About the Company
Nationwide, a Fortune 100 company based in Columbus, Ohio, is one of the largest and strongest diversified insurance and financial services organizations in the U.S. and is rated A+ by both A.M. Best and Standard & Poor’s. We are committed to protecting people, businesses and futures with extraordinary care. Our culture fosters innovation, collaboration, and a dedication to leveraging data to drive strategic decisions and enhance customer experiences.
Job Description
Join Nationwide as a Data Analytics Intern and embark on a rewarding journey within our dynamic data and analytics team. This paid internship offers a unique opportunity for aspiring data professionals to gain hands-on experience in a real-world corporate environment. You will support key data initiatives, contribute to data-driven insights, and work alongside experienced professionals, all while developing your analytical skills. This role is designed for individuals eager to learn, requiring no prior professional data analytics experience, and will provide foundational training in data collection, analysis, and visualization.
Key Responsibilities
- Assist in the collection, cleaning, and preparation of various datasets for analysis.
- Perform basic descriptive data analysis and contribute to interpreting trends and patterns.
- Support the creation of reports, dashboards, and data visualizations to communicate insights effectively.
- Collaborate with data analysts and business stakeholders on assigned projects.
- Learn and apply new data analytics tools and methodologies under guidance.
- Document processes, findings, and data definitions for internal knowledge sharing.
- Contribute to continuous improvement initiatives within the data analytics function.
Required Skills
- Strong analytical and problem-solving abilities.
- Proficiency with Microsoft Office Suite, particularly Excel.
- Excellent written and verbal communication skills.
- Demonstrated eagerness and aptitude for learning new technologies and concepts.
- Ability to work effectively both independently and as part of a team.
- Currently enrolled in or recently graduated from a Bachelor's or Master's program (or equivalent) in a quantitative field such as Data Science, Statistics, Computer Science, Economics, Mathematics, or Business Analytics.
Preferred Qualifications
- Basic understanding of statistical concepts.
- Familiarity with programming languages like Python or R (even through coursework or personal projects).
- Exposure to SQL for data querying.
- Experience with data visualization tools such as Tableau, Power BI, or similar (e.g., through academic projects).
- Previous experience with data manipulation or analysis in academic settings.
Perks & Benefits
- Competitive hourly pay.
- Mentorship from experienced data professionals.
- Opportunities for professional development and learning.
- Exposure to cutting-edge data technologies and practices.
- Networking opportunities within a large, established financial services company.
- Hybrid work model for flexibility and work-life balance.
- Potential for future full-time employment.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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