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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst - Weekend Shift

Quantum Insights Analytics
New York
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
5 Mei 2026
Deadline
5 Mei 2027

Job Description

Join Quantum Insights Analytics as a Weekend Data Analyst and transform raw data into actionable business intelligence. This unique part-time opportunity allows you to leverage your analytical skills while maintaining a flexible weekday schedule. Our New York team thrives on precision, innovation, and collaborative problem-solving. You'll work with cutting-edge tools to drive data-driven decisions that impact global markets. Enjoy competitive compensation, professional development opportunities, and a dynamic work environment in the heart of Manhattan.

Responsibilities

  • Analyze complex datasets using SQL, Python, and Excel to identify trends and business opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for stakeholder reporting
  • Monitor weekend transactional data and provide real-time performance insights
  • Collaborate with cross-functional teams to deliver data-driven recommendations
  • Develop automated reporting processes to streamline weekend data workflows
  • Ensure data accuracy through rigorous validation and quality control measures
  • Present findings to executive leadership through clear, concise documentation

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with weekend shift preference
  • Advanced proficiency in SQL, Python (Pandas/Numpy), and Excel
  • Expert knowledge in data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and hypothesis testing skills
  • Experience working with large datasets and cloud platforms (AWS/GCP)
  • Excellent communication skills with ability to translate technical concepts
  • Proven ability to work independently and manage time effectively in weekend shifts

Required Skills

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

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