Spectrum | 2023 Summer Intern: Business Intelligence Analytics | Stamford, CT | United States | BigDataKB.com | 2023-02-01

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Job Location: Stamford, CT

Job Detail:

At a Glance

  • You’re a motivated Master student with a 3.0 GPA or higher seeking a degree in one of the following areas listed below from an accredited college or university:
    • MS Business Analytics, MS Data Science
    • This is a learning-intensive program designed to give you essential business insights and hands-on experience in your field of choice. It’s a full-time, 10-week commitment from May 31, 2023 through August 4, 2023.
    • Benefits include professional development sessions, networking opportunities, and mentorship.

    The Spectrum Internship Experience

    You have clear aspirations and are seeking a summer internship program that will help you meet them. Find it at Spectrum, named one of the 2022 Top 100 Internship Programs in the United States by WayUp and Yello.

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    Our internships are designed to provide:

    • Opportunities to gain new skills and elevate the ones you already have, all in a robust and forward-thinking business setting.
    • First-rate, hands-on experience in the telecommunications industry.
    • Opportunities to connect you with people who can give you a better understanding of the industry and help you accomplish real goals you can add to your résumé, this includes assigning you a formal mentor and interactions with senior executives.

    What You Can Expect In This Role

    As a Spectrum Intern, you’ll be essential to two teams — your respective department and your Intern peer group. Department and team-focused projects account for about 80% of your schedule. You’ll spend the other 20% on professional development sessions and networking activities, including the Kickoff Conference on May 31st, webinars, community service, cross-functional project, and final presentations.

    Internship responsibilities may include

  • BI Analytics Projects.
  • Research and development of new tools and techniques to apply within existing workflow(s)
    • Design and development of data visualizations tools
    • Research and applications of interpretable machine learning methods
    • Geospatial analytical techniques and tools
  • Ad-hoc analytics requests
    • Profiling new data sources
    • Using data analysis to answer pressing business questions
  • Presenting analytical findings / making data-driven recommendations
  • Active participation in learning about the team and how it fits into the company
    • Develop understanding of common data sources, tools, etc.
    • Develop understanding of organizational structure, relationships, responsibilities, etc.

Required Qualifications

Here’s what it takes to get started

  • Must be currently enrolled in an accredited College or University completing a Bachelor’s Degree or Advanced Degree
  • Must have at least a 3.0 GPA or greater in current program
  • Ability to travel locally to Spectrum Intern development events and activities throughout the program
  • Authorization to work in the U.S. without restrictions or need for future sponsorship
  • Hands-on experience with intermediate SQL, and one of either R or Python in a data science / analytics context.
  • Ability to translate business needs into technical requirements.
  • Basic understanding of statistical and predictive modeling concepts.
  • Hands-on experience with analyzing large and complex data sets to provide valuable insights and findings.
  • Experience with preparing data for visualization and reporting using Excel, PowerPoint or Tableau.
  • Hands-on experience with building machine learning models – regression, XGBoost, decision trees etc.
  • Basic knowledge of interpretable machine learning techniques, including regression, XGBoost, partial dependencies, SHAP scores, etc.
  • Experience in writing and speaking about technical concepts and giving data-driven presentations to business and technical audiences.

Preferred qualifications

  • Ability to travel locally to Spectrum Intern development events and activities throughout the program
  • Analytical skills
  • Advanced Excel skills
  • Organizational skills
  • Oral and written skills
  • Problem solving skills
  • Project and time management skills
  • Proficiency in Microsoft Office: Word, Excel, PowerPoint, Access
  • Works well in a team environment
  • Works well independently
  • Advanced knowledge of interpretable machine learning techniques.
  • In-depth experience with preparing data for visualization and reporting using Excel, PowerPoint or Tableau.
  • In-depth experience with SQL, and one of either R or Python in a Data Science / Analytics context.
  • Basic knowledge of core project management competencies.
  • Strong willingness to learn about the team and organization.

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