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Senior Data Analyst

Lehman Brothers
Remote / Hybrid · NYC Remote-first · min. 35 hrs/wk from Manhattan HQ Comp · $45,000 – $50,000

Lehman Brothers is an American global financial services firm founded in 1850. Lehman is the fourth-largest investment bank in the United States, with about 25,000 employees worldwide.

About the role

We are looking for a highly motivated and detail-oriented Data Analyst to join our team. In this role, you will be responsible for building and maintaining user tagging systems, developing user profiles, and generating actionable insights from large-scale user data. You will work closely with cross-functional teams to support personalized services, risk control strategies, and data-driven decision-making across the organization.

Responsibilities

→Manage and maintain a comprehensive user tagging system to support personalized services and risk control initiatives.
→Analyze user behavior data to build accurate, dynamic, and actionable user profiles.
→Perform data mining, feature engineering, and exploratory analysis to extract meaningful insights from large-scale datasets.
→Collaborate closely with cross-functional teams, including Product, Risk, Marketing, and Technology, to optimize user segmentation and targeting strategies.
→Monitor and evaluate the effectiveness of user tags and profiles, continuously improving data quality, accuracy, and relevance.
→Identify patterns, anomalies, and emerging trends in user behavior to support business growth and risk mitigation.

Requirements

→Bachelor’s degree or above in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
→Minimum 5–7 years of experience in data analysis, user profiling, customer segmentation, or related areas.
→Proficiency in Python, SQL, and data visualization tools such as Tableau or Power BI.
→Solid understanding of user tagging methodologies and user journey mapping.
→Familiarity with black-market ecosystems and the operating models of bonus abuse, promotion abuse, or fraudulent studio groups is highly preferred; hands-on experience in identifying and combating such activities is a strong advantage.
→Knowledge of machine learning techniques and experience applying them to user data is an advantage.

Benefits

✦ Extended PTO (10 days) ✦ Pizza fridays