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Information Technology 🏢 Full Time ⭐️ Verified

Entry Level Data Analyst

TechCorp Innovations
Omaha
Estimated Salary
USD 55.000 – USD 75.000
New
Live Update
1 Oktober 2026
Deadline
1 Okt 2027

Job Description

Join TechCorp Innovations as an Entry Level Data Analyst and kickstart your career in data-driven decision making! We're a leading tech company revolutionizing industries through innovative data solutions. Our Omaha-based team thrives on collaboration, continuous learning, and solving complex challenges. This role offers mentorship from senior analysts, exposure to cutting-edge tools, and a clear path to career growth in a supportive environment.

You'll transform raw data into actionable insights that drive business strategy, working with cross-functional teams to deliver impactful reports and visualizations. If you're passionate about numbers, curious about patterns, and eager to build a foundation in data analytics, we encourage you to apply!

Responsibilities

  • Analyze complex datasets to identify trends, anomalies, and opportunities for business optimization
  • Create compelling data visualizations and dashboards using tools like Tableau and Power BI
  • Collaborate with product and marketing teams to define data requirements for strategic initiatives
  • Develop and maintain automated data pipelines to ensure data quality and accessibility
  • Present findings to stakeholders through clear, concise reports and presentations
  • Assist in A/B testing design and analysis to improve product performance
  • Stay updated on industry best practices and emerging analytics technologies

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field
  • Proficiency in SQL for data extraction and manipulation
  • Experience with data visualization tools (Tableau, Power BI, or similar)
  • Basic knowledge of Python or R for statistical analysis
  • Strong attention to detail and problem-solving skills
  • Ability to communicate complex data concepts to non-technical audiences
  • Portfolio demonstrating data analysis projects (academic or personal)
  • Passion for continuous learning in data technologies and methodologies

Required Skills

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

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