Highmark22.02.26
AI SCORE 7.5

Summer 2026 Data Analytics Graduate Intern - Remote

$30K–$40K/year

About the Role

We are excited to announce an opportunity for a Summer 2026 Data Analytics Graduate Intern - Remote at Highmark. This role is designed for graduate students who are eager to gain hands-on experience in the field of data analytics, particularly in healthcare. As a Data Analytics Graduate Intern, you will work closely with Senior Data Scientists to support Highmark's Fraud, Waste, and Abuse identification efforts through the analysis of complex healthcare claims data. This internship will provide you with valuable insights into the healthcare analytics field while allowing you to develop your analytical skills.

What You'll Do

  • Collaborate with senior team members on fraud detection initiatives.
  • Develop and optimize SQL queries to extract data from databases.
  • Analyze large datasets to identify patterns and anomalies.
  • Utilize statistical methods and machine learning algorithms to enhance fraud detection.
  • Assist in developing analytical models for fraud detection.
  • Prepare and present findings to stakeholders effectively.
  • Gain practical experience in the healthcare analytics field.
  • Receive training and mentoring from senior personnel.
  • Participate in projects to develop professional skills.
  • Adhere to ethical and legal standards in data handling.

Requirements

  • Bachelor’s degree required; pursuing a graduate degree in an accredited institution.
  • Experience analyzing large datasets preferred.
  • Effective communication skills are essential.
  • Ability to work under supervision and collaborate with teams.
  • Interest in healthcare and fraud detection analytics.

Nice to Have

  • Familiarity with data visualization tools.
  • Knowledge of programming languages such as Python or R.
  • Previous internship experience in data analytics.

What We Offer

  • Hands-on training in data analytics.
  • Exposure to various career opportunities in the field.
  • Mentorship from experienced professionals.
  • Opportunity to work on meaningful projects.
  • Networking opportunities within the organization.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job7.5 of 10

This internship offers a unique opportunity for graduate students to gain practical experience in data analytics within the healthcare sector. Highmark provides mentorship and hands-on training, making it an attractive position for aspiring data analysts.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in SQL and Python with a strong foundation in statistical methods, enabling effective data extraction and analysis for healthcare-related datasets.

Self-motivated and disciplined to excel in a fully remote work environment, demonstrating the ability to manage time effectively and meet project deadlines without direct supervision.

Eager to learn and apply machine learning techniques and data visualization tools, such as Tableau or Matplotlib, to enhance data-driven decision-making processes in healthcare analytics.

Learning Resources

SQL for Data Sciencecourse

Career Path

Summer 2026 Data Analytics Graduate Intern(Now)Data Analyst(1-2 years)Senior Data Scientist(3-5 years)

Market Overview

Market Size 2024
$15.9B
Annual Growth
11.5%
AI Adoption in Data Analytics
45%
Investment in Data Analytics Tools
+25%
Labour Demand for Data Analysts
+30%
Avg Salary for Data Analysts
$85K

Skills & Requirements

Required
SQLData AnalysisMachine Learning
Growing in Demand
Data EngineeringCloud Computing (AWS, Azure)Advanced Machine Learning
Declining
Excel for Data AnalysisTraditional Reporting Tools

Domain Trends

Increased Automation in Data Processing
By 2025, it is estimated that 60% of data analysis tasks will be automated, allowing analysts to focus on higher-level insights.
Rise of No-Code/Low-Code Analytics Platforms
No-code platforms are expected to grow by 35% in 2024, enabling non-technical users to perform data analysis without extensive SQL knowledge.
Integration of AI in Data Visualization
AI-driven tools for data visualization are projected to increase by 40% in usage, providing more intuitive insights and real-time data representation.

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