• Data Science Intern

    Job Locations US-MA-Cambridge
    Category
    Advisory - Data
  • Overview

    Fuel your intellectual curiosity and professional growth. Forrester is an idea company where smart, motivated, curious people bring a diversity of opinions and the courage of their convictions to collaborate on ideas that change the course of business. Most of all, bring a point of view; here, every voice has value. At Forrester, you’ll work with innovative clients at emerging and established brands; these are the business and technology leaders we inspire and who inspire us. 

    About This Role:

    The Customer Experience Index (CX Index™) product team supports our clients with the most complete and powerful proprietary CX tool in the market today. The CX Index evaluates nearly 600 brands across 16 industries in North America, Europe, and Asia. It gives our clients a deep and actionable understanding of the quality of their customer experience; competitive benchmark data so that our clients know how they stack up against their peers; and the ability to model which improvements will have the biggest impact on our clients’ revenue.

     

    The Data Science Intern is a key member of the CX Index product team. Using survey-based transactional, operational, and behavioral data, you will perform data analysis to drive insights. We’re looking for a candidate who can help create cohesive stories based on clear and persuasive analysis.

    Responsibilities

    • Support the analytics work of the CX Index product team using statistical techniques, including descriptive analysis, correlation, and linear regression. Knowledge of or experience with other statistical methods is a plus (e.g., factor and cluster analysis, time series analysis, or machine learning).
    • Work with the CX Index team to develop an appropriate set of analyses and data insights to address clients’ customer experience needs.
    • Explain basic and more advanced analytic techniques to internal colleagues in a clear, persuasive way.
    • Support production of deliverables such as PowerPoint presentations and Excel documents.

    Qualifications

    • A strong academic record in statistics or mathematics, psychology, sociology, or economics.
    • Demonstrated knowledge of and experience with statistical analysis, especially linear regression modeling; ability to do (or knowledge of) factor and cluster analysis or other statistical modeling is a plus.
    • Experience using statistical packages (R or Python), preferably R.
    • Demonstrated ability to articulate analytic results to a nonquantitative audience.
    • Willingness to learn new and enthusiasm to stay updated on the latest analytical techniques.
    • Experience working with survey data is a plus.
    • An understanding of consumer behaviors through related studies like psychology, marketing, economics, sociology, or anthropology or through work experience.
    • Keen attention to detail and high personal standards for quality and thoroughness.
    • Excellent listening, critical thinking, and writing skills.
    • The ability to multitask and work with a team under tight deadlines.
    • Self-reliance and cooperation as part of a global research team.

    Explore #ForresterLife on:

    YouTube

    Twitter

    Facebook

    Instagram

    LinkedIn

    Glassdoor

     

    FLSA Status:

    Exempt

     

    Forrester Research, Inc. is an Equal Opportunity/Affirmative Action Employer that is committed to equal employment opportunity for all qualified individuals without regard to race, color, religion, national origin, ancestry, sex, age, disability, sexual orientation, gender identity and expression, marital status, genetic information, military service, veteran status, or any other status protected by applicable law. Minorities, Women, Individuals with Disabilities, and Veterans are especially encouraged to apply.

    Options

    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed

    Need help finding the right job?

    We can recommend jobs specifically for you! Click here to get started.