Summer Internship- Data & Analytics; Bham

The Data & Analytics (DnA) internship will provides hands-on experience across Data Management, Technical Architecture, Machine Learning, and business analytics. Interns work alongside experienced team members to support business learners, extract actionable insights and address operational and technical challenges across various business units.

The Data & Analytics (DnA) internship will provides hands-on experience across Data Management, Technical Architecture, Machine Learning, and business analytics. Interns work alongside experienced team members to support business learners, extract actionable insights and address operational and technical challenges across various business units.

Our team fosters a collaborative and structured environment with direct mentorship from senior analytics professionals.

• Assist with various tasks and projects assigned by supervisor and team members.
• Conduct research and gather data to support ongoing projects or initiatives.
• Collaborate with team members to develop and implement strategies.
• Participate in team meetings and provide input or suggestions as appropriate.
• Support the development and maintenance of databases, spreadsheets, and other relevant tools.
• Adhere to company policy.
• Maintain confidentiality of sensitive information.
• Seek opportunities to learn and grow in field of interest.
• Complete assigned tasks safely, efficiently ad within specified deadlines.
• May perform administrative duties such as filing, data entry, and organizing documents.
• Attend/complete training as needed to enhance skills and knowledge.
• Other duties as assigned.

• Communication
  - Communicates clearly and effectively, both verbally and in writing, while actively listening and adapting the message to the audience.
• Team Player
  - Works cooperatively and effectively with team members to achieve shared goals, willingly assisting others and fostering a positive and productive team environment. Treats other employees or customers with courtesy, dignity and respect.
• Interpersonal Savvy
  - Engages openly and comfortably with diverse groups, demonstrating tact, sensitivity, and consideration to ease interpersonal situations. Quickly establishes rapport and fosters positive connections.
• Work Ethic
  - Committed to high-quality work, demonstrating professionalism, integrity, and personal responsibility in fulfilling job duties.
• Commitment to Learning:
  Applies intellect to the fullest, welcoming activities that require one to stretch.
• Adaptability
  - Adapts to new conditions, is flexible and open-minded when facing challenges, and maintains high performance during change.

• Must be currently enrolled and be in good standing with their College/University and be pursuing a degree in a Computer Science, Data Analytics, Management Information Systems, or a related field.
• Junior or Senior level is preferred.

• Previous work experience is a plus but is not required.
• Experience in customer-facing or service roles demonstrating strong communication and stakeholder engagement.
• Leadership involvement in student organization, academic cubs, or extracurricular activities.
• Should demonstrate tenacity and the ability to work on teams, take instruction, the desire for learning all areas of the work involved.

• Excellent computer skills and experience utilizing Microsoft Word, Excel and PowerPoint and Google Mail.
• Good oral and written communication skills as well as excellent interpersonal skills.
• Should demonstrate tenacity and the ability to work on teams, take instruction, the desire for learning all areas of the work involved.
• Excellent organizational and time management skills
• Motivated, self-starter;
  Ability to work independently without direct supervision and as part of a team well.
• Adaptability and willingness to take on new challenges.
• Problem-Solving Aptitude
  - Demonstrated initiative and critical thinking skills when tackling technical and analytical problems.

• Some travel may be required. May require driving between operating locations.
• May involve exposure to dust, dirt and noise.
• May work in an office setting and that requires sitting/standing for extended periods of time.
• If in an operations setting must have the ability to lift 50 pounds and to stand, sit and walk for long periods of time.
• Requires the use of computerized equipment and technology.
• This position requires knowledge and awareness of site…