Analytics Internship: Visualize Data & Build Solutions

Forvis Mazars US; Springfield (MO); On-site; USD 60,000 - 85,000; Full time

Job summary

Forvis Mazars US is seeking a self-starting Data Analytics professional to deliver advanced analytics and develop new data analytics products within the Analytics team. The role involves importing data, cleansing, visualizations, and collaborating with clients to troubleshoot data issues.

On-the-job training is provided, and you will contribute to innovation projects and enhance existing data solutions while delivering an unmatched client experience through clear communication and teamwork.

Qualifications

• Bachelor's degree in Data Analytics, Computer Information Systems or related field.
• Strong proficiency with Microsoft Office Suite.
• Maintaining a GPA of 3.0 or higher (in major and overall).

Responsibilities

• Import data from clients and perform data cleansing to ready data for analysis.
• Create and maintain data visualizations.
• Participate in innovation projects to help create new data products.
• Enhance existing data solutions.
• Educate and troubleshoot data issues with clients.
• Collaborate with team members to design, develop, and publish data products and projects.
• Deliver Forvis Mazars' commitment to unmatched client experience through timely communication with clients.

Skills

Effective time management

Strong oral and written communication

Teamwork

Problem-solving

Initiative

Attention to detail

Able to work under pressure

Education

Bachelor's degree in Data Analytics, Computer Information Systems or related program

GPA 3.0 or higher (in major and overall)

Tools

Microsoft Office Suite

Job description

Forvis Mazars US is seeking a self-starting Data Analytics professional to deliver advanced analytics and develop new data analytics products within the Analytics team. The role involves importing data, cleansing, visualizations, and collaborating with clients to troubleshoot data issues.

On-the-job training is provided, and you will contribute to innovation projects and enhance existing data solutions while delivering an unmatched client experience through clear communication and teamwork.