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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekly Pay

DataFlow Solutions
Seattle
Estimated Salary
USD 70.000 – USD 90.000
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

Join DataFlow Solutions as a Data Analyst and experience the power of weekly pay! We're seeking a detail-oriented professional to transform raw data into actionable insights for our Fortune 500 clients. Enjoy immediate financial flexibility with our industry-leading payroll schedule while working on cutting-edge analytics projects that drive business growth.

Why Work With Us?

  • Weekly payroll processing – get paid faster
  • Comprehensive benefits package (Day 1 eligibility)
  • Hybrid work model (3 days in-office, 2 remote)
  • $5,000 annual professional development stipend
  • State-of-the-art tech stack including Tableau and AWS

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BICollaborate with cross-functional teams to define KPIs and reporting frameworks
  • Present findings to C-level executives with actionable recommendations
  • Develop automated reporting pipelines to improve data accessibility
  • Ensure data quality through rigorous validation and cleaning processes
  • Mentor junior analysts on best practices and methodologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field
  • 3+ years of professional data analysis experience
  • Expert proficiency in SQL and Python (Pandas, NumPy)
  • Advanced knowledge of data visualization tools (Tableau/Power BI)
  • Experience with statistical analysis and A/B testing
  • Strong business acumen and communication skills
  • Certification in Google Analytics or AWS Data Analytics preferred
  • Eligible to work in the United States

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Business Intelligence Data Cleaning A/B Testing

Ready to Take This Challenge?

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