Powering Performance Marketplaces in Digital Media QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and “research and compare” consumers with brands. We run these virtual- and private-label marketplaces in one of the nation’s largest media networks. Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results. Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience. We believe in: - The direct measurability of digital media. - Performance marketing. (We pioneered it.) - The advantages of technology. We bring all this together to deliver truly great results for consumers and brands in the world’s biggest channel. Job Category In this role you will become an expert on optimal performance and strategy of digital marketing campaigns. You will work with fellow analysts to analyze, conjecture, and manage investigations, product fixes, and optimizations to increase our yield and support our relationships with Media Partners. You will be required to develop a deep understanding of the related data sources and leverage them to inform business decisions. You will be required to develop a deep understanding of our analytical tools and the automation of business processes and decision-making. You will need to leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment. You will be expected to delve into business problems and analyze opportunities for growth. You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems; you will be expected to communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business. Responsibilities - Develop a deep understanding of the related data sources and leverage them to inform business decisions - Develop a deep understanding of our analytical tools and the automation of business processes and decision-making - Leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment - Dive into business problems and analyze opportunities for growth - You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems - Communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business. Requirements - 3+years of experience in an analytical role is required - Inquisitive mindset that is willing to challenge status quo and various stakeholders - Ability to digest disparate datasets and visualize key trends or takeaways from raw datasets - Excellent communication and presentation skills with the ability to synthesize key takeaways and present data-proven results - Strong analytical, organizational and problem-solving skills including abnormality detection, predictive analysis, market segmentation, and competitive analysis. - Experience in using SQL with enterprise datasets is required - Experience in R or Python is required - Experience with Tableau or other related Business Intelligence Tool is required - Experience with automation in an enterprise setting is a major place The expected salary range for this position is $80,000 USD to $130,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. The salary may be adjusted based on applicant's geographic location. The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units. This position is eligible to participate in the Company’s standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits. #LI-REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law. Please see QuinStreet’s Employee Privacy Notice here.

• Analyze data to generate strategic insights and support decision-making; • Develop and model complex dashboards and panels to identify business and market trends; • Perform data modeling to build analytical solutions; • Conduct exploratory analyses and data quality validations; • Collect, process, clean, and transform data into structured, relevant information; • Collaborate with product teams and business areas to gather requirements; • Use and enhance solutions on analytical platforms and BI tools; • Support the evolution of the data architecture (Data Lake / medallion architecture).

• Analyze data to generate strategic insights and support decision-making; • Develop and model dashboards and complex panels to identify business and market trends; • Perform data modeling to build analytical solutions; • Conduct exploratory analyses and perform data quality validations; • Collect, process, clean, and transform data into structured, relevant information; • Partner with product teams and business areas to gather requirements; • Use and enhance solutions on analytical platforms and BI tools; • Support the evolution of the data architecture (Data Lake / medallion architecture).

• Analyze data to generate insights and support decision-making; • Develop, model, and maintain complex dashboards and reporting panels to identify business and market trends; • Perform data collection, cleansing, and transformation into relevant information; • Conduct exploratory analyses and data quality validations; • Participate in client meetings to understand requirements and present results; • Apply data modeling best practices focused on visualization and dashboard performance; • Use BI tools and analytics platforms to build reports and analyses; • Support the standardization and organization of information for consumption by business areas.