FAQs
What will I be working on as a Data and Analytics Intern?
As a Data and Analytics Intern, you will focus on data quality, visualization, and data architecture. Your tasks will include monitoring datasets, optimizing Tableau dashboards, proposing improvements to data organization, and collaborating with various teams across the company.
What qualifications do I need to apply for this internship?
You should be currently pursuing a Bachelor's degree in Analytics, Data Science, Computer Science, or a related field. Strong communication skills, attention to detail, and familiarity with SQL and Tableau are also required. Experience with Excel is a bonus.
Will I receive training during the internship?
Yes, Nasuni provides best-in-class employee onboarding and training to ensure you have the necessary skills and knowledge for the role.
What tools and technologies will I be using in this role?
You will be using tools like SQL, Tableau, Snowflake, and Metaplane to support various data initiatives.
What kind of team will I be working with?
You will work collaboratively with cross-functional teams including RevOps, Sales, Product, Engineering, CX, and Customer Support, gaining insights into different business functions.
Is there a possibility for future employment after the internship?
While future employment is not guaranteed, internships at Nasuni are designed to provide valuable experience and networking opportunities that can lead to potential job offers in the future.
What benefits do interns receive?
Interns enjoy comprehensive benefits packages, which may include professional development resources, flexible remote work policies, access to on-site fitness centers, and participation in team culture and social activities.
Is there an option to work remotely during the internship?
Yes, Nasuni offers a flexible remote work policy, allowing you to work in a hybrid format.
How can I ensure that my application stands out?
Highlight any relevant coursework, experience using data tools such as SQL and Tableau, and showcase your passion for data analysis and problem-solving in your application.