Associate, Data Analyst

Associate Data Analytics
The Data Analytics Associate reviews and approves complex analytics and statistical modeling on large data sets that identify current market sector trends and customer patterns. This job directs the examination and identification of data patterns and trends that help answer business questions and improve decision-making. The Data Analytics Associate oversees the collection of data sources, as well as the analysis and extraction of key data and information. This job also ensures that data quality meets the organization's information system needs and requirements.

Key Responsibilities and Duties

• Approves mathematical, statistical, and economic techniques that determine market conditions, project consumer needs and inform business initiatives.
• Analyzes and reviews trends found from modelling to inform other lines of business such as product development and marketing decisions.
• Oversees data mining models, statistical reporting and data analysis methodologies to identify key customer segments and to simulate impact of potential business decisions.
• Develops and presents detailed reports and conclusions for business, finance, and investment management based on data summaries.
• Partners with other areas of the business to model outcome of implementing potential business strategies.
• Manages large, complex projects or processes with limited oversight while working with other team members to ensure accurate findings and results.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 2+ Years Required; 3+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
6IC

An individual with more than 5 years of experience in a data analytics role with following abilities
•    Proficiency in tools like MS Excel, SQL, Snowflake/Redshift, Alteryx and creating effective data visualizations using Tableau/Power BI.
•    Attention to Detail for Quality
•    Acumen for solving business problems using analytics and coming up with reusable codes/products.
•    Proficient enough to understand and create data models (DWH)
•    Understanding of the US Retirement/ Financial Domain which helps in context driven analysis.
•    Excellent verbal and written communication skills 
•    Good to have. 
    knowledge of Python/R or any other scripting languages
    Power Apps

Related Skills

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

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Company Overview

TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.

 
Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.

Accessibility Support

TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities.

If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team: 

Phone: (800) 842-2755

Email: accessibility.support@tiaa.org

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