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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekly Pay

Phoenix Analytics Group
Phoenix
Estimated Salary
USD 65.000 – USD 85.000
Live Update
27 Juli 2026
Deadline
27 Jul 2027

Job Description

Join Phoenix Analytics Group as a Data Analyst and enjoy the flexibility of weekly pay! We're seeking a detail-oriented professional to transform raw data into actionable insights for our clients in the healthcare sector. This role offers competitive compensation, remote work options, and growth opportunities in a dynamic environment.

Why You'll Love Working With Us:

  • Weekly pay cycles for financial flexibility
  • Comprehensive benefits package including health insurance
  • Hybrid work model (3 days office, 2 remote)
  • Annual professional development stipend

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and opportunities
  • Create interactive dashboards and visualizations using Tableau and Power BI
  • Develop automated reporting systems to monitor key performance indicators
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Present findings to stakeholders through clear, data-driven narratives
  • Ensure data integrity through rigorous validation and quality control processes
  • Stay current with industry best practices in data analytics methodologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas, NumPy), and statistical analysis
  • Expert knowledge of visualization tools (Tableau/Power BI)
  • Experience with ETL processes and data warehousing concepts
  • Strong problem-solving skills with attention to detail
  • Excellent communication abilities for technical and non-technical audiences
  • Portfolio demonstrating past data analysis projects required

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Data Warehousing Business Intelligence

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