Citi Group VP Business Analytics Lead Analyst Hybrid 

United States, Texas 

619988175

Essential Job Function:

• Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.

• May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis

• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings

• Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies

• Gathers data from various cross functional stakeholders to examine past business performance

• Develop advanced analytics using an assortment of modeling methods, algorithms, and techniques, e.g., predictive modeling, text mining, statistical forecasting and analysis, optimization, and simulation modeling

• Prepare & present findings to management and collaborate with business partners

• Execute day to day project management for on-going initiatives to ensure quality of deliverables and ensure timelines are met

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• Strategic thinking and thought leadership to identify and communicate business opportunities

• 5+ years experience in analytics and modeling or relevant area.

• Extensive hands-on coding experience across various big data environments with at least one of below language: Python, Impala, Hive, SAS, SQL, etc.

• Experience in Big Data platforms and related technologies such as Hadoop, Hive, Pig, Apache Spark, Teradata etc.

• Machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.

• GIS experience and background a plus but not required.

• Excellent quantitative and analytic skills; ability to derive patterns, trends, and insights, and perform risk/reward trade-off analysis.

• Ability to build effective presentations to communicate analytical findings to a wide array of audiences.

• Ability to thrive in fast paced environment dealing with ambiguous business challenges

• Strong interpersonal, collaboration & influencing skills

• Experience in the financial & banking services

Education:

• Bachelors/University degree, Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Anticipated Posting Close Date:

View the " " poster. View the .

View the .

View the