Data Analytics Intern

Monitor key funnel and loan performance metrics, reports, and dashboards Evaluate product performance and identify root causes of metric changes Establish funnel and loan performance metrics Develop automated reporting and alerting using SQL and Python Conduct advanced data analytics to evaluate trends and recommend optimization strategies Collaborate with cross-functional teams to implement funnel or underwriting strategy changes Monitor releases and perform impact analysis Analyze A/B testing data for funnel or underwriting optimization experiments Evaluate experiment impact and provide recommendations Requirements Current junior or incoming senior majoring in Mathematics, Statistics, Computer Science, Engineering or a related field Experience with relational databases and SQL Data analysis experience with Python Strong quantitative and problem-solving skills with key attention to detail Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship Candidates must be local to Chicago or able to relocate independently; relocation assistance is not provided Experience with BI tools is an additional plus Pursuing an advanced degree in a quantitative discipline is an additional plus Core Competencies Demonstrates expertise in data analysis and performance evaluation using SQL and Python, with a strong focus on quantitative problem-solving and attention to detail. Capable of collaborating with cross-functional teams to optimize funnel and underwriting strategies through advanced analytics and reporting. Highest-signal resume keywords SQL Python Data Analysis Quantitative Skills BI Tools ATS Optimization Keywords Hard Skills Data Analytics Relational Databases Automated Reporting A/B Testing Performance Metrics Soft Skills Problem-Solving Attention to Detail Industry Keywords Funnel Performance Loan Performance Impact Analysis Optimization Strategies Cross-Functional Collaboration