Data Analyst Intern (6 months) - RPD

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.

Key Responsibilities

• Data Analysis & Insights:
• Analyze large datasets related to insurance premiums, customer behavior, revenue trends, and monetization performance.
• Identify patterns, trends, and anomalies to provide actionable insights.
• Data Cleaning & Preparation:
• Process, clean, and validate data from various sources to ensure accuracy and reliability.
• Tool Development Support
• Collaborate with the product and development teams to integrate data insights into new tools.
• Assist in the automation of data processes for scalability and efficiency.
• Basic Machine Learning Models:
• Assist in building and deploying basic machine learning models, such as regression, classification, and clustering models, to uncover predictive insights.
• Use ML techniques to identify trends and predict outcomes,.
• Revenue Optimization:
• Work with the team to identify opportunities to optimize site monetization strategies through ad placements and targeting.
• Assess ad performance metrics like click-through rates (CTR), cost per click (CPC), and impressions to propose data-driven strategies.
• Dashboard Creation & Reporting:
• Design and maintain dashboards to track KPIs for revenue and insurance metrics.
• Present findings through reports, charts, and visualizations to key stakeholders.
• Collaboration:
• Partner with cross-functional teams to understand data needs and ensure alignment of insights with business goals.
• Support ad hoc analytical requests from stakeholders.

Qualifications & Skills

Required:

• Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering or a related field.
• Proficiency in data analysis tools such as Python, R, or SQL.
• Familiarity with data visualization tools like Tableau, or Power BI, and Excel.
• Basic understanding of statistical concepts and techniques.
• Exposure to machine learning frameworks such as Scikit-learn or TensorFlow.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent written and verbal communication skills.

Preferred:         

• Experience applying basic ML models (e.g., linear/logistic regression, decision trees, or k-means clustering) in real-world scenarios.
• Exposure to large datasets, especially in insurance, finance, or ad tech domains.
• Knowledge of web analytics tools (e.g., Google Analytics).
• Familiarity with predictive modeling techniques and pipeline building.
• Experience working with ad monetization platforms (e.g., Google AdSense, programmatic ads).

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.