2027 Early Talent Internship: TIAA Enterprise Analytics

TIAA•Charlotte, NC

4d•$22 - $30•Onsite

About The Position

This is a 10-week summer internship program designed to challenge students by providing hands-on experience, skills training, and professional networking opportunities to help them identify and build on their career interests. Interns gain exposure to the company and financial services industry by attending meetings, delivering presentations, working on business-specific tasks, and collaborating closely with cross-functional groups to better understand TIAA and Nuveen's businesses. The program includes an onboarding process followed by an ongoing speaker series, lunch-and-learns, and engagement activities, along with direct access to executive and senior leadership, mentors, and previous interns. Throughout the program, participants engage in a structured professional development curriculum featuring comprehensive training modules, executive speaker series, educational workshops, mentorship programs, and cohort-based learning experiences. This position also provides exposure to key business divisions, including 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, and Wealth Management. Your summer at the intersection of strategy, data, and insights – working directly alongside the teams that are shaping how millions of Americans build financial security. Welcome to the TIAA Enterprise Analytics Summer Internship, where real projects, real mentorship, and real momentum come together in one transformative 10-week experience. You'll be immersed in a curriculum built to accelerate your growth from day one: Executive Speaker Series — Hear directly from the leaders driving strategy across TIAA's Wealth Management business. Hands-On Training Modules — Build real, transferable skills in financial services. Cohort-Based Learning — Grow alongside a talented community of peers who will become your professional network for years to come. Dedicated Mentorship — Work side-by-side with experienced professionals invested in your development. Specialized Workshops — Sharpen the technical and strategic skills that set top performers apart. The Retirement Strategy & TIAA Enterprise Analytics (RS & TEA) team leverages data-driven insights to solve complex business problems and drive strategic decision-making across TIAA. Its mission is to transform raw data into actionable intelligence that enhances customer experiences, optimizes business operations, and supports evidence-based strategic initiatives. Interns will spend strategically aligned analytics and strategy projects. Opportunities include: Business Intelligence & Reporting – developing dashboards, automated reports, and data visualizations that provide stakeholders with real-time business insights. Predictive Analytics & Machine Learning – building statistical models and algorithms to forecast trends, identify patterns, and support predictive decision-making. Data Engineering & Management – working with data pipelines, ensuring data quality, and supporting infrastructure that enables advanced analytics. Client Analytics & Insights – analyzing client behavior, preferences, and journeys to drive personalization and improve client satisfaction. Retirement Strategy & Execution – supporting long-term Retirement Solutions planning, translating enterprise priorities into executable programs, roadmaps, governance routines, and measurable outcomes across the three Retirement pillars. TRAC Strategy & Consultant Support – supporting enterprise B2C strategy, consultant and distribution priorities, participant experience initiatives, and pilots or test-and-learn efforts that inform the strategic evolution of the business. Summer Associates will work on strategically aligned analytics and strategy projects. They will collaborate with data scientists, business analysts, and cross-functional partners while building technical expertise in data analysis, statistical modeling, business intelligence, and evidence-based decision-making.

Requirements

Current enrolled in a degree-seeking program with expected graduation date between December 2027– June 2028
Minimum GPA of 3.0
Must have authorization to work in the U.S., and not require current or future work visa sponsorship to retain authorization to work in the U.S.

Nice To Haves

Preferred Majors: Statistics, Data Science, Mathematics, Computer Science, Economics, Finance, Business Analytics, Industrial Engineering, or related quantitative fields
SQL – writes basic to intermediate queries for data extraction and manipulation
Programming – uses basic Python or R scripting for data analysis and automation
Statistics – applies descriptive statistics and exploratory techniques to analyze patterns and trends
BI and productivity tools – creates accurate visualizations using Tableau, Power BI, Excel, or similar platforms
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

Responsibilities

Support high-impact business initiatives by contributing to meaningful 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 that inform key business decision-making
Support a variety of projects by helping to 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 that advances business objectives
Immerse yourself in professional development opportunities through exclusive access to executive speaker series, specialized training programs, and networking events designed to accelerate your career trajectory
Explore diverse career pathways by working alongside professionals across multiple departments and gaining hands-on experience in various business functions
Build comprehensive industry expertise while developing deep knowledge of TIAA's culture, values, and position within the financial services landscape
Gathering, cleaning, validating, and analyzing data to answer business questions and support client and participant outcomes
Building and enhancing dashboards, recurring reports, data visualizations, and analytical tools using SQL, Python/R, Excel, and BI platforms
Applying descriptive statistics and exploratory analysis to identify trends, patterns, performance drivers, and improvement opportunities
Documenting data sources, metric definitions, analytical methods, assumptions, and quality checks to improve consistency and trust in results
Translating analytical findings into clear business insights, recommendations, and presentation materials for technical and nontechnical audiences
Supporting predictive modeling, experimentation, and pilot measurement by defining hypotheses, performance indicators, and evaluation approaches
Collaborating with analytics, product, distribution, operations, digital, marketing, advice, and wealth partners to clarify requirements and deliver actionable analyses
Supporting Retirement Solutions and TRAC five-year planning through targeted market research, competitive intelligence, client insights, and analytics-backed prioritization
Contributing to strategy roadmaps, governance materials, executive updates, and tracking of milestones, dependencies, risks, decisions, and outcomes
Participating in professional development, networking, and exposure to analytical career pathways across the enterprise