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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst (Weekend Shift)

Nexus Analytics
Phoenix
Estimated Salary
USD 58.240 – USD 83.200
New
Live Update
23 September 2026
Deadline
23 Sep 2027

Job Description

Join Nexus Analytics as a Weekend Data Analyst and transform raw data into actionable insights while enjoying a flexible schedule! We're seeking a detail-oriented professional to support our growing tech team during Saturday-Sunday shifts. This role offers the perfect work-life balance for those who thrive in focused, weekend-based environments while making significant impact on our data-driven decisions.

At Nexus Analytics, we empower businesses through intelligent data solutions. Our Phoenix-based team combines cutting-edge analytics with practical business strategies, and we need a Weekend Data Analyst to help us maintain momentum during off-peak hours. You'll work with industry-leading tools and collaborate with a passionate team committed to innovation.

Responsibilities

  • Analyze complex datasets using SQL and Python to identify trends and generate actionable reports
  • Create interactive dashboards in Tableau/Power BI for weekend operational oversight
  • Support ad-hoc data requests from cross-functional teams during weekend shifts
  • Monitor data quality and implement validation protocols for weekend data pipelines
  • Prepare executive summaries highlighting weekend performance metrics
  • Collaborate with weekday analysts to ensure seamless data handover
  • Document analytical processes and maintain weekend data dictionaries

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 2+ years of professional data analysis experience with weekend shift preference
  • Expert proficiency in SQL and Python (Pandas, NumPy)
  • Strong experience with data visualization tools (Tableau or Power BI)
  • Proven ability to work independently with minimal supervision
  • Excellent problem-solving skills and attention to detail
  • Familiarity with cloud platforms (AWS/GCP/Azure) data services
  • Ability to communicate complex findings to non-technical stakeholders

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Excel AWS Weekend Shift Data Mining

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