layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - 2027 Early Talent Internship: TIAA Enterprise Analytics at TIAA

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.
Additional key roles and duties may include: 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
Preferred Skills
Preferred Majors: Statistics, Data Science, Mathematics, Computer Science, Economics, Finance, Business Analytics, Industrial Engineering, or related quantitative fields
Technical Skills: 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
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
Additional 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.
Related Skills
Accountability, Adaptability, Business Acumen, Collaboration, Communication, Consultative Communication, Data Analysis, Influence, Market/Industry Dynamics, Problem Solving, Relationship Management
Anticipated Posting End Date: 2026-10-23

2027 Early Talent Internship: TIAA Enterprise Analytics

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