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Data Analyst Intern (6 months) - RPD
QuinStreet
posted 19hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- 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).
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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