Sr. Data Analytics Manager

Sr Data Analytics Manager

The Sr Data Analytics Manager manages a team of experienced professionals that performs difficult and complex analytics and statistical modeling on large data sets to identify current market sector trends and customer patterns. This job oversees the examination and identification of data patterns and trends that help answer business questions and improve decision-making. This job also makes recommendations that address unique opportunities, needs, and challenges, ranging from strategic decisions to building operational analytics products that directly drive the customer experience.

Key Responsibilities and Duties

• Oversees mathematical, statistical, and economic techniques that determine market conditions, project consumer needs and inform business initiatives.

• Monitors trends found from modeling to inform other lines of business such as product development and marketing decisions.

• Facilitates research, development and implementation of new and emerging analytics technologies and identifies technology-based business opportunities.

• Reviews detailed reports and conclusions for business, finance, and investment management based on data summaries.

• Develops mechanisms for ensuring that information provided is accurate, meaningful, has integrity, and caters to the needs of the decision makers.

• Analyzes trends identified in data modeling to inform other lines of business such as product development and marketing decisions.

• Manages, coaches, directs, assesses performance, and coordinates with direct reports to facilitate execution of the business’ strategies and objectives.

• Develops and presents detailed reports and conclusions for business, finance, and investment management based on data summaries.

• Approves mathematical, statistical, and economic techniques that determine market conditions, project consumer needs and inform business initiatives.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 5+ Years Required; 7+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
9PL

Related Skills

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

Anticipated Posting End Date:

2025-04-04

Base Pay Range: $138,800/yr. - $201,000/yr.

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location.  In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans). 

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Company Overview

Every worker deserves a secure retirement. For more than 100 years, TIAA has delivered it for millions of people. Founded to help educators retire with dignity, today weʼre a market-leading retirement company fueled by world-class asset management. But weʼre not just another legacy financial services firm. Weʼre fighting harder than ever before for our clients and the many Americans who need us.

Benefits and Total Rewards

The organization is committed to making financial well-being possible for its clients, and is equally committed to the well-being of our associates. That’s why we offer a comprehensive Total Rewards package designed to make a positive difference in the lives of our associates and their loved ones. Our benefits include a superior retirement program and highly competitive health, wellness and work life offerings that can help you achieve and maintain your best possible physical, emotional and financial well-being. To learn more about your benefits, please review our Benefits Summary.

Equal Opportunity

We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion