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Predictive Analytics Intern Jobs in Minnesota (NOW HIRING)

This is NOT an intern project. You will work with team members around the world to design and test ... analytics. * Model Testing: Assist in the development and testing of predictive models and ...

Senior Staff Engineer

Plymouth, MN · On-site

$84.92K - $131.67K/yr

... analysis, calculations, recommendations, design and development of plans and specifications ... Engineering Intern (Engineer in Training) (Or ability to obtain) About Us Terracon is a 100 percent ...

Predictive Analytics Intern information

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

To thrive as a Predictive Analytics Intern, you need a solid background in statistics, data analysis, and familiarity with programming languages such as Python or R, often supported by coursework in data science or related fields. Experience with tools like SQL, machine learning libraries (e.g., scikit-learn), and data visualization platforms (such as Tableau or Power BI) is typically expected. Strong problem-solving, attention to detail, and effective communication skills help interns stand out when interpreting and presenting data-driven insights. These competencies are crucial for deriving actionable predictions and supporting business decisions through accurate, well-communicated analyses.

How does a Predictive Analytics Intern typically collaborate with different departments within a company?

As a Predictive Analytics Intern, you will often work closely with teams such as marketing, operations, and IT to gather data, understand business needs, and present analytical findings. Collaboration usually involves attending cross-functional meetings, sharing data-driven insights, and helping stakeholders interpret predictive models for practical decision-making. This role provides valuable exposure to real-world business challenges and helps you develop communication skills that are essential for translating complex analytics into actionable recommendations.

What does a Predictive Analytics Intern do?

A Predictive Analytics Intern assists organizations by analyzing data to forecast future trends and outcomes. They use statistical techniques, machine learning models, and data visualization tools to interpret large datasets and generate actionable insights. Typically, these interns work under the guidance of experienced data scientists or analysts, contributing to projects such as demand forecasting, customer behavior analysis, or risk assessment. Their role also involves cleaning and preparing data, running predictive models, and helping to communicate findings to non-technical stakeholders.

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

AspectPredictive Analytics InternData Analyst Intern
Required SkillsStatistical analysis, programming (Python, R), data modelingData visualization, SQL, basic statistical skills
Work EnvironmentTech companies, finance, marketing teamsBusiness departments, consulting firms, tech companies
Typical TasksBuilding predictive models, analyzing trends, forecastingData cleaning, reporting, creating dashboards

Predictive Analytics Interns focus on developing models to forecast future outcomes using statistical techniques, while Data Analyst Interns primarily analyze and visualize existing data to support decision-making. Both roles require strong analytical skills but differ in their technical focus and project types.

What job categories do people searching Predictive Analytics Intern jobs in Minnesota look for? The top searched job categories for Predictive Analytics Intern jobs in Minnesota are:
What cities in Minnesota are hiring for Predictive Analytics Intern jobs? Cities in Minnesota with the most Predictive Analytics Intern job openings:

Software Engineer in Test Intern

IDeaS

Minneapolis, MN • Hybrid

Other

Posted 13 days ago


Job description

Passionate people. Loyal clients. Leading solutions.

With a rich culture of creative collaboration and professional growth, IDeaS' team members build successful careers with us. 

IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we're working, our teams come together to create leading revenue management solutions that accelerate our clients' growth through revenue optimization. 

Now we just need you! 

** This person must be located in Minnesota** 

As a member of the IDeaS Software Development team our interns will participate in all aspects of the software development lifecycle. You will join an autonomous delivery team that is following agile methodologies in actively creating new features to enhance our revenue management products. While on our team, you will have a great opportunity to expand your technical skillset as well as work in an agile environment that believes in test-first, continuous integration and deployment. Your team's code will be built and deployed to serve clients in over 140 countries. 

As a Software Development Engineer in Test (SDET), you will be responsible for designing automation frameworks and conducting code reviews or refactoring in various areas of the application, including services, front end, and mobile. 

What you'll be doing... 

  • This is NOT an intern project. You will work with team members around the world to design and test applications. 
  • Find innovative solutions to real problems for real clients. 
  • You'll be using some of the following technologies (depending on team placement): 
  • Cypress  
  • SQL Server 
  • MongoDB 
  • Datadog 
  • AWS 
  • API testing 
  • K6 - Performance 
  • RabbitMQ 
  • RestAssured 
  • MySQL  
  • Mobile testing tools IOS/Appium 
  • Selenium 
  • SAS Analytics 
  • Python 
  • Data Validation: Ensure the accuracy and integrity of data used in analytics. 
  • Model Testing: Assist in the development and testing of predictive models and algorithms. 
  • Quality Assurance: Conduct thorough quality checks on data science processes and outputs. 
  • Analyze user stories/requirements, design test plan, create and execute test cases. 
  • Enhance continuous integration using Github and other in-house tools. 
  • Under the guidance of the Lead Engineer, design and develop test tools and test strategies. 
  • Resolve test failures due to, but not limited to, integration, cross feature impact. 
  • Whitebox testing and automation testing using different framework. 

What you'll bring to us... 

  • Planned degree in Computer Science or CE (undergraduate or graduate). 
  • Completed at least 3 years of undergraduate degree (by time of internship) in targeted program and/or have pervious related experience. 
  • Experience with different Test Frameworks/Automation Manual either via coursework or industry experience. 
  • Demonstration of using technical skills outside of classroom work including TA, RA, personal projects, or previous internships. 
  • Relevant certifications in software testing or programming languages/frameworks will be an added advantage. 
  • Analytical and Problem-Solving Skills: Ability to analyze complex technical issues, troubleshoot problems, and propose effective solutions. 

We Support Who You Are....

As a global company, we strive to create an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world.  Whether you're launching a new career or expanding your current one, IDeaS is a company where you can balance great work with all other aspects of your life. 

At IDeaS, we also aspire to live our values each day by being Accountable, Curious, Passionate and Authentic. And we continue our quest to build a more inclusive environment that attracts, represents and provides a place for diverse ideas, unique perspectives, and authentic voices. 

Additional Information:To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights. 

Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.

Resumes may be considered in the order they are received.

IDeaS/SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, IDeaS/SAS may obtain nationality or citizenship information from applicants for employment.

IDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

#IDeaS

#LI-Hybrid

Employment Type: OTHER