Specialized Analytics Lead Analyst

Citi • New York, NY

1d

About The Position

Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Responsible for handling staff management issues, including resource management and allocation of work within the team/project. Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques Incumbents in this role may often be referred to as Data Scientists Specialization in marketing, risk, digital and AML fields possible

Requirements

• 10+ years of experience
• Working experience in a quantitative field, Financial/Credit Card industry preferred
• Deep modeling expertise and experience with analytic techniques and tools
• Excellent analytical thinking, practical problem solving abilities, and partnership skills
• Expertise in R, Python, H2O, and SAS
• Willing to learn and can-do attitude
• Bachelors/University degree

Nice To Haves

• Master's degree preferred

Responsibilities

• handling staff management issues, including resource management and allocation of work within the team/project
• evaluate, recommend, and support the implementation of business strategies
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level