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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekly Pay) - Colorado Springs

Nexus Analytics Group
Colorado Springs
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
14 September 2026
Deadline
14 Sep 2027

Job Description

Join our dynamic team at Nexus Analytics Group as a Data Analyst in beautiful Colorado Springs! We're seeking a detail-oriented professional to transform complex data into actionable insights. Enjoy the unique benefit of weekly pay, ensuring financial flexibility while making an impact. You'll collaborate with cross-functional teams to drive data-driven decisions, optimize operations, and uncover growth opportunities. Our culture values innovation, work-life balance, and professional development in the heart of the Rocky Mountains.

Responsibilities

  • Analyze complex datasets using SQL, Python, and visualization tools to identify trends and opportunities
  • Create compelling dashboards and reports using Tableau/Power BI for executive stakeholders
  • Design and implement A/B tests to optimize marketing campaigns and product features
  • Collaborate with engineering teams to improve data collection and quality
  • Present findings to leadership with clear, actionable recommendations
  • Monitor KPIs and develop automated reporting systems
  • Support strategic initiatives through advanced statistical modeling

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas, NumPy), and visualization tools
  • Strong experience with statistical analysis and hypothesis testing
  • Excellent communication skills with ability to translate technical concepts
  • Experience working with large datasets and cloud platforms (AWS/GCP)
  • Certification in Tableau, Google Analytics, or similar preferred
  • Eligible to work in the United States

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization A/B Testing Business Intelligence

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