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Information Technology 🏢 Full Time ⭐️ Verified

Entry-Level Data Analyst - Relocation Assistance Provided

DataVision Analytics
Atlanta
Estimated Salary
USD 55.000 – USD 70.000
Live Update
17 Agustus 2026
Deadline
17 Agu 2027

Job Description

Join DataVision Analytics as an Entry-Level Data Analyst and kickstart your career in data science! We're seeking motivated individuals with no prior experience to transform raw data into actionable insights. Full relocation assistance included – we’ll cover moving expenses, temporary housing, and visa sponsorship if needed. Work alongside industry experts in our Atlanta headquarters while enjoying Georgia’s vibrant tech ecosystem and affordable living costs.

This role offers structured training programs, mentorship from senior analysts, and opportunities to grow into specialized data science tracks. If you’re passionate about problem-solving and eager to learn, we want to hear from you!

Responsibilities

  • Collect, clean, and analyze structured/unstructured datasets using SQL and Python
  • Create interactive dashboards and visualizations using Tableau and Power BI
  • Identify trends and anomalies to support business decision-making
  • Collaborate with cross-functional teams to define data requirements
  • Document data processes and maintain data quality standards
  • Present findings to stakeholders through clear, concise reports
  • Participate in ongoing training to develop advanced analytical skills

Qualifications

  • Recent bachelor’s degree in Statistics, Computer Science, Economics, or related field
  • Proficiency in Microsoft Excel (pivot tables, VLOOKUPs)
  • Basic knowledge of SQL and Python (Pandas, NumPy)
  • Strong problem-solving and critical thinking abilities
  • Excellent written and verbal communication skills
  • Ability to learn new tools and technologies quickly
  • Authorized to work in the United States (visa sponsorship available)
  • Willingness to relocate to Atlanta, Georgia

Required Skills

SQL Python Tableau Power BI Excel Data Visualization Statistical Analysis Data Cleaning

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