Data Automation and AI intern

Rate of pay: $20.00 per hour - $20.00 per hour

Up to 10 hours a week - schedule is flexible

Temporary - Project Based

JOB TITLE: Data Automation and AI Intern               

SUMMARY: The intern will play an active role in designing and optimizing workflows that extract, clean, and merge data from multiple sources into a central data warehouse. They will also contribute to evaluating and recommending the tools and technologies that best fit our needs as we build an automated, AI-assisted dashboard for organization-wide decision-making.

SUCCESSION PATH: Successful incumbents may be considered for advancement into Data Automation and AI Specialist (or others based on interest) based on      organizational need and readiness.

ESSENTIAL DUTIES & RESPONSIBILITIES:

• Assist with data extraction from multiple SaaS platforms using APIs or automation tools.
• Help clean, standardize, and validate data to ensure accuracy and usability.
• Support data integration and workflow automation processes across platforms.
• Research, test, and help determine which tools, frameworks, or AI solutions best support our data goals.
• Collaborate with staff to design and develop visual dashboards and performance reports.
• Document data workflows and contribute insights for improving efficiency and automation.     

SUCCESS FACTORS:

      The Data Automation and Analytic Intern is expected to consistently demonstrate the following core competencies in the delivery and oversight of services:

Accountability & Dependability:
Takes ownership of assigned data tasks and follows them through to completion, whether extracting data, troubleshooting workflows, or supporting dashboard development. Consistently meets deadlines, communicates progress, and demonstrates initiative when resolving data issues or inefficiencies without waiting to be prompted.

Attention to Detail:
Ensures a high level of accuracy when working with data by carefully cleaning, validating, and standardizing datasets across multiple systems. Recognizes inconsistencies, missing values, or errors in data pipelines and takes corrective action to maintain the integrity and reliability of reporting outputs.

Communication:
Communicates clearly with both technical and non-technical staff, providing updates on data tasks, raising questions when needed, and explaining findings in a straightforward way. Able to collaborate effectively when gathering requirements for dashboards or clarifying how data is used across programs.

Planning & Organizing:
Manages multiple data-related tasks in a structured and methodical way, including tracking workflows, organizing datasets, and documenting processes. Prioritizes work effectively across extraction, cleaning, integration, and reporting activities while contributing to the development of efficient, repeatable data processes.

QUALIFICATIONS:

      Required:

• Currently pursuing a degree in Data Science, Computer Science, Information Systems, or a related field.
• Basic understanding of APIs, ETL processes, and cloud-based systems.
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Enthusiasm for using technology and AI to modernize non-profit operations.

Salary : $20