Data Intern

Child and Family Services of Erie County, Inc.Town of Cheektowaga, NY
Hybrid

About The Position

The Data Intern will work closely with the Data Analyst to support a variety of data-related projects and daily operations. This role is ideal for a college student seeking hands-on experience in data analytics, business intelligence, and organizational reporting. The intern will have the opportunity to learn more about how non-profit agencies support communities and make a positive impact.

Requirements

  • Current enrollment in a Bachelor’s or Master’s program in Data Science, Computer Science, Information Systems, or a related field.
  • Must be enrolled in an internship program and receiving school credit for internship hours
  • Foundational knowledge of data modeling, data gathering, and data cleansing.
  • Proficiency in Microsoft Excel and basic SQL.
  • Familiarity with dashboarding tools (e.g., Power BI, Tableau, Sisense).
  • Strong analytical and problem-solving skills.
  • Ability to work independently and collaboratively.
  • Good written and oral communication skills.
  • Interest in data analytics and its impact on organizational outcomes.

Responsibilities

  • Assist with data gathering, cleaning, and transformation for reporting and dashboard development.
  • Support the creation and maintenance of dashboards, logic models, and scorecards.
  • Help document data flows, relationships, and processes (e.g., ER diagrams, data dictionaries).
  • Participate in data validation and quality assurance activities.
  • Aid in preparing reports for program evaluation, strategic planning, and committee participation.
  • Contribute to the organization and review of program data needs across multiple systems (e.g., EHRs, BI platforms, Odoo, FAMs).
  • Support the implementation of artificial intelligence initiatives and learning groups as directed.
  • Assist with documentation and communication of data findings for various audiences.
  • Attend relevant meetings and work groups as needed.

Benefits

  • Supervision and mentorship provided by the Data Analyst will occur on a bi-weekly basis.
  • Opportunity to participate in team meetings, training, and collaborative projects.
  • Flexible schedule to accommodate academic commitments.
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