This is a Non-Employee Contingent Worker Role providing services for TIAA's family of companies and will be employed by TIAA's preferred 3rd Party Supplier. As a Non-Employee CW, perform a variety of moderately complex business planning, support, and project-related duties. Demonstrates an exceptional standard of quality and holds themselves accountable to achieving excellent results.
This role will sit onsite, likely in a hybrid capacity, at the location(s) listed in this posting.
The anticipated term of this engagement will be 24 months. This term could be extended based on company business needs.
CW-Senior Data AnalystThe Senior Data Analyst performs complex analytics and statistical modeling on large data sets that identify current market sector trends and customer patterns. This job is responsible for examining and identifying data patterns and trends that help answer business questions and improve decision-making. Under limited supervision, the Senior Data Analyst job is responsible for collecting data sources, analyzing and extracting key data and information. This job also evaluates and monitors data quality to meet the organization's information system needs and requirements.
Key Responsibilities and Duties- Applies mathematical, statistical, and economic techniques that determine market conditions, project consumer needs and inform business initiatives.
- Utilizes trends found from modelling to inform other lines of business such as product development and marketing decisions.
- Creates data mining models, statistical reporting and data analysis methodologies to identify key customer segments and to simulate impact of potential future business decisions.
- Participates in development of detailed reports and conclusions for business, finance, and investment management based on data summaries.
- Identifies areas of opportunity and risk through data analysis and modelling.
- Provides information for additional research and analysis in line with statistical methodology.
- Partners with other areas of the business to model the potential outcomes of implementing various business strategies.
Educational Requirements- Bachelor's Degree Required
Work Experience- 3 Years Required; 5 Years Preferred
Physical Requirements- Physical Requirements: Sedentary Work
Career Level 7IC
Position OverviewThe TIAA Institute seeks a Postdoctoral Research Fellow to join our research team for a term of two years. The Fellow will conduct research focused on topical areas within household finance and retirement financial security. This position offers an exceptional opportunity to conduct original research with high-value practical relevance with Institute economists and external academic research partners. Anticipated start date is flexible but as early as March 2026.
Key ResponsibilitiesThe Fellow will be involved in all stages of the team-based research process. Primary responsibilities include designing and implementing survey instruments, developing sampling strategies, linking survey and administrative data, and conducting statistical analysis. Another aspect of the role is writing and presenting results from both a technical and non-technical perspective.
Required Qualifications- PhD in Economics, Finance, or closely related field (or demonstrated to be near completion)
- Expertise in survey methodology and survey sampling techniques
- Experience working with large data sets
- Strong programming skills for data extraction, manipulation, and analysis (i.e. SQL, SAS, Python, or similar).
- Expertise in statistical software such as Stata, R, or Python for econometric analysis
Preferred Qualifications- Research experience in household finance, retirement security, financial planning, or longevity
- Familiarity with longitudinal data analysis methods
- Ability to communicate research findings to diverse audiences
Start Date: 02-Mar-2026
End Date: 02-Mar-2028
Travel Required: Yes
Anticipated Posting End Date:2026-02-05
Base Pay Range: $37.84/hr - $60.10/hr
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.
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