Senior Manager, Data Analytics

Job Category

As a key member of the Strategic Marketing & Analytics team, you will be responsible for data-driven insights that enable QuinStreets Marketing and Media teams to maximize profitability while developing customer relationships. You will gather, organize, and aggregate complex sets of data in order to produce meaningful business insight in areas such as ad network optimization, ad merchandising, marketing performance, quality monitoring, partner development, product testing, and more. You will also communicate your insights and findings to various members of our Client, Media, Analytics, and Executive teams.

Responsibilities

• Work closely with media and client managers to understand business opportunities for media, client and market growth.
• Actively mine data to develop actionable insights from our proprietary datasets using various statistical techniques.
• Evaluate strategies and forecast their expected impact to the key performance indicators.
• Support analysis and monitoring of business metrics and trends.
• Key liaison between business and technical teams in managing day to day data analytics.

Qualifications:

• Record of high academic achievement with a BS degree in Business, Economics, Engineering, Math/Science, or otherwise proven background in business/analytics. MS preferred.
• 5+ years of work experience in data analytics/science.
• Strong understanding of statistical methods used in to elicit insights from data.
• Strong analytical mindset with a drive toward actionable insights from data.
• Deep interest in online marketing and media industry. Industry experience a plus.
• High internal motivation with ability to understand the full stack of product development.
• Willingness to initiate and own research, exploration, and analysis from start to finish for any business problem.
• Good interpersonal skills and ability to remain focused-yet-flexible in a fast-paced internet company environment.
• Proficiency in MS Excel, Tableau and SQL.
• Familiarity with Python (preferred) or R programming to the level necessary to perform ad-hoc analysis.

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