Data & Analytics Intern

Note : Applicants outside of US will not be considered.
Only these majors will e considered: Business, Accounting, Finance, Financial, Marketing, Economics, Advertising, Communication, Sales, Actuarial, Management Information Systems, Risk Management, Human Resources, Accountancy, ⁠Management, ⁠Media Studies, Applied Mathematics, Mathematics, Public Relations, Management Consulting, Organization and Management, Mathematical Statistics, Mathematics and Statistics, ⁠Quantitative Science
Internship Summary:
The role focuses on data analytics, data analysis, and data science. As a Data and Analytics Intern at the company., you will partner with the company Data and Analytics team to work on various ongoing and new initiatives across Data Engineering, Reporting, Data Analytics and Machine Learning. The internship takes place in Spring 2027.
Responsibilities:
Data Visualization & Reporting: Assist in designing, developing, and maintaining interactive dashboards and reports using tools like SAP Business Objects, Power BI.
Data Exploration & Analysis: Perform exploratory data analysis (EDA) to identify trends, anomalies, and key performance patterns that help solve business problems.
Data Cleaning & Preparation: Support data engineering efforts by cleaning, transforming, and validating raw data datasets using SQL or Python/R.
Stakeholder Collaboration: Partner with cross-functional teams (Marketing, Finance, Product, Operations) to gather requirements and translate business questions into data requirements.
Documentation: Maintain and update data dictionaries, documentation for internal metrics, and standard operating procedures for reporting.
Required Qualifications:
Currently pursuing or recently graduated with a Bachelor’s or Master’s degree in Data Analytics, Computer Science, Information Systems, or a related quantitative field.
Strong foundational knowledge of SQL (joining tables, writing queries).
Familiarity with programming languages like Python or R for data manipulation (pandas, numpy).
Basic experience with BI tools (Power BI, Tableau, or similar).
Proficiency in Microsoft Excel (VLOOKUPs, Pivot Tables).
Strong problem-solving abilities and a highly analytical mindset.
Excellent written and verbal communication skills to present complex data findings simply.
Ability to work both independently and collaboratively within a fast-paced team.
High attention to detail and data integrity.
Compensation:
The compensation for this role is $26.00–$37.00 per hour.
Procedure:
We are an HR consultancy firm, and we help candidates match with the potential roles by using an Artificial Intelligence System which is free of cost. If you meet the eligibility criteria, please apply and our recruitment team will help you understand your strengths and strategize your career ahead. We can let you know better once you submit your resume.

Work arrangement
Yes