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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst (Weekend Shift)

TechNova Analytics
Philadelphia
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
9 September 2026
Deadline
9 Sep 2027

Job Description

Join TechNova Analytics, a leading innovator in data-driven solutions, as a Weekend Shift Data Analyst. This unique opportunity allows you to leverage cutting-edge analytics while maintaining a balanced work-life schedule. Our Philadelphia team transforms complex datasets into actionable insights that drive strategic decisions for Fortune 500 clients. You'll collaborate with elite data scientists and engineers in a dynamic, inclusive environment where your weekend contributions directly impact global business outcomes. Enjoy competitive compensation, comprehensive benefits, and career growth opportunities within one of America's fastest-growing tech ecosystems.

Responsibilities

  • Analyze large-scale datasets using SQL, Python, and statistical modeling to identify trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Develop automated reporting pipelines to ensure weekend data accuracy and timeliness
  • Collaborate with cross-functional teams to translate business requirements into analytical solutions
  • Maintain data integrity through rigorous quality assurance and validation processes
  • Present findings to senior leadership through compelling data narratives

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with weekend shift flexibility
  • Expert proficiency in SQL and Python (Pandas, NumPy)
  • Advanced knowledge of data visualization tools (Tableau or Power BI)
  • Strong statistical analysis and hypothesis testing skills
  • Experience with cloud platforms (AWS/GCP/Azure) data services
  • Ability to work independently during weekend shifts while maintaining collaboration standards

Required Skills

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

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