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Data Analyst (Weekend Shift) - Charlotte, NC

Dell Technologies
Charlotte
Estimated Salary
USD 65.000 – USD 85.000
Live Update
29 Juli 2026
Deadline
29 Jul 2027

Job Description

Join Dell Technologies' elite analytics team as a Weekend Shift Data Analyst in Charlotte, NC! This high-impact role combines cutting-edge data science with weekend flexibility, offering unparalleled growth opportunities in one of America's fastest-growing tech hubs. You'll transform complex datasets into actionable insights that drive strategic decisions across our global operations. Enjoy competitive compensation, comprehensive benefits, and a dynamic remote-friendly environment where innovation thrives. Perfect for data professionals seeking work-life balance without compromising career advancement.

Responsibilities

  • Analyze large datasets using SQL, Python, and advanced BI tools to identify trends and opportunities
  • Create compelling data visualizations and dashboards using Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to optimize weekend operations and resource allocation
  • Develop predictive models to forecast weekend performance metrics and business outcomes
  • Maintain data integrity through rigorous quality checks and documentation best practices
  • Present findings to leadership through concise, data-driven narratives
  • Implement A/B testing frameworks to enhance weekend customer experiences

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with weekend shift exposure
  • Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong statistical analysis background with experimental design knowledge
  • Experience with cloud platforms (AWS, Azure, or GCP) and ETL processes
  • Exceptional problem-solving skills and attention to detail
  • Ability to work independently during weekend shifts with minimal supervision
  • Excellent communication skills for translating complex insights for non-technical audiences

Required Skills

Data Analysis SQL Python Tableau Predictive Modeling A/B Testing Cloud Platforms Statistical Analysis

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