Job Description:
• 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
Benefits: