Remote Data Analyst Intern — Dashboards & Insights

CAI

Olympia (WA)

Remote

USD 25,000 - 33,000

Full time

7 days ago
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Job summary

CAI is seeking a Data Analyst Intern in the United States to support data analytics, cleansing, dashboard reporting, and program quality review. This full-time internship will be remote, running June 7, 2027 through August 6, 2027, with a 40-hour week and core hours 8:30 a.m. EST to 5:00 p.m.

EST. All work must be performed in the United States. You'll gain hands-on experience turning data into meaningful insights across health and human services areas, collaborating with senior staff and fellow

Qualifications

  • Pursuing an eligible degree in a data-related field.
  • Experience with data analysis or research methods.
  • GPA 3.5 or higher.
  • Strong Excel skills, including pivot tables and VLOOKUP/XLOOKUP.
  • Familiarity with SQL for querying relational data.
  • Experience with Power BI or Tableau preferred.

Responsibilities

  • Support data analytics, data cleansing, and dashboard reporting.
  • Assist with data quality review across health and human services programs.
  • Turn data into clear summaries and visuals for non-technical audiences.
  • Collaborate with interns on a community outreach project.
  • Present findings during internal discussions.

Skills

Data analytics
Data cleansing
Dashboard reporting
Statistical methods
Data visualization
Communication skills

Education

Current junior pursuing a degree in data analytics / statistics / health informatics / economics
GPA 3.5+
Coursework in data analysis / research methods

Tools

SQL
Power BI
Tableau
Excel
PowerPoint

Job description

CAI is seeking a Data Analyst Intern in the United States to support data analytics, cleansing, dashboard reporting, and program quality review. This full-time internship will be remote, running June 7, 2027 through August 6, 2027, with a 40-hour week and core hours 8:30 a.m. EST to 5:00 p.m.

EST. All work must be performed in the United States. You'll gain hands-on experience turning data into meaningful insights across health and human services areas, collaborating with senior staff and fellow

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