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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

NexusTech Analytics
Seattle
Estimated Salary
USD 45 – USD 65
New
Live Update
12 September 2026
Deadline
12 Sep 2027

Job Description

Join NexusTech Analytics, a leader in data-driven solutions, as a Part-Time Data Analyst in Seattle. Shape the future of tech with flexible hours while working on cutting-edge projects that impact global markets. We offer competitive compensation, remote flexibility, and opportunities to collaborate with Fortune 500 clients. Perfect for students or professionals seeking work-life balance without compromising on impact.

Your insights will directly influence strategic decisions at top tech companies, providing exposure to complex datasets and advanced analytics methodologies. Our collaborative culture values innovation and continuous learning, ensuring you stay at the forefront of data science trends.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and actionable insights
  • Develop interactive dashboards using Power BI and Tableau for executive stakeholders
  • Collaborate with cross-functional teams to define data requirements and KPIs
  • Design and implement A/B tests to optimize product performance metrics
  • Create automated reporting pipelines to ensure real-time data accessibility
  • Present findings to leadership teams through compelling visualizations and narratives
  • Maintain data integrity through rigorous validation and quality control protocols

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 2+ years of experience in data analysis or business intelligence roles
  • Expert proficiency in SQL and relational database management
  • Advanced skills in data visualization tools (Power BI, Tableau, or Looker)
  • Experience with Python (Pandas, NumPy) or R for statistical analysis
  • Strong understanding of statistical methodologies and experimental design
  • Excellent communication skills with ability to translate technical insights for non-technical audiences
  • Ability to work independently with minimal supervision in a flexible environment

Required Skills

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

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