Data Analytics Intern — Remote, Data Quality & SQL

CareSource; United States; Hybrid; USD 41,000 - 66,000; Part time

Benefits offered by this job

Mentorship program

Paid internship

Networking with leaders

Flexible work options

Job summary

CareSource offers a 12-week paid summer internship program for college students. The Intern supports data-related projects, analyses, and process improvements while gaining real-world experience and mentorship within a collaborative team environment.

The role emphasizes data integrity, routine data quality checks, and the use of SQL and Python to automate tasks and improve efficiency. Flexible on-site, hybrid, and remote options are available, with development opportunities and networking

Qualifications

• Proficiency in analyzing datasets to ensure data integrity and quality across processes.
• Ability to perform root-cause analysis on data quality issues and assist with cleanup and improvements.
• Able to query, validate, and analyze data using SQL; identify trends and gaps.

Responsibilities

• Support data integrity, accuracy, and quality initiatives by analyzing datasets and identifying anomalies.
• Conduct root-cause analysis on data quality issues and assist with data cleanup and process-improvement projects.
• Use SQL and other analytical techniques to query, validate, and analyze data, identifying trends, gaps, and opportunities to improve data accuracy.
• Apply Python and automation techniques to streamline data analysis and reduce manual processes.

Skills

MS Office

Written communication

Verbal communication

Teamwork

Attention to detail

Problem solving

Confidentiality

Independent work

Fast-paced work

Education

High School Diploma or equivalent

Rising Junior or Senior in accredited degree program or graduated within 6 months

Tools

SQL

Python

Job description

CareSource offers a 12-week paid summer internship program for college students. The Intern supports data-related projects, analyses, and process improvements while gaining real-world experience and mentorship within a collaborative team environment.

The role emphasizes data integrity, routine data quality checks, and the use of SQL and Python to automate tasks and improve efficiency. Flexible on-site, hybrid, and remote options are available, with development opportunities and networking