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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst - Weekend Shift

Tucson Data Solutions
Tucson
Estimated Salary
USD 22 – USD 28
Live Update
14 Agustus 2026
Deadline
14 Agu 2027

Job Description

Join Tucson's leading data intelligence firm as a Weekend Data Analyst! We're seeking a detail-oriented professional to transform raw data into actionable insights while supporting our clients' weekend operations. This unique role offers flexible scheduling and the opportunity to work with cutting-edge analytics in a collaborative, growth-oriented environment.

As a key member of our analytics team, you'll play a crucial role in driving data-driven decisions for our diverse portfolio of clients. Your weekend schedule (Friday-Sunday) allows for focused analysis while our weekday teams handle implementation. Perfect for students, parents, or professionals seeking work-life balance!

Responsibilities

  • Analyze complex datasets using SQL, Python, and Excel to identify trends and patterns
  • Create interactive dashboards and visualizations using Tableau/Power BI
  • Generate weekly performance reports for client stakeholders
  • Monitor data quality and troubleshoot anomalies in weekend data streams
  • Collaborate with cross-functional teams to support weekend business operations
  • Present findings to non-technical stakeholders through clear, concise documentation
  • Contribute to process improvements for weekend data workflows

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, or related field
  • 2+ years of professional data analysis experience
  • Proficiency in SQL, Python (Pandas/Numpy), and Excel
  • Experience with data visualization tools (Tableau/Power BI)
  • Strong problem-solving skills with attention to detail
  • Ability to work independently during weekend shifts
  • Excellent communication and presentation skills
  • Experience working with healthcare or retail data preferred

Required Skills

SQL Python Tableau Power BI Data Visualization Excel Statistical Analysis Data Cleaning

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