Analyst / Associate, Business Operations
6 days ago
Junior level data scientist who loves to build models, software, projects, and solutions. Analyze data, create value, align team members, and get things done. Tackle ambiguous and complicated problems, and create rigorous solution methodologies.
Understands and combines data from a variety of data sources to create meaningful analyses. Reports, extracts, segments, summarizes, and analyzes organizational data creating clear and meaningful graphs, charts and other visualizations.
Research and recommend targets for key metrics and performance indicators using external benchmarks and internal data. Create predictive and statistical models to understand customer and agent behavior. Develop ML models and algorithms, together with the Technical teams, that tackle customer and credit problems.
Write programming code in SQL, Python, R or similar to extract, merge, combine, analyze, and ultimately visualize and present datasets. Additional programming experience in Java and Clojure is a plus.
Creative and imaginative problem solver who’s excited to learn and identify opportunities and who’s instinct is to take action and make improvements for the business and the team.