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Information Technology 🏢 Full Time ⭐️ Verified

Entry Level Data Analyst

DataDriven Analytics Inc.
Austin
Estimated Salary
USD 55.000 – USD 75.000
New
Live Update
14 Oktober 2026
Deadline
14 Okt 2027

Job Description

Join our innovative analytics team and kickstart your career in data science! We're seeking passionate entry-level Data Analysts to transform complex datasets into actionable insights. As a rapidly growing tech firm, we offer comprehensive relocation assistance to help you relocate to Austin, Texas – including moving stipends, temporary housing, and visa sponsorship for international candidates.

You'll work with cutting-edge tools like Python, SQL, and Tableau to drive data-informed decisions across our marketing and operations departments. Our collaborative culture values fresh perspectives and continuous learning, with mentorship programs and professional development opportunities to accelerate your growth.

Responsibilities

  • Analyze large datasets using SQL and Python to identify trends and business opportunities
  • Create interactive visualizations and reports using Tableau/Power BI for stakeholders
  • Support A/B testing initiatives and measure campaign performance metrics
  • Collaborate with cross-functional teams to translate business questions into data solutions
  • Maintain data quality through cleansing, validation, and documentation processes
  • Present findings to leadership through clear, concise data narratives

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 0-2 years of experience with data analysis or relevant academic projects
  • Proficiency in SQL and Python (Pandas, NumPy)
  • Experience with data visualization tools (Tableau, Power BI, or similar)
  • Strong problem-solving skills and attention to detail
  • Excellent communication abilities to translate technical concepts
  • Eagerness to learn and adapt in a fast-paced environment

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis Data Cleaning Business Intelligence

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