Data Analyst (mid level)
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 of this together to deliver truly great results for consumers and brands in the world’s biggest channel.
Covid-19 Hiring Update: As a company, we’ve transitioned to a work-from-home model and will continue to interview and hire during this time. This role is expected to begin as a remote position. We understand each person’s circumstances may be unique and will work with you to explore possible interim options.
Job Category
We are looking for an incredibly smart, dynamic and strategic Senior Data Analyst to develop data-driven insights that enable QuinStreet’s Marketing and Media teams maximize profitability while improving customer relationships. This role will be concentrating on advancing the growth of a premium product which has already had significant success. You will use statistical methods to extract valuable insights from our data that further growth for the product and ROI for clients.
Responsibilities:
- Data diagnostics – extracting, scrubbing and patching very large sets of data together from a variety of internal and external sources
- Reporting – summarizing data and automating reports around campaign performance, which will be utilized frequently in client interactions
- Forecasting – generating estimates for new and existing clients relating to site traffic, conversion and pricing
- Campaign Optimization – creating hypothesis tests and regression models to continuously calibrate campaign attributes to achieve maximum client spend and ROI
- Effectively communicating your insights and findings to other members of our Marketing and Media teams, as well as clients
Qualifications:
- Bachelor's degree in quantitative major like Statistics, Mathematics, Actuarial Sciences, Computer Science or related
- 2-4 years of experience in an analytical role, applying statistical methods
- Good understanding of statistical methods
- Experience with techniques and tools: hands-on experience with quantitative analysis and predictive modeling with tools like R or Python (R preferred), proficient in SQL
- Good communication skills: experience presenting and communicating effectively findings to colleagues and/or clients
- Outstanding problem-solving skills: you’re not just repeating a playbook, you’re looking at every problem with fresh eyes, and digging deep for insights and solutions.
- Proven track record of breaking down high-level business problems into analytical solutions
QuinStreet is an equal opportunity employer. We do not discriminate based on race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law.