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10+ years of experience in data and market analysis, consulting, and/or market research roles in the marketing and digital advertising field. Preferred focus on paid search or performance marketing
Possess a deep understanding of the app landscape, mobile space, and digital advertising
Do you consider yourself highly analytical, intellectually curious, and having a consistent track record in quantitative and qualitative analysis?
You have experience managing third-party information and research providers (e.g., comScore, eMarketer, App Annie)
Proficiency with analytical tools, statistical packages, and basic data access; experience with programming skills in Python, Java/Scala, and SQL is a plus
Experience working effectively with business, data science, and engineering partners to meet the data needs of the business. Translating business needs into analytical requirements
Ability to communicate the results of analyses in a clear and effective manner with sales, product, and leadership teams to influence the overall strategy of the product
Ability to operate comfortably and effectively in a dynamic, highly cross-functional, rapidly changing environment.
Strong organizational skills with attention to detail
Proficiency in Spanish or Portuguese is a plus!
Support Product Marketing, Sales, and the Executive Team with analysis for product performance and customer insight - Empower the global Sales teams with insights to inform and fulfill their strategic objectives and goals for every fiscal quarter - Quantify the impact of product, sales, and marketing initiatives on customer happiness and future behavior - Lead business analytic projects through all phases, including defining investigations, exploring data, analysis, interpretation, and presentation of results and work you're doing - Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance, and greater customer happiness - Monitor usage metrics, understanding business-based explanations for large scale trends, and patterns in customer lifecycle behavior
Education & Experience
Bachelor of Arts or Science in a quantitative field of study including business, statistics, math, economics or a related discipline. Graduate degree in a marketing-focused discipline a plus
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