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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift) - Remote Options

Nexus Analytics Group
Philadelphia, PA
Estimated Salary
USD 75.000 – USD 95.000
Live Update
12 Agustus 2026
Deadline
12 Agu 2027

Job Description

Join our dynamic data team as a Weekend Shift Data Analyst and transform raw data into actionable business insights. This hybrid role offers the flexibility of remote work with weekend on-site collaboration in Philadelphia. You'll work with cutting-edge analytics tools to drive data-driven decision-making across departments. We're seeking a detail-oriented professional passionate about uncovering hidden patterns in complex datasets. Enjoy competitive compensation, comprehensive benefits, and a supportive work environment focused on professional growth. Apply now to become a key player in our data revolution!

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and business opportunities
  • Create interactive dashboards and visualizations using Tableau and Power BI
  • Develop automated reporting pipelines for weekend data refresh cycles
  • Collaborate with cross-functional teams to translate data findings into actionable strategies
  • Monitor KPIs and performance metrics to support weekend business operations
  • Present insights to stakeholders through clear, compelling data narratives
  • Ensure data integrity across multiple platforms and maintain documentation standards

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence roles
  • Proficiency in SQL, Python (Pandas, NumPy), and statistical analysis
  • Advanced skills in data visualization tools (Tableau, Power BI, or D3.js)
  • Experience working with large datasets and cloud platforms (AWS/GCP/Azure)
  • Strong problem-solving abilities with attention to detail
  • Excellent communication skills for presenting technical findings
  • Ability to work independently during weekend shifts with minimal supervision

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis AWS Data Modeling Business Intelligence

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