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Weekend Data Analyst

InsightMetrics Analytics
Mesa
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
10 Oktober 2026
Deadline
10 Okt 2027

Job Description

Join our dynamic analytics team as a Weekend Data Analyst in Mesa, AZ! This full-time role offers the unique flexibility of a Saturday-Sunday schedule while working with cutting-edge data to drive business decisions. You'll transform raw data into actionable insights, collaborate with cross-functional teams, and contribute to strategic initiatives that impact our company's growth. If you're a detail-oriented professional seeking work-life balance without compromising impact, this opportunity is for you.

Responsibilities

  • Analyze complex datasets using SQL, Python, and visualization tools to identify trends and anomalies
  • Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Collaborate with weekend operations teams to troubleshoot data quality issues in real-time
  • Develop automated reporting pipelines to improve weekend data delivery efficiency
  • Present data-driven recommendations to leadership during Monday morning syncs
  • Monitor weekend performance metrics and alert key stakeholders of significant deviations
  • Document analytical processes and maintain weekend-specific data dictionaries

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with proven weekend shift adaptability
  • Advanced proficiency in SQL and Python (Pandas, NumPy)
  • Expertise in data visualization tools (Tableau or Power BI)
  • Strong statistical knowledge with experience in A/B testing and hypothesis validation
  • Ability to work independently with minimal supervision during weekend shifts
  • Experience with cloud platforms (AWS/GCP/Azure) data services
  • Excellent written and verbal communication skills for Monday handoffs

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS Weekend Adaptability

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