Business Analytics and Data Science Specialist
6 days ago
Job Opportunity at Northwestern Mutual Life Insurance
Company Overview:
Northwestern Mutual is a strong, innovative, and growing organization that invests in its people. We care about making a positive difference in the lives of our clients and associates.
Estimated Salary:
$85,000 - $100,000 per annum based on location (Milwaukee, WI, Franklin, WI, or New York City, NY)
Job Description:
We are seeking highly motivated interns to join our Core Data & Analytics function as Business Analytics and Data Science Specialists. As part of this team, you will work closely with your hiring manager, mentor, and colleagues to complete tasks critical for Northwestern Mutual's success.
Responsibilities:
- Participate in a team that delivers quantitative and qualitative data analysis, applying sophisticated statistical, mathematical, data mining, predictive modeling, and business analysis techniques.
- Develop and deliver information solutions by testing hypotheses and analyzing test results, providing vital analytical insights to ensure data quality, consistency, repeatability, and accuracy.
- Support workstreams develop data-driven solutions by tying quantitative measures to key business issues, deriving insights from data and using visualizations to answer key business questions.
Required Skills and Qualifications:
- Pursuing a bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Software Engineering, Computer Engineering, Information Technology, or related field from an accredited college or university.
- Cumulative grade point average of 3.0 or higher.
- Previous work or classroom experience in one or more of the following: SQL, R, Java, Python, Tableau, Power BI, and other data & visualization tools.
Benefits:
This is a full-time onsite 10-week summer internship program. Relocating interns eligible for travel and housing reimbursement. Gain exposure to real-world business perspectives through hands-on learning and meaningful work. Participate in professional development workshops, Q&A sessions, volunteer initiatives, and networking events.
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