Responsibilities Lead end-to-end analytical projects, from exploratory analysis and methodology selection through insight development and final delivery Develop quantitative models and advanced analytical solutions to support client decision-making across marketing, real estate, and consumer strategy initiatives Analyze large and complex datasets to identify trends, behavioral patterns, and actionable business insights Design and execute ad hoc analyses using Python, SQL, and statistical methodologies Translate analytical findings into clear business recommendations for both technical and non-technical audiences Work directly with internal stakeholders and clients to scope analytical questions, prioritize opportunities, and deliver strategic insights Operate independently across multiple projects in a fast-paced environment with minimal oversight Develop analytical outputs, visualizations, and reporting solutions to support business decision-making Collaborate cross-functionally to identify opportunities for deeper analysis and expanded client value Requirements Bachelor’s degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Business Analytics, or a related quantitative field required; advanced degree preferred Strong experience in quantitative analytics, statistical modeling, and data interpretation Advanced proficiency in Python for data analysis, modeling, and automation Experience working independently with large and complex datasets across multiple data sources Ability to structure ambiguous business problems into analytical frameworks and actionable recommendations Strong analytical thinking and problem-solving skills with a high level of intellectual curiosity Excellent written and verbal communication skills Ability to quickly ramp into new business contexts and contribute with minimal onboarding Comfortable operating in fast-moving environments with evolving priorities Experience in client-facing, consulting, or cross-functional environments a plus Proficiency with SQL and data querying concepts preferred Experience with predictive modeling, statistical analysis, or advanced analytics techniques preferred #J-18808-Ljbffr
