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Data & Analytics 🏢 Part Time ⭐️ Verified

Data Analyst (Weekend Shift)

DataInsights Global
New York
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
6 Mei 2026
Deadline
6 Mei 2027

Job Description

Transform Data into Strategic Advantage on Your Schedule!

DataInsights Global seeks a meticulous Data Analyst to join our weekend team and unlock hidden patterns in our complex datasets. This part-time role (Saturday/Sunday, 8 AM - 4 PM) offers the flexibility of weekend work while tackling high-impact business intelligence challenges. You'll collaborate with cross-functional teams to deliver actionable insights that drive our New York operations forward.

Why Join Us?
• Competitive weekend shift premiums
• Cutting-edge analytics environment
• Direct impact on C-suite decisions
• Hybrid work model (3 days remote/2 days in NYC office)

Responsibilities

  • Analyze complex datasets using SQL, Python, and BI tools to identify trends and opportunities
  • Create dynamic dashboards and reports in Tableau/Power BI for executive stakeholders
  • Collaborate with weekend operations teams to troubleshoot data anomalies in real-time
  • Develop automated data pipelines to streamline weekend reporting workflows
  • Present findings to senior leadership through compelling visual narratives
  • Maintain data integrity across weekend batch processing cycles
  • Support ad-hoc analytics requests from global business units

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (Master's preferred)
  • 3+ years of hands-on data analysis experience with weekend shift exposure
  • Expert proficiency in SQL, Python (Pandas/Numpy), and visualization tools
  • Proven track record of translating complex data into business strategies
  • Strong problem-solving skills with attention to detail in high-pressure scenarios
  • Experience with cloud platforms (AWS/GCP) and ETL processes
  • Ability to thrive in autonomous weekend work environments

Required Skills

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

Ready to Take This Challenge?

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