2027 Early Talent Internship

About the Role

The TIAA Enterprise Analytics Summer Internship is a 10-week program designed to provide students with hands-on experience, skills training, and professional networking opportunities in the field of data analytics and strategy within the financial services industry.

Key Responsibilities

• Support high-impact business initiatives by contributing to projects that directly support business objectives and client outcomes.
• Collaborate on strategic presentations and research projects, contributing to PowerPoint and Excel deliverables and analytical materials.
• Coordinate project materials and meetings to ensure seamless information flow across teams.
• Drive independent research initiatives to gather market intelligence, competitive analysis, and supporting documentation.
• Participate in professional development opportunities, including executive speaker series, specialized training programs, and networking events.
• Explore diverse career pathways by working alongside professionals across multiple departments.
• Develop industry expertise and knowledge of TIAA's culture, values, and position in the financial services landscape.
• Gather, clean, validate, and analyze data to answer business questions and support client and participant outcomes.
• Build and enhance dashboards, recurring reports, data visualizations, and analytical tools using SQL, Python/R, Excel, and BI platforms.
• Apply descriptive statistics and exploratory analysis to identify trends, patterns, performance drivers, and improvement opportunities.
• Document data sources, metric definitions, analytical methods, assumptions, and quality checks.
• Translate analytical findings into clear business insights, recommendations, and presentation materials.
• Support predictive modeling, experimentation, and pilot measurement by defining hypotheses, performance indicators, and evaluation approaches.
• Collaborate with analytics, product, distribution, operations, digital, marketing, advice, and wealth partners to clarify requirements and deliver actionable analyses.
• Support Retirement Solutions and TRAC five-year planning through market research, competitive intelligence, client insights, and analytics-backed prioritization.
• Contribute to strategy roadmaps, governance materials, executive updates, and tracking of milestones, dependencies, risks, decisions, and outcomes.

Analytics Team Focus Opportunities

• Business Intelligence & Reporting: Developing dashboards, automated reports, and data visualizations.
• Predictive Analytics & Machine Learning: Building statistical models and algorithms.
• Data Engineering & Management: Working with data pipelines and ensuring data quality.
• Client Analytics & Insights: Analyzing client behavior, preferences, and journeys.
• Retirement Strategy & Execution: Supporting long-term Retirement Solutions planning.
• TRAC Strategy & Consultant Support: Supporting enterprise B2C strategy and participant experience initiatives.

Requirements & Tech Stack

• SQL (basic to intermediate queries for data extraction and manipulation)
• Python or R scripting (basic for data analysis and automation)
• Statistics (descriptive statistics and exploratory techniques)
• BI and productivity tools (e.g., Tableau, Power BI, Excel)

Qualifications

• Currently enrolled in a degree-seeking program with an expected graduation date between December 2027– June 2028.
• Minimum GPA of 3.0.
• Authorization to work in the U.S. without requiring current or future work visa sponsorship.

Preferred Majors

• Statistics
• Data Science
• Mathematics
• Computer Science
• Economics
• Finance
• Business Analytics
• Industrial Engineering
• Related quantitative fields

Core Competencies

• Problem-solving, curiosity, and attention to detail.
• Clear written and verbal communication with technical and nontechnical audiences.
• Ability to organize multiple assignments, meet deadlines, and follow through on commitments.
• Collaborative mindset and willingness to learn in a cross-functional environment.
• Interest in financial services, analytics, business intelligence, and responsible uses of emerging technology.

Program Features

• Comprehensive training modules.
• Executive speaker series.
• Educational workshops.
• Mentorship programs.
• Cohort-based learning experiences.

Exposure to Key Business Divisions

• Actuarial Services
• Asset Management
• Business Management
• Corporate Strategy and Development
• Financial Analysis and Accounting
• Human Resources
• Internal Audit
• Law and Policy
• Marketing and Communications
• Product and Business Development
• Retirement Solutions
• Risk and Compliance
• Technology
• Wealth Management