Associate II - Data Analytics

Physical Requirements:

• Sedentary Work

Related Skills:

• Collaboration

• Continuous Improvement Mindset

• Data-Driven Business Intelligence

• Data Engineering/Analytics

• Data Visualization

• Predictive Modeling

• Problem Solving

• Programming

• Resourcefulness

• Statistics

• Story Telling The company, TIAA Global Capabilities, was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, and contribute to innovation with a focus on enhancing their technology stack. They are focused on building a scalable and sustainable organization with a focus on technology, operations, and expanding into the shared services business space. Working closely with U.S. colleagues and other partners, the goal is to reduce risk, improve efficiency of technology and processes, and develop innovative ideas to increase throughput and productivity. Their values include Champion Our People, Be Client Obsessed, Lead with Integrity, Own It, and Win As One, influencing every decision made and how they work together to serve clients every day. The company thrives in a collaborative in-office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. They aim to create a lasting impact by fostering growth through meaningful learning experiences and development pathways for every associate. As a Data Analytics Associate at the company, your role involves reviewing and approving complex analytics and statistical modeling on large data sets to identify current market sector trends and customer patterns. You will be responsible for directing the examination and identification of data patterns and trends that help answer business questions and improve decision-making. Additionally, you will oversee the collection of data sources, analysis, and extraction of key data and information to ensure data quality meets the organization's information system needs and requirements. Key Responsibilities and Duties:

• Approve mathematical, statistical, and economic techniques to determine market conditions, project consumer needs, and inform business initiatives. - Analyze and review trends found from modeling to inform other lines of business such as product development and marketing decisions. - Oversee data mining models, statistical reporting, and data analysis methodologies to identify key customer segments and simulate the impact of potential business decisions. - Develop and present detailed reports and conclusions for business, finance, and investment management based on data summaries. - Partner with other areas of the business to model the outcome of implementing potential business strategies. - Manage large, complex projects or processes with limited oversight while ensuring accurate findings and results are achieved. Educational Requirements:

• University (Degree) Preferred

Work Experience:

• 3+ Years Required; 5+ Years Preferred

Physical Requirements:

• Sedentary Work

Related Skills:

• Collaboration
• Continuous Improvement Mindset
• Data-Driven Business Intelligence
• Data Engineering/Analytics
• Data Visualization
• Predictive Modeling
• Problem Solving
• Programming
• Resourcefulness
• Statistics
• Story Telling