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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

InnovateData Solutions
Seattle, WA
Estimated Salary
USD 45 – USD 65
Live Update
31 Juli 2026
Deadline
31 Jul 2027

Job Description

Join our dynamic team as a Part-Time Data Analyst at InnovateData Solutions! We're seeking a detail-oriented professional to transform raw data into actionable insights that drive strategic decisions. This flexible role (20-25 hours/week) offers the perfect opportunity to leverage your analytical skills while maintaining work-life balance in Seattle's vibrant tech scene.

You'll collaborate with cross-functional teams to uncover trends, optimize processes, and present compelling visualizations. Our ideal candidate thrives in fast-paced environments and is passionate about solving complex business challenges through data-driven solutions.

Responsibilities

  • Analyze complex datasets using SQL, Python, and statistical methods to identify trends and anomalies
  • Develop interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Conduct A/B testing and statistical analysis to optimize product features and marketing campaigns
  • Automate data pipelines and ensure data quality through rigorous validation protocols
  • Present findings to leadership teams with clear, actionable recommendations
  • Collaborate with engineering teams to integrate data solutions into product development
  • Monitor KPIs and provide monthly performance insights to drive business growth

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 3+ years of professional data analysis experience with SQL proficiency
  • Advanced skills in Python (Pandas, NumPy) and data visualization tools
  • Experience with cloud platforms (AWS/GCP) and ETL processes
  • Strong business acumen with ability to translate technical findings into strategic insights
  • Proven track record of delivering high-quality data-driven projects
  • Excellent communication skills with ability to present to non-technical audiences
  • Portfolio demonstrating analytical work and visualization projects required

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis AWS ETL Data Pipelines A/B Testing

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