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Information Technology 🏢 Full Time ⭐️ Verified

Entry-Level Data Analyst

TechNova Analytics
Mesa
Estimated Salary
USD 55.000 – USD 75.000
Live Update
17 Agustus 2026
Deadline
17 Agu 2027

Job Description

Join TechNova Analytics, a leading innovator in data-driven solutions, and kickstart your career as an Entry-Level Data Analyst in Mesa, Arizona! We're seeking passionate individuals ready to transform raw data into actionable insights that power our cutting-edge tech solutions. As part of our dynamic team, you'll work with industry leaders to solve complex business challenges while growing your skills in a supportive environment. Our Mesa hub offers collaborative workspaces, mentorship opportunities, and direct exposure to Fortune 500 clients. If you're ready to launch your analytics career in one of America's fastest-growing tech markets, apply today!

Responsibilities

  • Analyze complex datasets using SQL, Python, and Excel to identify trends and business opportunities
  • Create compelling data visualizations with Tableau and Power BI for executive stakeholders
  • Develop automated reporting dashboards to track KPIs and performance metrics
  • Collaborate with cross-functional teams to translate business requirements into analytical solutions
  • Conduct A/B testing and statistical analysis to optimize product strategies
  • Maintain data quality through cleansing, validation, and documentation processes
  • Present findings to non-technical audiences through clear, concise reports and presentations

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field (graduating seniors welcome)
  • Proficiency in SQL and at least one programming language (Python preferred)
  • Experience with data visualization tools (Tableau, Power BI, or similar)
  • Strong analytical thinking and problem-solving abilities
  • Attention to detail with exceptional data accuracy standards
  • Excellent written and verbal communication skills
  • Ability to manage multiple projects in a fast-paced environment
  • Familiarity with statistical analysis methods (regression, hypothesis testing)

Required Skills

SQL Python Excel Tableau Data Visualization Statistics Business Intelligence R

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