Business Analyst Associate Intern

GD Information TechnologySpringfield, MO
$23 - $31Onsite

About The Position

GDIT's Summer Internship Program is designed with you in mind! Our internship provides you the opportunity to be a part of a collaborative team that is helping to solve our clients' most challenging matters. Throughout GDIT's 10-week Summer Internship Program, you will have the opportunity to work side-by-side with GDIT professionals delivering work for clients, collaborate with a team of peers to research and propose solutions to a current business challenge, participate in a mentoring circle led by an early career champion, interact with GDIT leaders, and participate in professional development. Our Business Analysis Internship is designed to make a direct impact on a broad variety of projects and help to co-create and deliver successful solutions to GDIT's clients. As a Business Analyst Intern, you'll play a key part in driving company success by solving complex problems that enable insights into operational performance.

Requirements

  • Currently enrolled in an associate's, bachelor's or master's degree program in Business Administration, Finance, Statistics, Economics or similar discipline.
  • Ability to actively collaborate with others.
  • Strong computer skills in MS Office (Excel, SharePoint, PowerPoint)
  • Self-motivated, enthusiastic, and positive attitude
  • Ability to manage projects and prioritize competing requirements in a fast-paced environment.
  • Strong written and verbal communication skills, with the ability to translate technical terminology, concepts, and issues in terms understandable to both technical and non-technical resources.
  • Ability to build meaningful relationships with manager and members of your team in a remote environment.
  • Ability to prioritize tasks and responsibilities.
  • Intuitiveness with an ability to identify and solve complex problems related to rapidly changing technology.
  • A sense of genuine, intellectual curiosity and a nimble mindset
  • US Citizenship Required: Yes
  • Applicants should have a minimum of one semester remaining in their studies after their internship concludes.

Nice To Haves

  • Big Data Processing
  • Data Analytics
  • Quantitative Analysis
  • Excellent analytical and troubleshooting skills.
  • Previous work experience related to your field of study
  • Broad knowledge of project management and data analytics
  • Analytical and quantitative skills: working with and synthesizing big data into actionable insights
  • Comfortable using data software to conduct analyses and synthesize findings

Responsibilities

  • Use modeling and analytics to understand how business decisions impact our bottom line
  • Learn how to leverage new tools and technologies
  • Collect and analyze information by reviewing databases, interpreting reports, and communicating evaluations with key team members
  • Produce reporting on an as needed basis (daily, weekly, monthly)
  • Communicate complex data through comprehensive methods
  • Calculate and evaluate business metrics to meet ongoing organizational or client informational needs
  • Assist in the research and assessment of business goals, objectives and needs to align information technology solutions with business initiatives
  • Assist in planning and designing business processes
  • Formulate recommendations to improve and support business activities
  • Various duties that enhance the productivity and procedures of the company

Benefits

  • Paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
  • Short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance.
  • Medical plan options, some with Health Savings Accounts
  • Dental plan options
  • Vision plan
  • 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.
  • Full flex work weeks where possible
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