or R is a plus
* Knowledge about mobile measurement best practices and app analytics platforms such as Branch, Appsflyer, etc is a plus
* Excellent presentation and communication skills
* Able to identify methods for collecting data, performing advanced data analyses, articulating findings
* Advance understanding of testing concepts and know how to design a test (draw hypothesis from data observation, test method, sampling, conclude results and learnings)