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Advanced Analytics Intern Jobs (NOW HIRING)

The program is designed to support research and advanced development techniques for Artificial ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

AI Development Data Analytics Intern

Scottsdale, AZ · On-site

$15 - $20.25/hr

... intern will work closely with our Chief Strategy Officer and Chief Investment Officer to analyze ... Exposure to Microsoft 365 ecosystem, including Excel (advanced), SharePoint, and Power Platform.

... advanced analytics. HOPTEK is one of Kearney's major investments in harnessing the power of new ... Intern will work under the guidance of a senior tech lead. Internship at Hoptek could include a ...

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How much do advanced analytics intern jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for advanced analytics intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Advanced Analytics Intern, and why are they important?

To thrive as an Advanced Analytics Intern, you need strong analytical abilities, a solid understanding of statistics, and proficiency in data manipulation, often supported by coursework in mathematics, statistics, or computer science. Familiarity with tools and programming languages such as Python, R, SQL, and data visualization platforms like Tableau or Power BI is typically required. Effective problem-solving skills, attention to detail, and strong communication abilities help you interpret findings and share insights clearly with stakeholders. These skills ensure you can turn complex data into actionable recommendations, supporting data-driven decision-making within the organization.

What is the difference between Advanced Analytics Intern vs Data Analyst Intern?

AspectAdvanced Analytics InternData Analyst Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Statistics, or related fieldsSimilar educational background, often with focus on data analysis or business intelligence
Work EnvironmentInternships in tech companies, consulting firms, or finance sectors focusing on complex data modelingInternships in various industries analyzing data sets, creating reports, and supporting decision-making
Employer & Industry UsageUsed by organizations emphasizing predictive modeling, machine learning, and advanced data techniquesCommon across industries for routine data reporting and basic analysis tasks

While both roles involve working with data and require similar educational backgrounds, the Advanced Analytics Intern focuses on complex modeling and predictive analytics, whereas the Data Analyst Intern typically handles data reporting and basic analysis. The choice depends on the depth of technical skills and project complexity desired.

What does an Advanced Analytics Intern do?

An Advanced Analytics Intern typically assists in analyzing complex data sets to help organizations make informed business decisions. They use statistical tools, programming languages like Python or R, and data visualization techniques to identify trends, patterns, and insights. Interns may also help clean and prepare data, build predictive models, and present findings to stakeholders. Their work supports teams in areas such as marketing, finance, operations, or product development. The role is ideal for those interested in data science, statistics, and business analytics.

What types of projects can an Advanced Analytics Intern expect to work on, and how do these projects contribute to the overall goals of the team?

As an Advanced Analytics Intern, you can expect to work on projects such as data cleaning, exploratory data analysis, building predictive models, and developing dashboards or data visualizations. These projects often support business decision-making by uncovering trends, optimizing processes, or identifying new opportunities. You’ll typically collaborate with data scientists, business analysts, and stakeholders to deliver actionable insights. This hands-on experience not only sharpens your technical skills but also helps you understand how analytics drives value for the organization.
What cities are hiring for Advanced Analytics Intern jobs? Cities with the most Advanced Analytics Intern job openings:
What are the most commonly searched types of Advanced Analytics jobs? The most popular types of Advanced Analytics jobs are:
What states have the most Advanced Analytics Intern jobs? States with the most job openings for Advanced Analytics Intern jobs include:
Intern - Enterprise Analytics

Intern - Enterprise Analytics

Berkshire Hathaway Energy

Urbandale, IA • On-site

$15.75 - $20.50/hr

Part-time

Posted 12 days ago


Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

MidAmerican Energy Company is seeking a student pursuing a bachelor's degree program in data analytics, computer science, management information systems, mathematics, or related field of study. Enterprise Analytics interns will be exposed to a variety of projects and activities that occur within the energy industry. Interns will have the opportunity to apply their knowledge and skills learned through college and apply them to the workplace. The position is temporary, nonexempt, and full-time/hourly through the summer. 

Company and Internship Program Overview

MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory.

Interns will have the opportunity to participate in the annual three-day summer intern event in Des Moines, Iowa where they will have the opportunity to tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company. Other panels, lunch and learns, and events will be happening throughout the summer to give our interns the best experience.

MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

Must be a college student, sophomore, or higher standing, currently enrolled in a bachelor's degree program in data analytics, computer science, management information systems, mathematics, or related field of study. Must be available May-August 2026. Working knowledge of Microsoft Office and the Windows operating environment.

Primary Job Duties and Responsibilities

  • Identify partner teams' key problems, prototype solutions, and help solve business problems using statistical analysis, cloud technology and data science tools
  • Collaborate with internal business groups and domain experts to develop problems, gather requirements, and design advanced analytics solutions.
  • Collaborate with team members and other Data and Analytics interns to design, develop, and deliver advanced analytics projects.
  • Perform data discovery, exploratory analysis, and data profiling activities using Python, SQL, and PowerBI.
  • Perform ETL, data engineering, and data wrangling in Python and SQL supporting advanced analytics projects.
  • Develop advanced analytics models (machine learning, statistical, mathematical, or computational models) using Python to solve industry problems.
  • Develop data visualizations and dashboards using PowerBI to display and present advanced analytical model results as well as descriptive and exploratory analytics.
  • Effectively communicate and present advanced analytics model results and project outcomes.
  • Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth.
  • Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning.
  • Perform any additional responsibilities as requested or assigned.

Performance Expectations

  • Perform responsibilities as directed within determined time frames and with a high degree of accuracy.
  • Establish and maintain effective work relationships within the department and the company.
  • Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training.
  • Maintain sensitive and confidential information regarding company information.
  • Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules.
  • Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.

Skills for Success

  • Effective oral and written communication skills.
  • Effective analytical and problem-solving skills.
  • Effective interpersonal skills and customer relationship skills
  • Ability to prioritize and handle multiple tasks and projects concurrently.
  • Experience using Python to develop machine learning or statistical models.
  • Experience using SQL to work with database tables and ETL processes.
  • Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred.

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