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Information Technology 🏢 Full Time ⭐️ Verified

Entry-Level Data Analyst

DataVista Analytics
Chicago, IL
Estimated Salary
USD 55.000 – USD 70.000
Live Update
4 Mei 2026
Deadline
4 Mei 2027

Job Description

Launch your data career with DataVista Analytics! We're seeking passionate, entry-level talent to join our dynamic team in Chicago. No prior experience required – we provide comprehensive training and mentorship to transform analytical curiosity into professional expertise. Work with Fortune 500 clients while developing foundational skills in SQL, Excel, and visualization tools in a collaborative, growth-focused environment.

Our analysts drive business decisions through data storytelling, transforming complex datasets into actionable insights. You'll gain hands-on experience with real-world projects while building a portfolio that showcases your growing capabilities. This is your opportunity to enter one of today's most in-demand fields with full company support.

Responsibilities

  • Clean and prepare datasets from multiple sources for analysis
  • Create interactive dashboards using tools like Tableau or Power BI
  • Identify trends and patterns through statistical analysis
  • Generate clear data visualizations for stakeholder presentations
  • Support ad-hoc reporting requests from cross-functional teams
  • Document analytical processes and maintain data quality standards
  • Collaborate with senior analysts to refine methodologies

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field
  • Proficiency in Microsoft Excel (pivot tables, VLOOKUP, data modeling)
  • Basic understanding of SQL queries and database structures
  • Strong problem-solving and critical thinking abilities
  • Excellent written and verbal communication skills
  • Attention to detail with high accuracy in data handling
  • Passion for learning new analytical technologies
  • Eligible to work in the United States

Required Skills

SQL Excel Data Visualization Tableau Power BI Statistical Analysis Data Cleaning Business Intelligence

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