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Information Technology 🏢 Full Time ⭐️ Verified

Entry Level Data Analyst with Relocation Assistance

DataDriven Innovations
Austin
Estimated Salary
USD 65.000 – USD 85.000
Live Update
16 Agustus 2026
Deadline
16 Agu 2027

Job Description

Join our dynamic analytics team at DataDriven Innovations and kickstart your career in data science! We're seeking passionate Entry Level Data Analysts to transform complex datasets into actionable insights. As a newly hired team member, you'll receive comprehensive relocation assistance including moving stipend, temporary housing support, and visa sponsorship for international candidates. Our Austin headquarters features cutting-edge technology, collaborative workspaces, and a culture that champions innovation and professional growth. Enjoy competitive benefits, flexible work arrangements, and mentorship from industry experts.

Responsibilities

  • Analyze and interpret complex datasets to identify trends and business opportunities
  • Create compelling visualizations using Tableau and Power BI
  • Develop SQL queries to extract and clean data from relational databases
  • Collaborate with cross-functional teams to deliver data-driven recommendations
  • Automate reporting processes using Python and R
  • Present findings to stakeholders through clear, concise documentation
  • Continuously improve data quality and validation frameworks

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 0-2 years of professional data analysis experience
  • Proficiency in SQL and at least one programming language (Python/R)
  • Experience with data visualization tools (Tableau/Power BI)
  • Strong problem-solving and critical thinking abilities
  • Excellent written and verbal communication skills
  • Ability to work in a fast-paced, collaborative environment
  • Portfolio demonstrating data analysis projects (GitHub, personal website)

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis Excel Data Cleaning Machine Learning Data Warehousing

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