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Information Technology 🏢 Contract ⭐️ Verified

Data Analyst - Weekly Pay Opportunity

DataDriven Analytics Inc.
Seattle, WA
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
29 September 2026
Deadline
29 Sep 2027

Job Description

Join DataDriven Analytics Inc. as a Data Analyst in Seattle and experience the freedom of weekly pay! We're seeking a detail-oriented professional to transform raw data into actionable insights for our Fortune 500 clients. This contract role offers competitive compensation with weekly payouts, flexible scheduling, and remote-first work options. Collaborate with cross-functional teams to drive strategic decisions through data storytelling and advanced analytics. Enjoy Seattle's vibrant tech scene while building your portfolio with impactful projects.

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 track KPIs and business metrics
  • Present findings to executive stakeholders through compelling data narratives
  • Collaborate with engineering teams to improve data collection processes
  • Conduct A/B testing and statistical analysis to optimize business strategies
  • Maintain data integrity through rigorous validation and quality control measures

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 3+ years of professional data analysis experience
  • Advanced proficiency in SQL and at least one programming language (Python/R)
  • Expertise in data visualization tools (Tableau, Power BI, or D3.js)
  • Strong statistical knowledge and experimental design skills
  • Experience with cloud data platforms (AWS, GCP, or Azure)
  • Proven ability to translate complex data into business recommendations
  • Portfolio demonstrating data-driven projects with measurable impact

Required Skills

Data Analysis SQL Python Tableau Statistics Data Visualization AWS Business Intelligence

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