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Information Technology 🏢 Full Time ⭐️ Verified

Entry-Level Data Analyst

Nexus Analytics Group
Minneapolis
Estimated Salary
USD 55.000 – USD 65.000
Live Update
12 Agustus 2026
Deadline
12 Agu 2027

Job Description

Join Nexus Analytics Group as an Entry-Level Data Analyst and launch your career in the heart of Minneapolis' thriving tech scene. We're seeking passionate individuals who transform raw data into actionable insights that drive business decisions. Our collaborative team values curiosity, analytical thinking, and continuous learning. Enjoy modern downtown offices, mentorship from senior analysts, and opportunities to work with cutting-edge tools like Python, SQL, and Tableau. This role offers structured training programs and clear career progression paths into specialized data science tracks.

Responsibilities

  • Collect, clean, and analyze structured/unstructured datasets using SQL and Python
  • Create compelling visualizations and dashboards using Tableau/Power BI
  • Support cross-functional teams by generating ad-hoc reports and KPI tracking
  • Identify trends and anomalies in business data to inform strategic decisions
  • Collaborate with stakeholders to translate business questions into analytical frameworks
  • Assist in developing automated data pipelines and reporting solutions
  • Present findings to non-technical audiences through clear, concise narratives

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • Proficiency in SQL and at least one programming language (Python/R preferred)
  • Experience with data visualization tools (Tableau, Power BI, or similar)
  • Strong problem-solving skills and attention to detail
  • Basic knowledge of statistical analysis and experimental design
  • Ability to communicate complex concepts to non-technical stakeholders
  • Portfolio demonstrating data analysis projects (school or personal)
  • Eagerness to learn new technologies and methodologies

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis Data Cleaning Reporting Business Intelligence

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